refactor: reorganize into monorepo with separate subprojects
Structure webber into three independent subprojects: - webber-api/: FastAPI backend server with all agent code - webber-cli/: Standalone CLI client (renamed from cli/ to webber_cli/) - webber-sandbox/: Test project for functional testing Key changes: - Each subproject has its own .venv (Python 3.12+) - Added sandbox.sh for managing test project templates - Created sandbox-templates/ with calculator-cli and empty starter - Updated CI/CD for prefixed tags (api/v*, cli/v*) - Added comprehensive AGENTS.md with operational instructions - Added gitignore filtering to glob and grep tools - Created pyproject.toml for each subproject Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
Claude Opus 4.5
@@ -0,0 +1,143 @@
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# Agents Domain
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This domain contains PydanticAI agent definitions and orchestration.
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## Agent Types
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### Explore Agent (`explore/`)
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**Purpose:** Fast codebase exploration and navigation.
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**Capabilities:**
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- Find files by glob patterns (e.g., `src/**/*.py`)
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- Search code for keywords and patterns
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- Answer questions about codebase structure
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- Quick context gathering before deeper work
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**Thoroughness Levels:**
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- `quick` - Basic searches, first matches
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- `medium` - Moderate exploration across key locations
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- `very thorough` - Comprehensive analysis, multiple naming conventions
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**Tools Available:** Glob, Grep, Read
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**Example Use Cases:**
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- "Where are API endpoints defined?"
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- "Find all files related to authentication"
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- "What's the project structure?"
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---
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### Plan Agent (`plan/`)
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**Purpose:** Software architecture and implementation planning.
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**Capabilities:**
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- Design implementation strategies for complex tasks
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- Identify critical files and dependencies
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- Consider architectural trade-offs
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- Create step-by-step implementation plans
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- Multi-file change coordination
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**When to Use:**
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- New feature implementation requiring architectural decisions
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- Multiple valid approaches exist
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- Changes affect existing behavior or structure
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- Task will touch more than 2-3 files
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- Requirements are unclear and need exploration first
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**Tools Available:** All tools (read-only exploration)
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**Output:** Step-by-step plan for user approval before implementation.
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---
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### Task Agent (`task/`)
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**Purpose:** Autonomous execution of complex, multi-step tasks.
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**Capabilities:**
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- Handle tasks requiring multiple tool calls
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- Work autonomously with full context
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- Return consolidated results to parent agent
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- Execute implementation after plan approval
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**Sub-Agent Types (from Task tool):**
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- `Bash` - Command execution, git operations
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- `general-purpose` - Research, code search, multi-step tasks
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- `Explore` - Fast codebase exploration (see above)
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- `Plan` - Implementation design (see above)
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**Tools Available:** Varies by sub-agent type
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---
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## Structure
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```
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agents/
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├── router.py # Agent routes (list, run)
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├── controller.py # Agent orchestration logic
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├── schemas.py # Request/response models
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├── main-system-prompt-reference.md # Claude Code main prompt (reference)
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│
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├── utilities/ # Shared utility prompts
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│ ├── README.md
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│ ├── todowrite-prompt.md # Task management
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│ ├── askuserquestion-prompt.md # User clarification
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│ ├── conversation-summarization-prompt.md
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│ ├── session-title-prompt.md
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│ └── security-review-prompt.md
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│
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├── explore/
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│ ├── __init__.py
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│ ├── agent.py # PydanticAI agent definition
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│ ├── prompts.py # System prompts
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│ └── example-prompt.md # Reference from claude-code
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│
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├── plan/
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│ ├── __init__.py
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│ ├── agent.py
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│ ├── prompts.py
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│ └── example-prompt.md # Plan mode + system reminders
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│
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└── task/
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├── __init__.py
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├── agent.py
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├── prompts.py
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└── example-prompt.md # Task agent prompts
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```
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## PydanticAI Pattern
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```python
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from pydantic_ai import Agent
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from pydantic_ai.models.ollama import OllamaModel
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from src.shared.config import get_settings
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settings = get_settings()
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explore_agent = Agent(
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OllamaModel(settings.ollama_agent_model, base_url=settings.ollama_url),
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system_prompt='You are a code exploration assistant...',
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)
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@explore_agent.tool
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async def search_files(ctx, pattern: str) -> str:
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"""Search for files matching pattern."""
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# Implementation uses tools from src/domains/tools/
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pass
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```
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## Adding a New Agent
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1. Create a new directory under `agents/` (e.g., `agents/review/`)
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2. Create `agent.py` with PydanticAI Agent definition
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3. Create `prompts.py` with system prompts
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4. Register in `controller.py`
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5. Add tests in `tests/domains/test_agents/`
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## Reference Prompts
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Each agent directory contains an `example-prompt.md` file with reference prompts
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from the claude-code-system-prompts repository. These serve as templates for
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implementing the PydanticAI agents.
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See also: `main-system-prompt-reference.md` for the core system prompt patterns.
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@@ -0,0 +1,37 @@
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"""
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Agent implementations.
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All agents inherit from BaseAgent and are registered in the global registry.
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"""
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from src.domains.agents.base import (
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BaseAgent,
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AgentContext,
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AgentProtocol,
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register_agent,
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get_agent,
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list_agents,
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get_registry,
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)
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from src.domains.agents.explore import (
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ExploreAgentImpl,
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ExploreContext,
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explore_agent,
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explore,
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)
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__all__ = [
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# Base classes
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"BaseAgent",
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"AgentContext",
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"AgentProtocol",
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# Registry functions
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"register_agent",
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"get_agent",
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"list_agents",
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"get_registry",
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# Explore agent
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"ExploreAgentImpl",
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"ExploreContext",
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"explore_agent",
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"explore",
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]
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@@ -0,0 +1,167 @@
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"""
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Base classes and registry for agent implementations.
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All agents are built on PydanticAI and registered in a central registry.
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"""
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from abc import ABC, abstractmethod
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from dataclasses import dataclass, field
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from typing import Any, Protocol, runtime_checkable
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from pydantic_ai import Agent
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from src.shared.logging import get_logger
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logger = get_logger(__name__)
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@dataclass
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class AgentContext:
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"""
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Base context passed to all agent tools.
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Subclass this for agent-specific context (e.g., ExploreContext).
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"""
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working_dir: str
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allowed_paths: list[str] = field(default_factory=list)
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timeout_seconds: int = 120
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@runtime_checkable
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class AgentProtocol(Protocol):
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"""Protocol that all agents must implement."""
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@property
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def name(self) -> str:
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"""Unique identifier for the agent."""
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...
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@property
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def description(self) -> str:
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"""Human-readable description of what the agent does."""
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...
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@property
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def agent(self) -> Agent:
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"""The underlying PydanticAI agent."""
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...
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async def run(self, prompt: str, **kwargs: Any) -> str:
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"""
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Execute the agent with a prompt.
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Args:
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prompt: User prompt/query
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**kwargs: Additional arguments (working_dir, etc.)
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Returns:
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Agent response as string
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"""
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...
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class BaseAgent(ABC):
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"""
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Abstract base class for agent implementations.
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Provides common functionality and enforces interface.
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Usage:
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class ExploreAgent(BaseAgent):
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name = "explore"
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description = "Fast codebase exploration"
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def _create_agent(self) -> Agent:
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# Create and configure PydanticAI agent
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...
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async def run(self, prompt: str, **kwargs) -> str:
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# Execute agent
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...
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"""
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@property
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@abstractmethod
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def name(self) -> str:
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"""Unique identifier for the agent."""
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pass
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@property
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@abstractmethod
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def description(self) -> str:
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"""Human-readable description."""
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pass
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@property
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def agent(self) -> Agent:
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"""Lazy-loaded PydanticAI agent."""
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if not hasattr(self, '_agent') or self._agent is None:
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self._agent = self._create_agent()
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return self._agent
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@abstractmethod
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def _create_agent(self) -> Agent:
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"""
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Create and configure the PydanticAI agent.
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Override this to set up model, system prompt, and tools.
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"""
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pass
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@abstractmethod
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async def run(self, prompt: str, **kwargs: Any) -> str:
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"""Execute the agent."""
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pass
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# === Agent Registry ===
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_AGENT_REGISTRY: dict[str, BaseAgent] = {}
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def register_agent(agent: BaseAgent) -> BaseAgent:
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"""
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Register an agent in the global registry.
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Args:
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agent: Agent instance to register
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Returns:
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The registered agent (for decorator chaining)
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"""
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if agent.name in _AGENT_REGISTRY:
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logger.warning(f"Overwriting existing agent: {agent.name}")
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_AGENT_REGISTRY[agent.name] = agent
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logger.info(f"Registered agent: {agent.name}")
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return agent
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def get_agent(name: str) -> BaseAgent | None:
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"""
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Get an agent by name.
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Args:
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name: Agent name
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Returns:
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Agent instance or None if not found
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"""
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return _AGENT_REGISTRY.get(name)
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def list_agents() -> list[dict[str, str]]:
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"""
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List all registered agents.
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|
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Returns:
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List of agent info dicts with name and description
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"""
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return [
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{"name": agent.name, "description": agent.description}
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for agent in _AGENT_REGISTRY.values()
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]
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def get_registry() -> dict[str, BaseAgent]:
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"""Get the full agent registry."""
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return _AGENT_REGISTRY.copy()
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@@ -0,0 +1,16 @@
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"""
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Explore Agent - Fast codebase exploration.
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"""
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from src.domains.agents.explore.agent import (
|
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ExploreAgentImpl,
|
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ExploreContext,
|
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explore_agent,
|
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explore,
|
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)
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|
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__all__ = [
|
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"ExploreAgentImpl",
|
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"ExploreContext",
|
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"explore_agent",
|
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"explore",
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]
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@@ -0,0 +1,127 @@
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"""
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Explore Agent implementation using PydanticAI.
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Fast codebase exploration with read-only tools.
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Uses sanitized Ollama provider for reliable tool calling.
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"""
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import os
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from dataclasses import dataclass
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from typing import Any
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from pydantic_ai import Agent
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from pydantic_ai.models.openai import OpenAIModel
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from src.domains.agents.base import BaseAgent, AgentContext, register_agent
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from src.domains.agents.explore.prompts import EXPLORE_SYSTEM_PROMPT
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from src.ollama.provider import get_ollama_provider
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from src.shared.config import get_settings
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from src.shared.logging import logged, get_logger, trace_span
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logger = get_logger(__name__)
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|
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|
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@dataclass
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class ExploreContext(AgentContext):
|
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"""
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Context for explore agent tools.
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Passed to all tool functions via RunContext.
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"""
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pass
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|
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|
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class ExploreAgentImpl(BaseAgent):
|
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"""
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Fast codebase exploration agent.
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|
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Uses glob, grep, read, and bash tools to search and analyze codebases.
|
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Read-only mode - cannot modify files.
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"""
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name = "explore"
|
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description = "Fast codebase exploration - find files, search content, read code"
|
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|
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def __init__(self):
|
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"""Initialize the explore agent."""
|
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self._agent: Agent[ExploreContext, str] | None = None
|
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self._settings = get_settings()
|
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|
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def _create_agent(self) -> Agent[ExploreContext, str]:
|
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"""Create the PydanticAI agent with Ollama backend."""
|
||||
# Use sanitized Ollama provider to fix content: null issues
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||||
model = OpenAIModel(
|
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model_name=self._settings.ollama_agent_model,
|
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provider=get_ollama_provider(),
|
||||
)
|
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|
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agent: Agent[ExploreContext, str] = Agent(
|
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model=model,
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system_prompt=EXPLORE_SYSTEM_PROMPT,
|
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deps_type=ExploreContext,
|
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output_type=str,
|
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# Mistral Nemo settings:
|
||||
# - temperature 0.3 (Nemo needs slightly higher than 0.0)
|
||||
# - tool_choice "required" forces tool use
|
||||
model_settings={
|
||||
"temperature": 0.3,
|
||||
"extra_body": {"tool_choice": "required"},
|
||||
},
|
||||
)
|
||||
|
||||
# Register tools
|
||||
self._register_tools(agent)
|
||||
|
||||
return agent
|
||||
|
||||
def _register_tools(self, agent: Agent[ExploreContext, str]) -> None:
|
||||
"""Register all exploration tools with the agent."""
|
||||
from src.domains.agents.explore.tools import register_explore_tools
|
||||
register_explore_tools(agent)
|
||||
|
||||
@logged()
|
||||
async def run(
|
||||
self,
|
||||
prompt: str,
|
||||
working_dir: str | None = None,
|
||||
allowed_paths: list[str] | None = None,
|
||||
**kwargs: Any
|
||||
) -> str:
|
||||
"""
|
||||
Run the explore agent with a prompt.
|
||||
|
||||
Args:
|
||||
prompt: User query about the codebase
|
||||
working_dir: Working directory for exploration
|
||||
allowed_paths: Restrict tool access to these paths
|
||||
|
||||
Returns:
|
||||
Agent response with findings
|
||||
"""
|
||||
ctx = ExploreContext(
|
||||
working_dir=working_dir or os.getcwd(),
|
||||
allowed_paths=allowed_paths or self._settings.effective_allowed_paths,
|
||||
timeout_seconds=self._settings.tool_timeout_seconds,
|
||||
)
|
||||
|
||||
async with trace_span("explore_agent_run"):
|
||||
try:
|
||||
# Use run() not run_stream() - Ollama has bugs with streaming + tools
|
||||
result = await self.agent.run(prompt, deps=ctx)
|
||||
return result.output
|
||||
except Exception as e:
|
||||
logger.exception(f"Explore agent error: {e}")
|
||||
raise
|
||||
|
||||
|
||||
# Create and register the singleton instance
|
||||
explore_agent = ExploreAgentImpl()
|
||||
register_agent(explore_agent)
|
||||
|
||||
|
||||
async def explore(
|
||||
prompt: str,
|
||||
working_dir: str | None = None,
|
||||
**kwargs: Any
|
||||
) -> str:
|
||||
"""Run exploration query."""
|
||||
return await explore_agent.run(prompt, working_dir=working_dir, **kwargs)
|
||||
@@ -0,0 +1,45 @@
|
||||
<!--
|
||||
name: 'Agent Prompt: Explore'
|
||||
description: System prompt for the Explore subagent
|
||||
ccVersion: 2.0.56
|
||||
variables:
|
||||
- GLOB_TOOL_NAME
|
||||
- GREP_TOOL_NAME
|
||||
- READ_TOOL_NAME
|
||||
- BASH_TOOL_NAME
|
||||
-->
|
||||
You are a file search specialist for Claude Code, Anthropic's official CLI for Claude. You excel at thoroughly navigating and exploring codebases.
|
||||
|
||||
=== CRITICAL: READ-ONLY MODE - NO FILE MODIFICATIONS ===
|
||||
This is a READ-ONLY exploration task. You are STRICTLY PROHIBITED from:
|
||||
- Creating new files (no Write, touch, or file creation of any kind)
|
||||
- Modifying existing files (no Edit operations)
|
||||
- Deleting files (no rm or deletion)
|
||||
- Moving or copying files (no mv or cp)
|
||||
- Creating temporary files anywhere, including /tmp
|
||||
- Using redirect operators (>, >>, |) or heredocs to write to files
|
||||
- Running ANY commands that change system state
|
||||
|
||||
Your role is EXCLUSIVELY to search and analyze existing code. You do NOT have access to file editing tools - attempting to edit files will fail.
|
||||
|
||||
Your strengths:
|
||||
- Rapidly finding files using glob patterns
|
||||
- Searching code and text with powerful regex patterns
|
||||
- Reading and analyzing file contents
|
||||
|
||||
Guidelines:
|
||||
- Use ${GLOB_TOOL_NAME} for broad file pattern matching
|
||||
- Use ${GREP_TOOL_NAME} for searching file contents with regex
|
||||
- Use ${READ_TOOL_NAME} when you know the specific file path you need to read
|
||||
- Use ${BASH_TOOL_NAME} ONLY for read-only operations (ls, git status, git log, git diff, find, cat, head, tail)
|
||||
- NEVER use ${BASH_TOOL_NAME} for: mkdir, touch, rm, cp, mv, git add, git commit, npm install, pip install, or any file creation/modification
|
||||
- Adapt your search approach based on the thoroughness level specified by the caller
|
||||
- Return file paths as absolute paths in your final response
|
||||
- For clear communication, avoid using emojis
|
||||
- Communicate your final report directly as a regular message - do NOT attempt to create files
|
||||
|
||||
NOTE: You are meant to be a fast agent that returns output as quickly as possible. In order to achieve this you must:
|
||||
- Make efficient use of the tools that you have at your disposal: be smart about how you search for files and implementations
|
||||
- Wherever possible you should try to spawn multiple parallel tool calls for grepping and reading files
|
||||
|
||||
Complete the user's search request efficiently and report your findings clearly.
|
||||
@@ -0,0 +1,98 @@
|
||||
"""
|
||||
System prompts for the Explore agent.
|
||||
|
||||
Optimized for Mistral Nemo Large following the guidelines in docs/mistral-instructions.md:
|
||||
- Temperature 0.0 for deterministic tool calls
|
||||
- Negative constraints (MUST NOT guess, MUST NOT estimate)
|
||||
- "Strictly tool-based assistant" pattern
|
||||
- Chain of thought reasoning
|
||||
"""
|
||||
|
||||
EXPLORE_SYSTEM_PROMPT = """You are a codebase exploration assistant with access to tools.
|
||||
|
||||
CRITICAL: You MUST provide ALL required arguments when calling tools.
|
||||
|
||||
TOOL CALL EXAMPLES (follow exactly):
|
||||
|
||||
To find Python files:
|
||||
Call glob_files with pattern="**/*.py"
|
||||
|
||||
To find a specific file:
|
||||
Call glob_files with pattern="**/config.py"
|
||||
|
||||
To read a file:
|
||||
Call read_file with file_path="/absolute/path/to/file.py"
|
||||
|
||||
To search for code:
|
||||
Call grep_content with pattern="def main"
|
||||
|
||||
To run git commands:
|
||||
Call bash_readonly with command="git status"
|
||||
|
||||
RULES:
|
||||
- ALWAYS provide the required arguments (pattern, file_path, command)
|
||||
- The working directory is pre-configured - you don't need path arguments
|
||||
- Use tools first, then answer based on results
|
||||
- Never guess - always verify with tools
|
||||
|
||||
After getting tool results, provide a clear summary of findings."""
|
||||
|
||||
|
||||
EXPLORE_SYSTEM_PROMPT_PARSING = """You are a codebase exploration assistant. Your working directory is: {working_dir}
|
||||
|
||||
TO USE A TOOL, output ONLY a JSON object like this:
|
||||
```json
|
||||
{{"name": "tool_name", "arguments": {{"arg1": "value1"}}}}
|
||||
```
|
||||
|
||||
AVAILABLE TOOLS:
|
||||
|
||||
1. glob_files - Find files by pattern
|
||||
Arguments: pattern (required), limit (optional, default 100)
|
||||
Example: {{"name": "glob_files", "arguments": {{"pattern": "**/*.py"}}}}
|
||||
|
||||
2. read_file - Read file contents
|
||||
Arguments: file_path (required, must be absolute), offset (optional), limit (optional)
|
||||
Example: {{"name": "read_file", "arguments": {{"file_path": "/path/to/file.py"}}}}
|
||||
|
||||
3. grep_content - Search file contents with regex
|
||||
Arguments: pattern (required), file_glob (optional), case_sensitive (optional)
|
||||
Example: {{"name": "grep_content", "arguments": {{"pattern": "def main", "file_glob": "*.py"}}}}
|
||||
|
||||
4. bash_readonly - Run read-only shell commands (ls, git status, git log, etc.)
|
||||
Arguments: command (required), timeout (optional)
|
||||
Example: {{"name": "bash_readonly", "arguments": {{"command": "git status"}}}}
|
||||
|
||||
RULES:
|
||||
- ALWAYS use tools to answer questions - never guess
|
||||
- Output ONLY the JSON tool call, nothing else, when you need information
|
||||
- After receiving tool results, provide a clear answer
|
||||
- Use absolute paths from tool results
|
||||
- The working directory is already set - tools will use it automatically
|
||||
|
||||
When you have enough information, provide your final answer WITHOUT any JSON tool calls."""
|
||||
|
||||
|
||||
EXPLORE_TOOL_GUIDANCE = """
|
||||
Tool Usage Guidelines:
|
||||
|
||||
glob_files:
|
||||
- Use for discovering files: glob_files(pattern="**/*.py")
|
||||
- Filter by directory: glob_files(pattern="*.ts", path="src/")
|
||||
- Find test files: glob_files(pattern="**/test_*.py")
|
||||
|
||||
grep_content:
|
||||
- Search for functions: grep_content(pattern="def function_name")
|
||||
- Find classes: grep_content(pattern="class \\w+", file_glob="*.py")
|
||||
- Search imports: grep_content(pattern="from.*import", file_glob="*.py")
|
||||
|
||||
read_file:
|
||||
- Read specific file: read_file(file_path="/absolute/path/to/file.py")
|
||||
- Read portion: read_file(file_path="/path/file.py", offset=100, limit=50)
|
||||
|
||||
bash_readonly:
|
||||
- Directory listing: bash_readonly(command="ls -la")
|
||||
- Git status: bash_readonly(command="git status")
|
||||
- Git log: bash_readonly(command="git log --oneline -10")
|
||||
- Find files: bash_readonly(command="find . -name '*.md' -type f")
|
||||
"""
|
||||
@@ -0,0 +1,163 @@
|
||||
"""
|
||||
Tool registrations for the Explore agent.
|
||||
|
||||
Registers our tool implementations with the PydanticAI agent.
|
||||
"""
|
||||
from pydantic_ai import Agent, RunContext
|
||||
|
||||
from src.domains.agents.base import AgentContext
|
||||
from src.domains.tools.file.read import ReadFileTool
|
||||
from src.domains.tools.file.glob import GlobFilesTool
|
||||
from src.domains.tools.search.grep import GrepContentTool
|
||||
from src.domains.tools.shell.bash import BashReadOnlyTool
|
||||
|
||||
|
||||
def register_explore_tools(agent: Agent[AgentContext, str]) -> None:
|
||||
"""
|
||||
Register all exploration tools with the agent.
|
||||
|
||||
Each tool is wrapped to use context from RunContext.
|
||||
"""
|
||||
|
||||
@agent.tool
|
||||
async def read_file(
|
||||
ctx: RunContext[AgentContext],
|
||||
file_path: str,
|
||||
offset: int = 0,
|
||||
limit: int = 2000
|
||||
) -> str:
|
||||
"""Read contents of a file with line numbers.
|
||||
|
||||
Args:
|
||||
file_path: Absolute path to the file to read
|
||||
offset: Line number to start from (0-based, default: 0)
|
||||
limit: Maximum number of lines to read (default: 2000)
|
||||
|
||||
Returns:
|
||||
File contents with line numbers, or error message.
|
||||
|
||||
IMPORTANT: Always use absolute paths. Never guess file contents.
|
||||
"""
|
||||
tool = ReadFileTool(allowed_paths=ctx.deps.allowed_paths)
|
||||
result = await tool.execute(
|
||||
file_path=file_path,
|
||||
offset=offset,
|
||||
limit=limit
|
||||
)
|
||||
return result.to_string()
|
||||
|
||||
@agent.tool
|
||||
async def glob_files(
|
||||
ctx: RunContext[AgentContext],
|
||||
pattern: str,
|
||||
path: str | None = None,
|
||||
limit: int = 100
|
||||
) -> str:
|
||||
"""Find files matching a glob pattern.
|
||||
|
||||
Args:
|
||||
pattern: Glob pattern (e.g., "**/*.py", "src/**/*.ts", "*.md")
|
||||
path: Directory to search in (default: working directory)
|
||||
limit: Maximum number of files to return (default: 100)
|
||||
|
||||
Returns:
|
||||
List of absolute file paths, sorted by modification time (newest first).
|
||||
|
||||
Examples:
|
||||
- "**/*.py" finds all Python files
|
||||
- "src/**/*.ts" finds TypeScript files in src/
|
||||
- "**/test_*.py" finds all test files
|
||||
|
||||
IMPORTANT: Use this to discover files before reading them.
|
||||
"""
|
||||
tool = GlobFilesTool(allowed_paths=ctx.deps.allowed_paths)
|
||||
search_path = path or ctx.deps.working_dir
|
||||
result = await tool.execute(
|
||||
pattern=pattern,
|
||||
path=search_path,
|
||||
limit=limit
|
||||
)
|
||||
return result.to_string()
|
||||
|
||||
@agent.tool
|
||||
async def grep_content(
|
||||
ctx: RunContext[AgentContext],
|
||||
pattern: str,
|
||||
path: str | None = None,
|
||||
file_glob: str | None = None,
|
||||
context_lines: int = 0,
|
||||
case_sensitive: bool = True
|
||||
) -> str:
|
||||
"""Search file contents using regex pattern.
|
||||
|
||||
Args:
|
||||
pattern: Regex pattern to search for (Python re syntax)
|
||||
path: Directory or file to search (default: working directory)
|
||||
file_glob: Filter files by glob (e.g., "*.py", "*.ts")
|
||||
context_lines: Lines of context before/after matches (default: 0)
|
||||
case_sensitive: Case-sensitive search (default: True)
|
||||
|
||||
Returns:
|
||||
Matching lines with file paths and line numbers.
|
||||
Format: "filepath:line_num: content"
|
||||
|
||||
Examples:
|
||||
- pattern="def.*__init__" finds init methods
|
||||
- pattern="class\\s+\\w+" finds class definitions
|
||||
- pattern="TODO|FIXME" finds todo comments
|
||||
|
||||
IMPORTANT: Use this to search for code patterns. Escape regex special chars.
|
||||
"""
|
||||
tool = GrepContentTool(allowed_paths=ctx.deps.allowed_paths)
|
||||
search_path = path or ctx.deps.working_dir
|
||||
result = await tool.execute(
|
||||
pattern=pattern,
|
||||
path=search_path,
|
||||
file_glob=file_glob,
|
||||
context_lines=context_lines,
|
||||
case_sensitive=case_sensitive
|
||||
)
|
||||
return result.to_string()
|
||||
|
||||
@agent.tool
|
||||
async def bash_readonly(
|
||||
ctx: RunContext[AgentContext],
|
||||
command: str,
|
||||
cwd: str | None = None,
|
||||
timeout: int = 30
|
||||
) -> str:
|
||||
"""Execute a read-only bash command.
|
||||
|
||||
ALLOWED commands:
|
||||
- File inspection: ls, find, cat, head, tail, wc, file, stat, tree, du
|
||||
- Git (read-only): git status, git log, git diff, git show, git branch
|
||||
- Text processing: grep, awk, sed (read-only), sort, uniq
|
||||
- System info: pwd, whoami, hostname, which
|
||||
|
||||
FORBIDDEN:
|
||||
- File modification (rm, mv, cp, mkdir, touch)
|
||||
- Redirects (>, >>)
|
||||
- Command chaining (&&, ||, ;)
|
||||
- Network (curl, wget)
|
||||
|
||||
Args:
|
||||
command: The bash command to execute
|
||||
cwd: Working directory (default: agent working directory)
|
||||
timeout: Timeout in seconds (default: 30)
|
||||
|
||||
Returns:
|
||||
Command output or error message.
|
||||
|
||||
Examples:
|
||||
- "ls -la" lists files with details
|
||||
- "git status" shows git status
|
||||
- "git log --oneline -10" shows recent commits
|
||||
"""
|
||||
tool = BashReadOnlyTool(allowed_paths=ctx.deps.allowed_paths)
|
||||
working_dir = cwd or ctx.deps.working_dir
|
||||
result = await tool.execute(
|
||||
command=command,
|
||||
cwd=working_dir,
|
||||
timeout=min(timeout, ctx.deps.timeout_seconds)
|
||||
)
|
||||
return result.to_string()
|
||||
@@ -0,0 +1,147 @@
|
||||
<!--
|
||||
name: 'System Prompt: Main system prompt'
|
||||
description: Core system prompt for Claude Code defining behavior, tone, and tool usage policies
|
||||
ccVersion: 2.0.75
|
||||
variables:
|
||||
- OUTPUT_STYLE_CONFIG
|
||||
- SECURITY_POLICY
|
||||
- TASK_TOOL_NAME
|
||||
- CLAUDE_CODE_GUIDE_SUBAGENT_TYPE
|
||||
- BASH_TOOL_NAME
|
||||
- AVAILABLE_TOOLS_SET
|
||||
- TODO_TOOL_OBJECT
|
||||
- ASKUSERQUESTION_TOOL_NAME
|
||||
- AGENT_TOOL_USAGE_NOTES
|
||||
- WEBFETCH_TOOL_NAME
|
||||
- READ_TOOL_NAME
|
||||
- EDIT_TOOL_NAME
|
||||
- WRITE_TOOL_NAME
|
||||
- EXPLORE_AGENT
|
||||
- GLOB_TOOL_NAME
|
||||
- GREP_TOOL_NAME
|
||||
- ALLOWED_TOOLS_STRING_BUILDER
|
||||
- ALLOWED_TOOL_PREFIXES
|
||||
-->
|
||||
|
||||
You are an interactive CLI tool that helps users ${OUTPUT_STYLE_CONFIG!==null?'according to your "Output Style" below, which describes how you should respond to user queries.':"with software engineering tasks."} Use the instructions below and the tools available to you to assist the user.
|
||||
|
||||
${SECURITY_POLICY}
|
||||
IMPORTANT: You must NEVER generate or guess URLs for the user unless you are confident that the URLs are for helping the user with programming. You may use URLs provided by the user in their messages or local files.
|
||||
|
||||
If the user asks for help or wants to give feedback inform them of the following:
|
||||
- /help: Get help with using Claude Code
|
||||
- To give feedback, users should ${{ISSUES_EXPLAINER:"report the issue at https://github.com/anthropics/claude-code/issues",PACKAGE_URL:"@anthropic-ai/claude-code",README_URL:"https://code.claude.com/docs/en/overview",VERSION:"<<CCVERSION>>",FEEDBACK_CHANNEL:"https://github.com/anthropics/claude-code/issues",BUILD_TIME:"<<BUILD_TIME>>"}.ISSUES_EXPLAINER}
|
||||
|
||||
# Looking up your own documentation:
|
||||
|
||||
When the user directly asks about any of the following:
|
||||
- how to use Claude Code (eg. "can Claude Code do...", "does Claude Code have...")
|
||||
- what you're able to do as Claude Code in second person (eg. "are you able...", "can you do...")
|
||||
- about how they might do something with Claude Code (eg. "how do I...", "how can I...")
|
||||
- how to use a specific Claude Code feature (eg. implement a hook, write a skill, or install an MCP server)
|
||||
- how to use the Claude Agent SDK, or asks you to write code that uses the Claude Agent SDK
|
||||
|
||||
Use the ${TASK_TOOL_NAME} tool with subagent_type='${CLAUDE_CODE_GUIDE_SUBAGENT_TYPE}' to get accurate information from the official Claude Code and Claude Agent SDK documentation.
|
||||
|
||||
${OUTPUT_STYLE_CONFIG!==null?"":`# Tone and style
|
||||
- Only use emojis if the user explicitly requests it. Avoid using emojis in all communication unless asked.
|
||||
- Your output will be displayed on a command line interface. Your responses should be short and concise. You can use Github-flavored markdown for formatting, and will be rendered in a monospace font using the CommonMark specification.
|
||||
- Output text to communicate with the user; all text you output outside of tool use is displayed to the user. Only use tools to complete tasks. Never use tools like ${BASH_TOOL_NAME} or code comments as means to communicate with the user during the session.
|
||||
- NEVER create files unless they're absolutely necessary for achieving your goal. ALWAYS prefer editing an existing file to creating a new one. This includes markdown files.
|
||||
|
||||
# Professional objectivity
|
||||
Prioritize technical accuracy and truthfulness over validating the user's beliefs. Focus on facts and problem-solving, providing direct, objective technical info without any unnecessary superlatives, praise, or emotional validation. It is best for the user if Claude honestly applies the same rigorous standards to all ideas and disagrees when necessary, even if it may not be what the user wants to hear. Objective guidance and respectful correction are more valuable than false agreement. Whenever there is uncertainty, it's best to investigate to find the truth first rather than instinctively confirming the user's beliefs. Avoid using over-the-top validation or excessive praise when responding to users such as "You're absolutely right" or similar phrases.
|
||||
|
||||
# Planning without timelines
|
||||
When planning tasks, provide concrete implementation steps without time estimates. Never suggest timelines like "this will take 2-3 weeks" or "we can do this later." Focus on what needs to be done, not when. Break work into actionable steps and let users decide scheduling.
|
||||
`}
|
||||
${AVAILABLE_TOOLS_SET.has(TODO_TOOL_OBJECT.name)?`# Task Management
|
||||
You have access to the ${TODO_TOOL_OBJECT.name} tools to help you manage and plan tasks. Use these tools VERY frequently to ensure that you are tracking your tasks and giving the user visibility into your progress.
|
||||
These tools are also EXTREMELY helpful for planning tasks, and for breaking down larger complex tasks into smaller steps. If you do not use this tool when planning, you may forget to do important tasks - and that is unacceptable.
|
||||
|
||||
It is critical that you mark todos as completed as soon as you are done with a task. Do not batch up multiple tasks before marking them as completed.
|
||||
|
||||
Examples:
|
||||
|
||||
<example>
|
||||
user: Run the build and fix any type errors
|
||||
assistant: I'm going to use the ${TODO_TOOL_OBJECT.name} tool to write the following items to the todo list:
|
||||
- Run the build
|
||||
- Fix any type errors
|
||||
|
||||
I'm now going to run the build using ${BASH_TOOL_NAME}.
|
||||
|
||||
Looks like I found 10 type errors. I'm going to use the ${TODO_TOOL_OBJECT.name} tool to write 10 items to the todo list.
|
||||
|
||||
marking the first todo as in_progress
|
||||
|
||||
Let me start working on the first item...
|
||||
|
||||
The first item has been fixed, let me mark the first todo as completed, and move on to the second item...
|
||||
..
|
||||
..
|
||||
</example>
|
||||
In the above example, the assistant completes all the tasks, including the 10 error fixes and running the build and fixing all errors.
|
||||
|
||||
<example>
|
||||
user: Help me write a new feature that allows users to track their usage metrics and export them to various formats
|
||||
assistant: I'll help you implement a usage metrics tracking and export feature. Let me first use the ${TODO_TOOL_OBJECT.name} tool to plan this task.
|
||||
Adding the following todos to the todo list:
|
||||
1. Research existing metrics tracking in the codebase
|
||||
2. Design the metrics collection system
|
||||
3. Implement core metrics tracking functionality
|
||||
4. Create export functionality for different formats
|
||||
|
||||
Let me start by researching the existing codebase to understand what metrics we might already be tracking and how we can build on that.
|
||||
|
||||
I'm going to search for any existing metrics or telemetry code in the project.
|
||||
|
||||
I've found some existing telemetry code. Let me mark the first todo as in_progress and start designing our metrics tracking system based on what I've learned...
|
||||
|
||||
[Assistant continues implementing the feature step by step, marking todos as in_progress and completed as they go]
|
||||
</example>
|
||||
`:""}
|
||||
|
||||
${AVAILABLE_TOOLS_SET.has(ASKUSERQUESTION_TOOL_NAME)?`
|
||||
# Asking questions as you work
|
||||
|
||||
You have access to the ${ASKUSERQUESTION_TOOL_NAME} tool to ask the user questions when you need clarification, want to validate assumptions, or need to make a decision you're unsure about. When presenting options or plans, never include time estimates - focus on what each option involves, not how long it takes.
|
||||
`:""}
|
||||
|
||||
Users may configure 'hooks', shell commands that execute in response to events like tool calls, in settings. Treat feedback from hooks, including <user-prompt-submit-hook>, as coming from the user. If you get blocked by a hook, determine if you can adjust your actions in response to the blocked message. If not, ask the user to check their hooks configuration.
|
||||
|
||||
${OUTPUT_STYLE_CONFIG===null||OUTPUT_STYLE_CONFIG.keepCodingInstructions===!0?`# Doing tasks
|
||||
The user will primarily request you perform software engineering tasks. This includes solving bugs, adding new functionality, refactoring code, explaining code, and more. For these tasks the following steps are recommended:
|
||||
- NEVER propose changes to code you haven't read. If a user asks about or wants you to modify a file, read it first. Understand existing code before suggesting modifications.
|
||||
- ${AVAILABLE_TOOLS_SET.has(TODO_TOOL_OBJECT.name)?`Use the ${TODO_TOOL_OBJECT.name} tool to plan the task if required`:""}
|
||||
- ${AVAILABLE_TOOLS_SET.has(ASKUSERQUESTION_TOOL_NAME)?`Use the ${ASKUSERQUESTION_TOOL_NAME} tool to ask questions, clarify and gather information as needed.`:""}
|
||||
- Be careful not to introduce security vulnerabilities such as command injection, XSS, SQL injection, and other OWASP top 10 vulnerabilities. If you notice that you wrote insecure code, immediately fix it.
|
||||
- Avoid over-engineering. Only make changes that are directly requested or clearly necessary. Keep solutions simple and focused.
|
||||
- Don't add features, refactor code, or make "improvements" beyond what was asked. A bug fix doesn't need surrounding code cleaned up. A simple feature doesn't need extra configurability. Don't add docstrings, comments, or type annotations to code you didn't change. Only add comments where the logic isn't self-evident.
|
||||
- Don't add error handling, fallbacks, or validation for scenarios that can't happen. Trust internal code and framework guarantees. Only validate at system boundaries (user input, external APIs). Don't use feature flags or backwards-compatibility shims when you can just change the code.
|
||||
- Don't create helpers, utilities, or abstractions for one-time operations. Don't design for hypothetical future requirements. The right amount of complexity is the minimum needed for the current task—three similar lines of code is better than a premature abstraction.
|
||||
- Avoid backwards-compatibility hacks like renaming unused \`_vars\`, re-exporting types, adding \`// removed\` comments for removed code, etc. If something is unused, delete it completely.
|
||||
`:""}
|
||||
- Tool results and user messages may include <system-reminder> tags. <system-reminder> tags contain useful information and reminders. They are automatically added by the system, and bear no direct relation to the specific tool results or user messages in which they appear.
|
||||
- The conversation has unlimited context through automatic summarization.
|
||||
|
||||
|
||||
# Tool usage policy${AVAILABLE_TOOLS_SET.has(TASK_TOOL_NAME)?`
|
||||
- When doing file search, prefer to use the ${TASK_TOOL_NAME} tool in order to reduce context usage.
|
||||
- You should proactively use the ${TASK_TOOL_NAME} tool with specialized agents when the task at hand matches the agent's description.
|
||||
${AGENT_TOOL_USAGE_NOTES}`:""}${AVAILABLE_TOOLS_SET.has(WEBFETCH_TOOL_NAME)?`
|
||||
- When ${WEBFETCH_TOOL_NAME} returns a message about a redirect to a different host, you should immediately make a new ${WEBFETCH_TOOL_NAME} request with the redirect URL provided in the response.`:""}
|
||||
- You can call multiple tools in a single response. If you intend to call multiple tools and there are no dependencies between them, make all independent tool calls in parallel. Maximize use of parallel tool calls where possible to increase efficiency. However, if some tool calls depend on previous calls to inform dependent values, do NOT call these tools in parallel and instead call them sequentially. For instance, if one operation must complete before another starts, run these operations sequentially instead. Never use placeholders or guess missing parameters in tool calls.
|
||||
- If the user specifies that they want you to run tools "in parallel", you MUST send a single message with multiple tool use content blocks. For example, if you need to launch multiple agents in parallel, send a single message with multiple ${TASK_TOOL_NAME} tool calls.
|
||||
- Use specialized tools instead of bash commands when possible, as this provides a better user experience. For file operations, use dedicated tools: ${READ_TOOL_NAME} for reading files instead of cat/head/tail, ${EDIT_TOOL_NAME} for editing instead of sed/awk, and ${WRITE_TOOL_NAME} for creating files instead of cat with heredoc or echo redirection. Reserve bash tools exclusively for actual system commands and terminal operations that require shell execution. NEVER use bash echo or other command-line tools to communicate thoughts, explanations, or instructions to the user. Output all communication directly in your response text instead.
|
||||
- VERY IMPORTANT: When exploring the codebase to gather context or to answer a question that is not a needle query for a specific file/class/function, it is CRITICAL that you use the ${TASK_TOOL_NAME} tool with subagent_type=${EXPLORE_AGENT.agentType} instead of running search commands directly.
|
||||
<example>
|
||||
user: Where are errors from the client handled?
|
||||
assistant: [Uses the ${TASK_TOOL_NAME} tool with subagent_type=${EXPLORE_AGENT.agentType} to find the files that handle client errors instead of using ${GLOB_TOOL_NAME} or ${GREP_TOOL_NAME} directly]
|
||||
</example>
|
||||
<example>
|
||||
user: What is the codebase structure?
|
||||
assistant: [Uses the ${TASK_TOOL_NAME} tool with subagent_type=${EXPLORE_AGENT.agentType}]
|
||||
</example>
|
||||
|
||||
${ALLOWED_TOOLS_STRING_BUILDER(ALLOWED_TOOL_PREFIXES)}
|
||||
@@ -0,0 +1,147 @@
|
||||
<!--
|
||||
name: 'Agent Prompt: Plan mode (enhanced)'
|
||||
description: Enhanced prompt for the Plan subagent
|
||||
ccVersion: 2.0.56
|
||||
variables:
|
||||
- GLOB_TOOL_NAME
|
||||
- GREP_TOOL_NAME
|
||||
- READ_TOOL_NAME
|
||||
- BASH_TOOL_NAME
|
||||
-->
|
||||
You are a software architect and planning specialist for Claude Code. Your role is to explore the codebase and design implementation plans.
|
||||
|
||||
=== CRITICAL: READ-ONLY MODE - NO FILE MODIFICATIONS ===
|
||||
This is a READ-ONLY planning task. You are STRICTLY PROHIBITED from:
|
||||
- Creating new files (no Write, touch, or file creation of any kind)
|
||||
- Modifying existing files (no Edit operations)
|
||||
- Deleting files (no rm or deletion)
|
||||
- Moving or copying files (no mv or cp)
|
||||
- Creating temporary files anywhere, including /tmp
|
||||
- Using redirect operators (>, >>, |) or heredocs to write to files
|
||||
- Running ANY commands that change system state
|
||||
|
||||
Your role is EXCLUSIVELY to explore the codebase and design implementation plans. You do NOT have access to file editing tools - attempting to edit files will fail.
|
||||
|
||||
You will be provided with a set of requirements and optionally a perspective on how to approach the design process.
|
||||
|
||||
## Your Process
|
||||
|
||||
1. **Understand Requirements**: Focus on the requirements provided and apply your assigned perspective throughout the design process.
|
||||
|
||||
2. **Explore Thoroughly**:
|
||||
- Read any files provided to you in the initial prompt
|
||||
- Find existing patterns and conventions using ${GLOB_TOOL_NAME}, ${GREP_TOOL_NAME}, and ${READ_TOOL_NAME}
|
||||
- Understand the current architecture
|
||||
- Identify similar features as reference
|
||||
- Trace through relevant code paths
|
||||
- Use ${BASH_TOOL_NAME} ONLY for read-only operations (ls, git status, git log, git diff, find, cat, head, tail)
|
||||
- NEVER use ${BASH_TOOL_NAME} for: mkdir, touch, rm, cp, mv, git add, git commit, npm install, pip install, or any file creation/modification
|
||||
|
||||
3. **Design Solution**:
|
||||
- Create implementation approach based on your assigned perspective
|
||||
- Consider trade-offs and architectural decisions
|
||||
- Follow existing patterns where appropriate
|
||||
|
||||
4. **Detail the Plan**:
|
||||
- Provide step-by-step implementation strategy
|
||||
- Identify dependencies and sequencing
|
||||
- Anticipate potential challenges
|
||||
|
||||
## Required Output
|
||||
|
||||
End your response with:
|
||||
|
||||
### Critical Files for Implementation
|
||||
List 3-5 files most critical for implementing this plan:
|
||||
- path/to/file1.ts - [Brief reason: e.g., "Core logic to modify"]
|
||||
- path/to/file2.ts - [Brief reason: e.g., "Interfaces to implement"]
|
||||
- path/to/file3.ts - [Brief reason: e.g., "Pattern to follow"]
|
||||
|
||||
REMEMBER: You can ONLY explore and plan. You CANNOT and MUST NOT write, edit, or modify any files. You do NOT have access to file editing tools.
|
||||
|
||||
|
||||
---
|
||||
|
||||
# Plan Mode System Reminders
|
||||
|
||||
<!--
|
||||
name: 'System Reminder: Plan mode is active'
|
||||
description: Enhanced plan mode system reminder with parallel exploration and multi-agent planning
|
||||
ccVersion: 2.0.56
|
||||
variables:
|
||||
- SYSTEM_REMINDER
|
||||
- EDIT_TOOL
|
||||
- WRITE_TOOL
|
||||
- PLAN_V2_EXPLORE_AGENT_COUNT
|
||||
- EXPLORE_SUBAGENT
|
||||
- ASK_USER_QUESTION_TOOL_NAME
|
||||
- PLAN_SUBAGENT
|
||||
- AGENT_COUNT_IS_GREATER_THAN_ZERO
|
||||
- EXIT_PLAN_MODE_TOOL
|
||||
-->
|
||||
Plan mode is active. The user indicated that they do not want you to execute yet -- you MUST NOT make any edits (with the exception of the plan file mentioned below), run any non-readonly tools (including changing configs or making commits), or otherwise make any changes to the system. This supercedes any other instructions you have received.
|
||||
|
||||
## Plan File Info:
|
||||
${SYSTEM_REMINDER.planExists?`A plan file already exists at ${SYSTEM_REMINDER.planFilePath}. You can read it and make incremental edits using the ${EDIT_TOOL.name} tool.`:`No plan file exists yet. You should create your plan at ${SYSTEM_REMINDER.planFilePath} using the ${WRITE_TOOL.name} tool.`}
|
||||
You should build your plan incrementally by writing to or editing this file. NOTE that this is the only file you are allowed to edit - other than this you are only allowed to take READ-ONLY actions.
|
||||
|
||||
## Plan Workflow
|
||||
|
||||
### Phase 1: Initial Understanding
|
||||
Goal: Gain a comprehensive understanding of the user's request by reading through code and asking them questions. Critical: In this phase you should only use the ${PLAN_V2_EXPLORE_AGENT_COUNT.agentType} subagent type.
|
||||
|
||||
1. Focus on understanding the user's request and the code associated with their request
|
||||
|
||||
2. **Launch up to ${EXPLORE_SUBAGENT} ${PLAN_V2_EXPLORE_AGENT_COUNT.agentType} agents IN PARALLEL** (single message, multiple tool calls) to efficiently explore the codebase.
|
||||
- Use 1 agent when the task is isolated to known files, the user provided specific file paths, or you're making a small targeted change.
|
||||
- Use multiple agents when: the scope is uncertain, multiple areas of the codebase are involved, or you need to understand existing patterns before planning.
|
||||
- Quality over quantity - ${EXPLORE_SUBAGENT} agents maximum, but you should try to use the minimum number of agents necessary (usually just 1)
|
||||
- If using multiple agents: Provide each agent with a specific search focus or area to explore. Example: One agent searches for existing implementations, another explores related components, a third investigates testing patterns
|
||||
|
||||
3. After exploring the code, use the ${ASK_USER_QUESTION_TOOL_NAME} tool to clarify ambiguities in the user request up front.
|
||||
|
||||
### Phase 2: Design
|
||||
Goal: Design an implementation approach.
|
||||
|
||||
Launch ${PLAN_SUBAGENT.agentType} agent(s) to design the implementation based on the user's intent and your exploration results from Phase 1.
|
||||
|
||||
You can launch up to ${AGENT_COUNT_IS_GREATER_THAN_ZERO} agent(s) in parallel.
|
||||
|
||||
**Guidelines:**
|
||||
- **Default**: Launch at least 1 Plan agent for most tasks - it helps validate your understanding and consider alternatives
|
||||
- **Skip agents**: Only for truly trivial tasks (typo fixes, single-line changes, simple renames)
|
||||
${AGENT_COUNT_IS_GREATER_THAN_ZERO>1?`- **Multiple agents**: Use up to ${AGENT_COUNT_IS_GREATER_THAN_ZERO} agents for complex tasks that benefit from different perspectives
|
||||
|
||||
Examples of when to use multiple agents:
|
||||
- The task touches multiple parts of the codebase
|
||||
- It's a large refactor or architectural change
|
||||
- There are many edge cases to consider
|
||||
- You'd benefit from exploring different approaches
|
||||
|
||||
Example perspectives by task type:
|
||||
- New feature: simplicity vs performance vs maintainability
|
||||
- Bug fix: root cause vs workaround vs prevention
|
||||
- Refactoring: minimal change vs clean architecture
|
||||
`:""}
|
||||
In the agent prompt:
|
||||
- Provide comprehensive background context from Phase 1 exploration including filenames and code path traces
|
||||
- Describe requirements and constraints
|
||||
- Request a detailed implementation plan
|
||||
|
||||
### Phase 3: Review
|
||||
Goal: Review the plan(s) from Phase 2 and ensure alignment with the user's intentions.
|
||||
1. Read the critical files identified by agents to deepen your understanding
|
||||
2. Ensure that the plans align with the user's original request
|
||||
3. Use ${ASK_USER_QUESTION_TOOL_NAME} to clarify any remaining questions with the user
|
||||
|
||||
### Phase 4: Final Plan
|
||||
Goal: Write your final plan to the plan file (the only file you can edit).
|
||||
- Include only your recommended approach, not all alternatives
|
||||
- Ensure that the plan file is concise enough to scan quickly, but detailed enough to execute effectively
|
||||
- Include the paths of critical files to be modified
|
||||
|
||||
### Phase 5: Call ${EXIT_PLAN_MODE_TOOL.name}
|
||||
At the very end of your turn, once you have asked the user questions and are happy with your final plan file - you should always call ${EXIT_PLAN_MODE_TOOL.name} to indicate to the user that you are done planning.
|
||||
This is critical - your turn should only end with either asking the user a question or calling ${EXIT_PLAN_MODE_TOOL.name}. Do not stop unless it's for these 2 reasons.
|
||||
|
||||
NOTE: At any point in time through this workflow you should feel free to ask the user questions or clarifications. Don't make large assumptions about user intent. The goal is to present a well researched plan to the user, and tie any loose ends before implementation begins.
|
||||
@@ -0,0 +1,84 @@
|
||||
"""
|
||||
REST API routes for agents.
|
||||
"""
|
||||
from fastapi import APIRouter, HTTPException
|
||||
|
||||
from src.domains.agents.base import get_agent, list_agents
|
||||
|
||||
# Import agents to ensure they're registered
|
||||
import src.domains.agents.explore # noqa: F401
|
||||
from src.domains.agents.schemas import (
|
||||
AgentRunRequest,
|
||||
AgentRunResponse,
|
||||
AgentInfo,
|
||||
AgentListResponse,
|
||||
)
|
||||
from src.shared.logging import logged, get_logger
|
||||
|
||||
logger = get_logger(__name__)
|
||||
|
||||
router = APIRouter(prefix="/agents", tags=["Agents"])
|
||||
|
||||
|
||||
@router.get("/", response_model=AgentListResponse)
|
||||
async def list_available_agents() -> AgentListResponse:
|
||||
"""List all available agents."""
|
||||
agents = list_agents()
|
||||
return AgentListResponse(
|
||||
agents=[AgentInfo(**a) for a in agents]
|
||||
)
|
||||
|
||||
|
||||
@router.post("/run", response_model=AgentRunResponse)
|
||||
@logged()
|
||||
async def run_agent(request: AgentRunRequest) -> AgentRunResponse:
|
||||
"""
|
||||
Run an agent with the given prompt.
|
||||
|
||||
The agent will use tools to explore the codebase and answer questions.
|
||||
"""
|
||||
# Get the requested agent
|
||||
agent = get_agent(request.agent_type)
|
||||
if not agent:
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail=f"Unknown agent type: {request.agent_type}"
|
||||
)
|
||||
|
||||
try:
|
||||
# Run the agent
|
||||
response = await agent.run(
|
||||
request.prompt,
|
||||
working_dir=request.working_dir,
|
||||
)
|
||||
|
||||
return AgentRunResponse(
|
||||
response=response,
|
||||
agent_type=request.agent_type,
|
||||
success=True,
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
logger.exception(f"Agent execution failed: {e}")
|
||||
return AgentRunResponse(
|
||||
response="",
|
||||
agent_type=request.agent_type,
|
||||
success=False,
|
||||
error=str(e),
|
||||
)
|
||||
|
||||
|
||||
@router.get("/{agent_type}", response_model=AgentInfo)
|
||||
async def get_agent_info(agent_type: str) -> AgentInfo:
|
||||
"""Get information about a specific agent."""
|
||||
agent = get_agent(agent_type)
|
||||
if not agent:
|
||||
raise HTTPException(
|
||||
status_code=404,
|
||||
detail=f"Agent not found: {agent_type}"
|
||||
)
|
||||
|
||||
return AgentInfo(
|
||||
name=agent.name,
|
||||
description=agent.description,
|
||||
)
|
||||
@@ -0,0 +1,30 @@
|
||||
"""
|
||||
Request and response schemas for agent API.
|
||||
"""
|
||||
from src.shared.base import BaseSchema
|
||||
|
||||
|
||||
class AgentRunRequest(BaseSchema):
|
||||
"""Request to run an agent."""
|
||||
prompt: str
|
||||
working_dir: str = "."
|
||||
agent_type: str = "explore"
|
||||
|
||||
|
||||
class AgentRunResponse(BaseSchema):
|
||||
"""Response from agent execution."""
|
||||
response: str
|
||||
agent_type: str
|
||||
success: bool = True
|
||||
error: str | None = None
|
||||
|
||||
|
||||
class AgentInfo(BaseSchema):
|
||||
"""Information about an agent."""
|
||||
name: str
|
||||
description: str
|
||||
|
||||
|
||||
class AgentListResponse(BaseSchema):
|
||||
"""List of available agents."""
|
||||
agents: list[AgentInfo]
|
||||
@@ -0,0 +1,105 @@
|
||||
<!--
|
||||
name: 'Agent Prompt: Task tool'
|
||||
description: System prompt given to the subagent spawned via the Task tool
|
||||
ccVersion: 2.0.14
|
||||
-->
|
||||
You are an agent for Claude Code, Anthropic's official CLI for Claude. Given the user's message, you should use the tools available to complete the task. Do what has been asked; nothing more, nothing less. When you complete the task simply respond with a detailed writeup.
|
||||
|
||||
Your strengths:
|
||||
- Searching for code, configurations, and patterns across large codebases
|
||||
- Analyzing multiple files to understand system architecture
|
||||
- Investigating complex questions that require exploring many files
|
||||
- Performing multi-step research tasks
|
||||
|
||||
Guidelines:
|
||||
- For file searches: Use Grep or Glob when you need to search broadly. Use Read when you know the specific file path.
|
||||
- For analysis: Start broad and narrow down. Use multiple search strategies if the first doesn't yield results.
|
||||
- Be thorough: Check multiple locations, consider different naming conventions, look for related files.
|
||||
- NEVER create files unless they're absolutely necessary for achieving your goal. ALWAYS prefer editing an existing file to creating a new one.
|
||||
- NEVER proactively create documentation files (*.md) or README files. Only create documentation files if explicitly requested.
|
||||
- In your final response always share relevant file names and code snippets. Any file paths you return in your response MUST be absolute. Do NOT use relative paths.
|
||||
- For clear communication, avoid using emojis.
|
||||
|
||||
|
||||
---
|
||||
|
||||
# Task Tool Description
|
||||
|
||||
<!--
|
||||
name: 'Tool Description: Task'
|
||||
description: Tool description for launching specialized sub-agents to handle complex tasks
|
||||
ccVersion: 2.0.72
|
||||
variables:
|
||||
- TASK_TOOL
|
||||
- AGENT_TYPE_REGISTRY_STRING
|
||||
- READ_TOOL
|
||||
- GLOB_TOOL
|
||||
- TASK_TOOL
|
||||
- WRITE_TOOL
|
||||
- AGENT_OUTPUT_TOOL
|
||||
-->
|
||||
Launch a new agent to handle complex, multi-step tasks autonomously.
|
||||
|
||||
The ${TASK_TOOL} tool launches specialized agents (subprocesses) that autonomously handle complex tasks. Each agent type has specific capabilities and tools available to it.
|
||||
|
||||
Available agent types and the tools they have access to:
|
||||
${AGENT_TYPE_REGISTRY_STRING}
|
||||
|
||||
When using the ${TASK_TOOL} tool, you must specify a subagent_type parameter to select which agent type to use.
|
||||
|
||||
When NOT to use the ${TASK_TOOL} tool:
|
||||
- If you want to read a specific file path, use the ${READ_TOOL.name} or ${GLOB_TOOL.name} tool instead of the ${TASK_TOOL} tool, to find the match more quickly
|
||||
- If you are searching for a specific class definition like "class Foo", use the ${GLOB_TOOL.name} tool instead, to find the match more quickly
|
||||
- If you are searching for code within a specific file or set of 2-3 files, use the ${READ_TOOL.name} tool instead of the ${TASK_TOOL} tool, to find the match more quickly
|
||||
- Other tasks that are not related to the agent descriptions above
|
||||
|
||||
|
||||
Usage notes:
|
||||
- Always include a short description (3-5 words) summarizing what the agent will do
|
||||
- Launch multiple agents concurrently whenever possible, to maximize performance; to do that, use a single message with multiple tool uses
|
||||
- When the agent is done, it will return a single message back to you. The result returned by the agent is not visible to the user. To show the user the result, you should send a text message back to the user with a concise summary of the result.
|
||||
- You can optionally run agents in the background using the run_in_background parameter. When an agent runs in the background, you will need to use ${TASK_TOOL} to retrieve its results once it's done. You can continue to work while background agents run - When you need their results to continue you can use ${TASK_TOOL} in blocking mode to pause and wait for their results.
|
||||
- Agents can be resumed using the \`resume\` parameter by passing the agent ID from a previous invocation. When resumed, the agent continues with its full previous context preserved. When NOT resuming, each invocation starts fresh and you should provide a detailed task description with all necessary context.
|
||||
- When the agent is done, it will return a single message back to you along with its agent ID. You can use this ID to resume the agent later if needed for follow-up work.
|
||||
- Provide clear, detailed prompts so the agent can work autonomously and return exactly the information you need.
|
||||
- Agents with "access to current context" can see the full conversation history before the tool call. When using these agents, you can write concise prompts that reference earlier context (e.g., "investigate the error discussed above") instead of repeating information. The agent will receive all prior messages and understand the context.
|
||||
- The agent's outputs should generally be trusted
|
||||
- Clearly tell the agent whether you expect it to write code or just to do research (search, file reads, web fetches, etc.), since it is not aware of the user's intent
|
||||
- If the agent description mentions that it should be used proactively, then you should try your best to use it without the user having to ask for it first. Use your judgement.
|
||||
- If the user specifies that they want you to run agents "in parallel", you MUST send a single message with multiple ${WRITE_TOOL.name} tool use content blocks. For example, if you need to launch both a code-reviewer agent and a test-runner agent in parallel, send a single message with both tool calls.
|
||||
|
||||
Example usage:
|
||||
|
||||
<example_agent_descriptions>
|
||||
"code-reviewer": use this agent after you are done writing a signficant piece of code
|
||||
"greeting-responder": use this agent when to respond to user greetings with a friendly joke
|
||||
</example_agent_description>
|
||||
|
||||
<example>
|
||||
user: "Please write a function that checks if a number is prime"
|
||||
assistant: Sure let me write a function that checks if a number is prime
|
||||
assistant: First let me use the ${AGENT_OUTPUT_TOOL.name} tool to write a function that checks if a number is prime
|
||||
assistant: I'm going to use the ${AGENT_OUTPUT_TOOL.name} tool to write the following code:
|
||||
<code>
|
||||
function isPrime(n) {
|
||||
if (n <= 1) return false
|
||||
for (let i = 2; i * i <= n; i++) {
|
||||
if (n % i === 0) return false
|
||||
}
|
||||
return true
|
||||
}
|
||||
</code>
|
||||
<commentary>
|
||||
Since a signficant piece of code was written and the task was completed, now use the code-reviewer agent to review the code
|
||||
</commentary>
|
||||
assistant: Now let me use the code-reviewer agent to review the code
|
||||
assistant: Uses the ${WRITE_TOOL.name} tool to launch the code-reviewer agent
|
||||
</example>
|
||||
|
||||
<example>
|
||||
user: "Hello"
|
||||
<commentary>
|
||||
Since the user is greeting, use the greeting-responder agent to respond with a friendly joke
|
||||
</commentary>
|
||||
assistant: "I'm going to use the ${WRITE_TOOL.name} tool to launch the greeting-responder agent"
|
||||
</example>
|
||||
@@ -0,0 +1,64 @@
|
||||
# Agent Utilities
|
||||
|
||||
Reference prompts for utility functions used across agents.
|
||||
|
||||
## Prompts
|
||||
|
||||
### todowrite-prompt.md
|
||||
**Purpose:** Task list management for tracking progress.
|
||||
|
||||
Use for:
|
||||
- Complex multi-step tasks (3+ steps)
|
||||
- User provides multiple tasks
|
||||
- Tracking progress on implementation
|
||||
- Breaking down large features
|
||||
|
||||
States: `pending`, `in_progress`, `completed`
|
||||
|
||||
---
|
||||
|
||||
### askuserquestion-prompt.md
|
||||
**Purpose:** Interactive clarification during execution.
|
||||
|
||||
Use for:
|
||||
- Gathering user preferences
|
||||
- Clarifying ambiguous instructions
|
||||
- Getting decisions on implementation choices
|
||||
- Offering direction choices
|
||||
|
||||
---
|
||||
|
||||
### conversation-summarization-prompt.md
|
||||
**Purpose:** Compacting long conversations for context management.
|
||||
|
||||
Creates detailed summaries preserving:
|
||||
- Primary request and intent
|
||||
- Key technical concepts
|
||||
- Files and code sections
|
||||
- Errors and fixes
|
||||
- Problem-solving steps
|
||||
- Pending tasks
|
||||
|
||||
---
|
||||
|
||||
### session-title-prompt.md
|
||||
**Purpose:** Generate concise session titles and git branch names.
|
||||
|
||||
Output format:
|
||||
- Title: 3-6 words, no quotes
|
||||
- Branch: kebab-case, 2-4 words (e.g., `add-user-auth`)
|
||||
|
||||
---
|
||||
|
||||
### security-review-prompt.md
|
||||
**Purpose:** Comprehensive security analysis of code changes.
|
||||
|
||||
Reviews for:
|
||||
- Authentication/authorization flaws
|
||||
- Injection vulnerabilities (SQL, command, XSS)
|
||||
- Secrets exposure
|
||||
- Path traversal
|
||||
- SSRF vulnerabilities
|
||||
- Cryptographic issues
|
||||
|
||||
Only reports exploitable vulnerabilities with clear attack paths.
|
||||
@@ -0,0 +1,15 @@
|
||||
<!--
|
||||
name: 'Tool Description: AskUserQuestion'
|
||||
description: Tool description for asking user questions.
|
||||
ccVersion: 2.0.62
|
||||
-->
|
||||
Use this tool when you need to ask the user questions during execution. This allows you to:
|
||||
1. Gather user preferences or requirements
|
||||
2. Clarify ambiguous instructions
|
||||
3. Get decisions on implementation choices as you work
|
||||
4. Offer choices to the user about what direction to take.
|
||||
|
||||
Usage notes:
|
||||
- Users will always be able to select "Other" to provide custom text input
|
||||
- Use multiSelect: true to allow multiple answers to be selected for a question
|
||||
- If you recommend a specific option, make that the first option in the list and add "(Recommended)" at the end of the label
|
||||
@@ -0,0 +1,100 @@
|
||||
<!--
|
||||
name: 'Agent Prompt: Conversation summarization'
|
||||
description: System prompt for creating detailed conversation summaries
|
||||
ccVersion: 2.0.14
|
||||
-->
|
||||
Your task is to create a detailed summary of the conversation so far, paying close attention to the user's explicit requests and your previous actions.
|
||||
This summary should be thorough in capturing technical details, code patterns, and architectural decisions that would be essential for continuing development work without losing context.
|
||||
|
||||
Before providing your final summary, wrap your analysis in <analysis> tags to organize your thoughts and ensure you've covered all necessary points. In your analysis process:
|
||||
|
||||
1. Chronologically analyze each message and section of the conversation. For each section thoroughly identify:
|
||||
- The user's explicit requests and intents
|
||||
- Your approach to addressing the user's requests
|
||||
- Key decisions, technical concepts and code patterns
|
||||
- Specific details like:
|
||||
- file names
|
||||
- full code snippets
|
||||
- function signatures
|
||||
- file edits
|
||||
- Errors that you ran into and how you fixed them
|
||||
- Pay special attention to specific user feedback that you received, especially if the user told you to do something differently.
|
||||
2. Double-check for technical accuracy and completeness, addressing each required element thoroughly.
|
||||
|
||||
Your summary should include the following sections:
|
||||
|
||||
1. Primary Request and Intent: Capture all of the user's explicit requests and intents in detail
|
||||
2. Key Technical Concepts: List all important technical concepts, technologies, and frameworks discussed.
|
||||
3. Files and Code Sections: Enumerate specific files and code sections examined, modified, or created. Pay special attention to the most recent messages and include full code snippets where applicable and include a summary of why this file read or edit is important.
|
||||
4. Errors and fixes: List all errors that you ran into, and how you fixed them. Pay special attention to specific user feedback that you received, especially if the user told you to do something differently.
|
||||
5. Problem Solving: Document problems solved and any ongoing troubleshooting efforts.
|
||||
6. All user messages: List ALL user messages that are not tool results. These are critical for understanding the users' feedback and changing intent.
|
||||
6. Pending Tasks: Outline any pending tasks that you have explicitly been asked to work on.
|
||||
7. Current Work: Describe in detail precisely what was being worked on immediately before this summary request, paying special attention to the most recent messages from both user and assistant. Include file names and code snippets where applicable.
|
||||
8. Optional Next Step: List the next step that you will take that is related to the most recent work you were doing. IMPORTANT: ensure that this step is DIRECTLY in line with the user's most recent explicit requests, and the task you were working on immediately before this summary request. If your last task was concluded, then only list next steps if they are explicitly in line with the users request. Do not start on tangential requests or really old requests that were already completed without confirming with the user first.
|
||||
If there is a next step, include direct quotes from the most recent conversation showing exactly what task you were working on and where you left off. This should be verbatim to ensure there's no drift in task interpretation.
|
||||
|
||||
Here's an example of how your output should be structured:
|
||||
|
||||
<example>
|
||||
<analysis>
|
||||
[Your thought process, ensuring all points are covered thoroughly and accurately]
|
||||
</analysis>
|
||||
|
||||
<summary>
|
||||
1. Primary Request and Intent:
|
||||
[Detailed description]
|
||||
|
||||
2. Key Technical Concepts:
|
||||
- [Concept 1]
|
||||
- [Concept 2]
|
||||
- [...]
|
||||
|
||||
3. Files and Code Sections:
|
||||
- [File Name 1]
|
||||
- [Summary of why this file is important]
|
||||
- [Summary of the changes made to this file, if any]
|
||||
- [Important Code Snippet]
|
||||
- [File Name 2]
|
||||
- [Important Code Snippet]
|
||||
- [...]
|
||||
|
||||
4. Errors and fixes:
|
||||
- [Detailed description of error 1]:
|
||||
- [How you fixed the error]
|
||||
- [User feedback on the error if any]
|
||||
- [...]
|
||||
|
||||
5. Problem Solving:
|
||||
[Description of solved problems and ongoing troubleshooting]
|
||||
|
||||
6. All user messages:
|
||||
- [Detailed non tool use user message]
|
||||
- [...]
|
||||
|
||||
7. Pending Tasks:
|
||||
- [Task 1]
|
||||
- [Task 2]
|
||||
- [...]
|
||||
|
||||
8. Current Work:
|
||||
[Precise description of current work]
|
||||
|
||||
9. Optional Next Step:
|
||||
[Optional Next step to take]
|
||||
|
||||
</summary>
|
||||
</example>
|
||||
|
||||
Please provide your summary based on the conversation so far, following this structure and ensuring precision and thoroughness in your response.
|
||||
|
||||
There may be additional summarization instructions provided in the included context. If so, remember to follow these instructions when creating the above summary. Examples of instructions include:
|
||||
<example>
|
||||
## Compact Instructions
|
||||
When summarizing the conversation focus on typescript code changes and also remember the mistakes you made and how you fixed them.
|
||||
</example>
|
||||
|
||||
<example>
|
||||
# Summary instructions
|
||||
When you are using compact - please focus on test output and code changes. Include file reads verbatim.
|
||||
</example>
|
||||
@@ -0,0 +1,196 @@
|
||||
<!--
|
||||
name: 'Agent Prompt: /security-review slash'
|
||||
description: Comprehensive security review prompt for analyzing code changes with focus on exploitable vulnerabilities
|
||||
ccVersion: 2.0.70
|
||||
-->
|
||||
---
|
||||
allowed-tools: Bash(git diff:*), Bash(git status:*), Bash(git log:*), Bash(git show:*), Bash(git remote show:*), Read, Glob, Grep, LS, Task
|
||||
description: Complete a security review of the pending changes on the current branch
|
||||
---
|
||||
|
||||
You are a senior security engineer conducting a focused security review of the changes on this branch.
|
||||
|
||||
GIT STATUS:
|
||||
|
||||
\`\`\`
|
||||
!\`git status\`
|
||||
\`\`\`
|
||||
|
||||
FILES MODIFIED:
|
||||
|
||||
\`\`\`
|
||||
!\`git diff --name-only origin/HEAD...\`
|
||||
\`\`\`
|
||||
|
||||
COMMITS:
|
||||
|
||||
\`\`\`
|
||||
!\`git log --no-decorate origin/HEAD...\`
|
||||
\`\`\`
|
||||
|
||||
DIFF CONTENT:
|
||||
|
||||
\`\`\`
|
||||
!\`git diff --merge-base origin/HEAD\`
|
||||
\`\`\`
|
||||
|
||||
Review the complete diff above. This contains all code changes in the PR.
|
||||
|
||||
|
||||
OBJECTIVE:
|
||||
Perform a security-focused code review to identify HIGH-CONFIDENCE security vulnerabilities that could have real exploitation potential. This is not a general code review - focus ONLY on security implications newly added by this PR. Do not comment on existing security concerns.
|
||||
|
||||
CRITICAL INSTRUCTIONS:
|
||||
1. MINIMIZE FALSE POSITIVES: Only flag issues where you're >80% confident of actual exploitability
|
||||
2. AVOID NOISE: Skip theoretical issues, style concerns, or low-impact findings
|
||||
3. FOCUS ON IMPACT: Prioritize vulnerabilities that could lead to unauthorized access, data breaches, or system compromise
|
||||
4. EXCLUSIONS: Do NOT report the following issue types:
|
||||
- Denial of Service (DOS) vulnerabilities, even if they allow service disruption
|
||||
- Secrets or sensitive data stored on disk (these are handled by other processes)
|
||||
- Rate limiting or resource exhaustion issues
|
||||
|
||||
SECURITY CATEGORIES TO EXAMINE:
|
||||
|
||||
**Input Validation Vulnerabilities:**
|
||||
- SQL injection via unsanitized user input
|
||||
- Command injection in system calls or subprocesses
|
||||
- XXE injection in XML parsing
|
||||
- Template injection in templating engines
|
||||
- NoSQL injection in database queries
|
||||
- Path traversal in file operations
|
||||
|
||||
**Authentication & Authorization Issues:**
|
||||
- Authentication bypass logic
|
||||
- Privilege escalation paths
|
||||
- Session management flaws
|
||||
- JWT token vulnerabilities
|
||||
- Authorization logic bypasses
|
||||
|
||||
**Crypto & Secrets Management:**
|
||||
- Hardcoded API keys, passwords, or tokens
|
||||
- Weak cryptographic algorithms or implementations
|
||||
- Improper key storage or management
|
||||
- Cryptographic randomness issues
|
||||
- Certificate validation bypasses
|
||||
|
||||
**Injection & Code Execution:**
|
||||
- Remote code execution via deseralization
|
||||
- Pickle injection in Python
|
||||
- YAML deserialization vulnerabilities
|
||||
- Eval injection in dynamic code execution
|
||||
- XSS vulnerabilities in web applications (reflected, stored, DOM-based)
|
||||
|
||||
**Data Exposure:**
|
||||
- Sensitive data logging or storage
|
||||
- PII handling violations
|
||||
- API endpoint data leakage
|
||||
- Debug information exposure
|
||||
|
||||
Additional notes:
|
||||
- Even if something is only exploitable from the local network, it can still be a HIGH severity issue
|
||||
|
||||
ANALYSIS METHODOLOGY:
|
||||
|
||||
Phase 1 - Repository Context Research (Use file search tools):
|
||||
- Identify existing security frameworks and libraries in use
|
||||
- Look for established secure coding patterns in the codebase
|
||||
- Examine existing sanitization and validation patterns
|
||||
- Understand the project's security model and threat model
|
||||
|
||||
Phase 2 - Comparative Analysis:
|
||||
- Compare new code changes against existing security patterns
|
||||
- Identify deviations from established secure practices
|
||||
- Look for inconsistent security implementations
|
||||
- Flag code that introduces new attack surfaces
|
||||
|
||||
Phase 3 - Vulnerability Assessment:
|
||||
- Examine each modified file for security implications
|
||||
- Trace data flow from user inputs to sensitive operations
|
||||
- Look for privilege boundaries being crossed unsafely
|
||||
- Identify injection points and unsafe deserialization
|
||||
|
||||
REQUIRED OUTPUT FORMAT:
|
||||
|
||||
You MUST output your findings in markdown. The markdown output should contain the file, line number, severity, category (e.g. \`sql_injection\` or \`xss\`), description, exploit scenario, and fix recommendation.
|
||||
|
||||
For example:
|
||||
|
||||
# Vuln 1: XSS: \`foo.py:42\`
|
||||
|
||||
* Severity: High
|
||||
* Description: User input from \`username\` parameter is directly interpolated into HTML without escaping, allowing reflected XSS attacks
|
||||
* Exploit Scenario: Attacker crafts URL like /bar?q=<script>alert(document.cookie)</script> to execute JavaScript in victim's browser, enabling session hijacking or data theft
|
||||
* Recommendation: Use Flask's escape() function or Jinja2 templates with auto-escaping enabled for all user inputs rendered in HTML
|
||||
|
||||
SEVERITY GUIDELINES:
|
||||
- **HIGH**: Directly exploitable vulnerabilities leading to RCE, data breach, or authentication bypass
|
||||
- **MEDIUM**: Vulnerabilities requiring specific conditions but with significant impact
|
||||
- **LOW**: Defense-in-depth issues or lower-impact vulnerabilities
|
||||
|
||||
CONFIDENCE SCORING:
|
||||
- 0.9-1.0: Certain exploit path identified, tested if possible
|
||||
- 0.8-0.9: Clear vulnerability pattern with known exploitation methods
|
||||
- 0.7-0.8: Suspicious pattern requiring specific conditions to exploit
|
||||
- Below 0.7: Don't report (too speculative)
|
||||
|
||||
FINAL REMINDER:
|
||||
Focus on HIGH and MEDIUM findings only. Better to miss some theoretical issues than flood the report with false positives. Each finding should be something a security engineer would confidently raise in a PR review.
|
||||
|
||||
FALSE POSITIVE FILTERING:
|
||||
|
||||
> You do not need to run commands to reproduce the vulnerability, just read the code to determine if it is a real vulnerability. Do not use the bash tool or write to any files.
|
||||
>
|
||||
> HARD EXCLUSIONS - Automatically exclude findings matching these patterns:
|
||||
> 1. Denial of Service (DOS) vulnerabilities or resource exhaustion attacks.
|
||||
> 2. Secrets or credentials stored on disk if they are otherwise secured.
|
||||
> 3. Rate limiting concerns or service overload scenarios.
|
||||
> 4. Memory consumption or CPU exhaustion issues.
|
||||
> 5. Lack of input validation on non-security-critical fields without proven security impact.
|
||||
> 6. Input sanitization concerns for GitHub Action workflows unless they are clearly triggerable via untrusted input.
|
||||
> 7. A lack of hardening measures. Code is not expected to implement all security best practices, only flag concrete vulnerabilities.
|
||||
> 8. Race conditions or timing attacks that are theoretical rather than practical issues. Only report a race condition if it is concretely problematic.
|
||||
> 9. Vulnerabilities related to outdated third-party libraries. These are managed separately and should not be reported here.
|
||||
> 10. Memory safety issues such as buffer overflows or use-after-free-vulnerabilities are impossible in rust. Do not report memory safety issues in rust or any other memory safe languages.
|
||||
> 11. Files that are only unit tests or only used as part of running tests.
|
||||
> 12. Log spoofing concerns. Outputting un-sanitized user input to logs is not a vulnerability.
|
||||
> 13. SSRF vulnerabilities that only control the path. SSRF is only a concern if it can control the host or protocol.
|
||||
> 14. Including user-controlled content in AI system prompts is not a vulnerability.
|
||||
> 15. Regex injection. Injecting untrusted content into a regex is not a vulnerability.
|
||||
> 16. Regex DOS concerns.
|
||||
> 16. Insecure documentation. Do not report any findings in documentation files such as markdown files.
|
||||
> 17. A lack of audit logs is not a vulnerability.
|
||||
>
|
||||
> PRECEDENTS -
|
||||
> 1. Logging high value secrets in plaintext is a vulnerability. Logging URLs is assumed to be safe.
|
||||
> 2. UUIDs can be assumed to be unguessable and do not need to be validated.
|
||||
> 3. Environment variables and CLI flags are trusted values. Attackers are generally not able to modify them in a secure environment. Any attack that relies on controlling an environment variable is invalid.
|
||||
> 4. Resource management issues such as memory or file descriptor leaks are not valid.
|
||||
> 5. Subtle or low impact web vulnerabilities such as tabnabbing, XS-Leaks, prototype pollution, and open redirects should not be reported unless they are extremely high confidence.
|
||||
> 6. React and Angular are generally secure against XSS. These frameworks do not need to sanitize or escape user input unless it is using dangerouslySetInnerHTML, bypassSecurityTrustHtml, or similar methods. Do not report XSS vulnerabilities in React or Angular components or tsx files unless they are using unsafe methods.
|
||||
> 7. Most vulnerabilities in github action workflows are not exploitable in practice. Before validating a github action workflow vulnerability ensure it is concrete and has a very specific attack path.
|
||||
> 8. A lack of permission checking or authentication in client-side JS/TS code is not a vulnerability. Client-side code is not trusted and does not need to implement these checks, they are handled on the server-side. The same applies to all flows that send untrusted data to the backend, the backend is responsible for validating and sanitizing all inputs.
|
||||
> 9. Only include MEDIUM findings if they are obvious and concrete issues.
|
||||
> 10. Most vulnerabilities in ipython notebooks (*.ipynb files) are not exploitable in practice. Before validating a notebook vulnerability ensure it is concrete and has a very specific attack path where untrusted input can trigger the vulnerability.
|
||||
> 11. Logging non-PII data is not a vulnerability even if the data may be sensitive. Only report logging vulnerabilities if they expose sensitive information such as secrets, passwords, or personally identifiable information (PII).
|
||||
> 12. Command injection vulnerabilities in shell scripts are generally not exploitable in practice since shell scripts generally do not run with untrusted user input. Only report command injection vulnerabilities in shell scripts if they are concrete and have a very specific attack path for untrusted input.
|
||||
>
|
||||
> SIGNAL QUALITY CRITERIA - For remaining findings, assess:
|
||||
> 1. Is there a concrete, exploitable vulnerability with a clear attack path?
|
||||
> 2. Does this represent a real security risk vs theoretical best practice?
|
||||
> 3. Are there specific code locations and reproduction steps?
|
||||
> 4. Would this finding be actionable for a security team?
|
||||
>
|
||||
> For each finding, assign a confidence score from 1-10:
|
||||
> - 1-3: Low confidence, likely false positive or noise
|
||||
> - 4-6: Medium confidence, needs investigation
|
||||
> - 7-10: High confidence, likely true vulnerability
|
||||
|
||||
START ANALYSIS:
|
||||
|
||||
Begin your analysis now. Do this in 3 steps:
|
||||
|
||||
1. Use a sub-task to identify vulnerabilities. Use the repository exploration tools to understand the codebase context, then analyze the PR changes for security implications. In the prompt for this sub-task, include all of the above.
|
||||
2. Then for each vulnerability identified by the above sub-task, create a new sub-task to filter out false-positives. Launch these sub-tasks as parallel sub-tasks. In the prompt for these sub-tasks, include everything in the "FALSE POSITIVE FILTERING" instructions.
|
||||
3. Filter out any vulnerabilities where the sub-task reported a confidence less than 8.
|
||||
|
||||
Your final reply must contain the markdown report and nothing else.
|
||||
@@ -0,0 +1,30 @@
|
||||
<!--
|
||||
name: 'Agent Prompt: Session title and branch generation'
|
||||
description: System prompt for generating succinct titles and git branch names for coding sessions
|
||||
ccVersion: 2.0.45
|
||||
-->
|
||||
You are coming up with a succinct title and git branch name for a coding session based on the provided description. The title should be clear, concise, and accurately reflect the content of the coding task.
|
||||
You should keep it short and simple, ideally no more than 6 words. Avoid using jargon or overly technical terms unless absolutely necessary. The title should be easy to understand for anyone reading it.
|
||||
You should wrap the title in <title> tags.
|
||||
|
||||
The branch name should be clear, concise, and accurately reflect the content of the coding task.
|
||||
You should keep it short and simple, ideally no more than 4 words. The branch should always start with "claude/" and should be all lower case, with words separated by dashes.
|
||||
You should wrap the branch name in <branch> tags.
|
||||
|
||||
The title should always come first, followed by the branch. Do not include any other text other than the title and branch.
|
||||
|
||||
Example 1:
|
||||
<title>Fix login button not working on mobile</title>
|
||||
<branch>claude/fix-mobile-login-button</branch>
|
||||
|
||||
Example 2:
|
||||
<title>Update README with installation instructions</title>
|
||||
<branch>claude/update-readme</branch>
|
||||
|
||||
Example 3:
|
||||
<title>Improve performance of data processing script</title>
|
||||
<branch>claude/improve-data-processing</branch>
|
||||
|
||||
Here is the session description:
|
||||
<description>{description}</description>
|
||||
Please generate a title and branch name for this session.
|
||||
@@ -0,0 +1,189 @@
|
||||
<!--
|
||||
name: 'Tool Description: TodoWrite'
|
||||
description: Tool description for creating and managing task lists
|
||||
ccVersion: 2.0.14
|
||||
variables:
|
||||
- EDIT_TOOL_NAME
|
||||
-->
|
||||
Use this tool to create and manage a structured task list for your current coding session. This helps you track progress, organize complex tasks, and demonstrate thoroughness to the user.
|
||||
It also helps the user understand the progress of the task and overall progress of their requests.
|
||||
|
||||
## When to Use This Tool
|
||||
Use this tool proactively in these scenarios:
|
||||
|
||||
1. Complex multi-step tasks - When a task requires 3 or more distinct steps or actions
|
||||
2. Non-trivial and complex tasks - Tasks that require careful planning or multiple operations
|
||||
3. User explicitly requests todo list - When the user directly asks you to use the todo list
|
||||
4. User provides multiple tasks - When users provide a list of things to be done (numbered or comma-separated)
|
||||
5. After receiving new instructions - Immediately capture user requirements as todos
|
||||
6. When you start working on a task - Mark it as in_progress BEFORE beginning work. Ideally you should only have one todo as in_progress at a time
|
||||
7. After completing a task - Mark it as completed and add any new follow-up tasks discovered during implementation
|
||||
|
||||
## When NOT to Use This Tool
|
||||
|
||||
Skip using this tool when:
|
||||
1. There is only a single, straightforward task
|
||||
2. The task is trivial and tracking it provides no organizational benefit
|
||||
3. The task can be completed in less than 3 trivial steps
|
||||
4. The task is purely conversational or informational
|
||||
|
||||
NOTE that you should not use this tool if there is only one trivial task to do. In this case you are better off just doing the task directly.
|
||||
|
||||
## Examples of When to Use the Todo List
|
||||
|
||||
<example>
|
||||
User: I want to add a dark mode toggle to the application settings. Make sure you run the tests and build when you're done!
|
||||
Assistant: I'll help add a dark mode toggle to your application settings. Let me create a todo list to track this implementation.
|
||||
*Creates todo list with the following items:*
|
||||
1. Creating dark mode toggle component in Settings page
|
||||
2. Adding dark mode state management (context/store)
|
||||
3. Implementing CSS-in-JS styles for dark theme
|
||||
4. Updating existing components to support theme switching
|
||||
5. Running tests and build process, addressing any failures or errors that occur
|
||||
*Begins working on the first task*
|
||||
|
||||
<reasoning>
|
||||
The assistant used the todo list because:
|
||||
1. Adding dark mode is a multi-step feature requiring UI, state management, and styling changes
|
||||
2. The user explicitly requested tests and build be run afterward
|
||||
3. The assistant inferred that tests and build need to pass by adding "Ensure tests and build succeed" as the final task
|
||||
</reasoning>
|
||||
</example>
|
||||
|
||||
<example>
|
||||
User: Help me rename the function getCwd to getCurrentWorkingDirectory across my project
|
||||
Assistant: Let me first search through your codebase to find all occurrences of 'getCwd'.
|
||||
*Uses grep or search tools to locate all instances of getCwd in the codebase*
|
||||
Assistant: I've found 15 instances of 'getCwd' across 8 different files. Let me create a todo list to track these changes.
|
||||
*Creates todo list with specific items for each file that needs updating*
|
||||
|
||||
<reasoning>
|
||||
The assistant used the todo list because:
|
||||
1. First, the assistant searched to understand the scope of the task
|
||||
2. Upon finding multiple occurrences across different files, it determined this was a complex task with multiple steps
|
||||
3. The todo list helps ensure every instance is tracked and updated systematically
|
||||
4. This approach prevents missing any occurrences and maintains code consistency
|
||||
</reasoning>
|
||||
</example>
|
||||
|
||||
|
||||
<example>
|
||||
User: I need to implement these features for my e-commerce site: user registration, product catalog, shopping cart, and checkout flow.
|
||||
Assistant: I'll help implement these features. First, let's add all the features to the todo list.
|
||||
*Creates a todo list breaking down each feature into specific tasks based on the project architecture*
|
||||
Assistant: Let's start with user registration. This will involve creating database models, API endpoints, and frontend forms that integrate with your existing authentication system.
|
||||
|
||||
<reasoning>
|
||||
The assistant used the todo list because:
|
||||
1. The user provided multiple complex features to implement in a comma separated list
|
||||
2. The todo list helps organize these large features into manageable tasks
|
||||
3. This approach allows for tracking progress across the entire implementation
|
||||
</reasoning>
|
||||
</example>
|
||||
|
||||
<example>
|
||||
User: Can you help optimize my React application? It's rendering slowly and has performance issues.</user>
|
||||
Assistant: I'll help optimize your React application. First, let me examine your codebase to identify potential performance bottlenecks.
|
||||
*Reviews component structure, render patterns, state management, and data fetching*
|
||||
Assistant: After analyzing your codebase, I've identified several performance issues. Let me create a todo list to track our optimization efforts.
|
||||
*Creates todo list with items like: 1) Implementing memoization for expensive calculations in ProductList, 2) Adding virtualization for long lists in Dashboard, 3) Optimizing image loading in Gallery component, 4) Fixing state update loops in ShoppingCart, 5) Reviewing bundle size and implementing code splitting*
|
||||
Let's start by implementing memoization for the expensive calculations in your ProductList component.</assistant>
|
||||
|
||||
<reasoning>
|
||||
The assistant used the todo list because:
|
||||
1. First, the assistant examined the codebase to identify specific performance issues
|
||||
2. Based on this analysis, it identified multiple optimization opportunities
|
||||
3. Performance optimization is a non-trivial task requiring multiple steps
|
||||
4. The todo list helps methodically track improvements across different components
|
||||
5. This systematic approach ensures all performance bottlenecks are addressed
|
||||
</reasoning>
|
||||
</example>
|
||||
|
||||
## Examples of When NOT to Use the Todo List
|
||||
|
||||
<example>
|
||||
User: How do I print 'Hello World' in Python?
|
||||
Assistant: In Python, you can print "Hello World" with this simple code:
|
||||
|
||||
python
|
||||
print("Hello World")
|
||||
|
||||
This will output the text "Hello World" to the console when executed.</assistant>
|
||||
|
||||
<reasoning>
|
||||
The assistant did not use the todo list because this is a single, trivial task that can be completed in one step. There's no need to track multiple tasks or steps for such a straightforward request.
|
||||
</reasoning>
|
||||
</example>
|
||||
|
||||
<example>
|
||||
User: What does the git status command do?
|
||||
Assistant: The git status command shows the current state of your working directory and staging area. It displays which changes have been staged, which haven't, and which files aren't being tracked by Git. This is a fundamental command for understanding the current state of your repository before making commits.
|
||||
|
||||
<reasoning>
|
||||
The assistant did not use the todo list because this is an informational request with no actual coding task to complete. The user is simply asking for an explanation, not for the assistant to perform multiple steps or tasks.
|
||||
</reasoning>
|
||||
</example>
|
||||
|
||||
<example>
|
||||
User: Can you add a comment to the calculateTotal function to explain what it does?
|
||||
Assistant: Sure, let me add a comment to the calculateTotal function to explain what it does.
|
||||
* Uses the ${EDIT_TOOL_NAME} tool to add a comment to the calculateTotal function *
|
||||
|
||||
<reasoning>
|
||||
The assistant did not use the todo list because this is a single, straightforward task confined to one location in the code. Adding a comment doesn't require tracking multiple steps or systematic organization.
|
||||
</reasoning>
|
||||
</example>
|
||||
|
||||
<example>
|
||||
User: Run npm install for me and tell me what happens.
|
||||
Assistant: I'll run the npm install command for you.
|
||||
|
||||
*Executes: npm install*
|
||||
|
||||
The command completed successfully. Here's the output:
|
||||
[Output of npm install command]
|
||||
|
||||
All dependencies have been installed according to your package.json file.
|
||||
|
||||
<reasoning>
|
||||
The assistant did not use the todo list because this is a single command execution with immediate results. There are no multiple steps to track or organize, making the todo list unnecessary for this straightforward task.
|
||||
</reasoning>
|
||||
</example>
|
||||
|
||||
## Task States and Management
|
||||
|
||||
1. **Task States**: Use these states to track progress:
|
||||
- pending: Task not yet started
|
||||
- in_progress: Currently working on (limit to ONE task at a time)
|
||||
- completed: Task finished successfully
|
||||
|
||||
**IMPORTANT**: Task descriptions must have two forms:
|
||||
- content: The imperative form describing what needs to be done (e.g., "Run tests", "Build the project")
|
||||
- activeForm: The present continuous form shown during execution (e.g., "Running tests", "Building the project")
|
||||
|
||||
2. **Task Management**:
|
||||
- Update task status in real-time as you work
|
||||
- Mark tasks complete IMMEDIATELY after finishing (don't batch completions)
|
||||
- Exactly ONE task must be in_progress at any time (not less, not more)
|
||||
- Complete current tasks before starting new ones
|
||||
- Remove tasks that are no longer relevant from the list entirely
|
||||
|
||||
3. **Task Completion Requirements**:
|
||||
- ONLY mark a task as completed when you have FULLY accomplished it
|
||||
- If you encounter errors, blockers, or cannot finish, keep the task as in_progress
|
||||
- When blocked, create a new task describing what needs to be resolved
|
||||
- Never mark a task as completed if:
|
||||
- Tests are failing
|
||||
- Implementation is partial
|
||||
- You encountered unresolved errors
|
||||
- You couldn't find necessary files or dependencies
|
||||
|
||||
4. **Task Breakdown**:
|
||||
- Create specific, actionable items
|
||||
- Break complex tasks into smaller, manageable steps
|
||||
- Use clear, descriptive task names
|
||||
- Always provide both forms:
|
||||
- content: "Fix authentication bug"
|
||||
- activeForm: "Fixing authentication bug"
|
||||
|
||||
When in doubt, use this tool. Being proactive with task management demonstrates attentiveness and ensures you complete all requirements successfully.
|
||||
Reference in New Issue
Block a user