"Is this path inside that root" is asked in twenty places in this tree and
answered twenty times by a locally written realpath/commonpath pair. Nine test
files exist because nine call sites each needed their own proof. Each one is
defensible alone; together they are the defect, because the boundary has no
single definition and a site that gets a detail wrong is wrong by itself.
src/path_confinement.py is that definition, and it settles the details the
copies disagreed on. Both sides get canonicalized: comparing a realpath-ed
candidate against a root that was only abspath-ed is the macOS /tmp ->
/private/tmp mismatch that has already produced a false failure here, and
canonicalizing one side is worse than canonicalizing neither. commonpath rather
than startswith, because /a/bc begins with /a/b and is not inside it. A relative
candidate joins the root rather than os.getcwd(), which is whatever directory
the server happens to be running in. NUL and newline are refused with a reason
instead of caught by a bare `except Exception` and reported as an ordinary
escape. Eighteen call sites go through it now. It deliberately does not decide
whether a path is sensitive -- that deny list answers "allowed" rather than
"inside", and it stays with src/tool_execution, which owns it. The one
commonpath left in the tree, in src/workspace_paths.py, stays: that function
translates a host path into a container path, so canonicalizing either side
would change the relative path it computes and break the mapping. It is not a
confinement check.
Two of those sites were weaker than the rest and are fixed rather than moved.
The email attachment check used abspath, which folds `..` but does not resolve
symlinks, so a symlink written into the extraction directory passed it and was
then read through. The skill-reference guard compared a realpath-ed target
against a raw dirname, so on a host where the skills tree is reached through a
symlink the two sides never matched and the guard could not fire.
The execution boundary had two separate holes.
The workspace namespace bound /home and /mnt read-write. On the one platform
where that namespace engages at all, a command inside it reaches outside the
workspace and writes to the user's home directory -- measured by running this
argv on a Linux host with working bubblewrap, not inferred from the source.
Binding the user's whole home directory into a workspace-confinement namespace
gives back most of what the namespace was for. Both are read-only now. The
workspace is also bound writable at its real host path, not only at /workspace:
BashTool's own /tmp redirect rewrites `/tmp/` to `<agent_cwd()>/.tmp/` before
the namespace is built, so the command bwrap receives already names the real
path, and those writes previously landed only because the workspace happened to
sit under the writable /home.
`namespaced or _replace_workspace_alias(...)` chose between a mount namespace
and a regex with nothing in the result saying which one ran. The fallback
rewrites the literal token /workspace in the command string, so a command that
never mentions /workspace is untouched by it and runs on the host unrestricted
-- which is every agent shell command on macOS. Both tools now ask
containment.probe() instead of each deciding for itself, and every bash and
python result carries a containment block naming the mechanism and stating
whether the filesystem dimension actually held. Under enforcing mode the
command is not run and the result says so.
That block reports the filesystem dimension only, and says so in a
reported_dimensions field. The probe knows this host could also give a process
group and a real wall clock, but these two tools still assemble their own
create_subprocess_* call and pass neither, so listing those dimensions would be
exactly the false claim src/containment.py calls worse than an honest absence.
probe() is new on src/containment.py: the same mechanism table and the same
arithmetic as acquire(), stopping before the side effects. acquire() is the
wrong shape for a decision -- it writes a durable grant record, and a record
whose pid is never filled in and whose release() never runs is an entry a
restart reaper keeps finding.
CONTAINMENT_MODE stays report_only. Flipping it refuses every agent shell
command on macOS and on any Linux host without bubblewrap, which is a product
decision rather than a code one.
Smaller things in the same area: the /tmp redirect's makedirs was unguarded, so
a read-only workspace turned a command that merely mentioned `/tmp/` into an
OSError traceback instead of a tool error; it degrades now. WORKSPACE_MOUNT
moved to src/constants.py so the namespace and the path resolvers read one
definition of the contract rather than two. The ".tmp" dirname got a constant,
since it appeared in both tool paths.
One generated artifact moved with it: website/configuration-reference.md pins
the source line where each ODYSSEUS_* variable is read, and three of those
shifted. Regenerated with scripts/generate_env_reference.py; the diff is line
numbers only.
Three existing tests changed. test_workspace_artifact_tool_floor asserted that
an unsafe interpreter prefix produces no `--ro-bind <prefix> <prefix>`, which
now fires on /home because /home is legitimately a read-only base mount.
Asserting the absence of a literal flag string cannot distinguish "the prefix
was rejected" from "the argv mounted that root itself", so it compares the argv
against the no-prefix baseline instead: an unsafe prefix must add nothing.
The Windows bash test asserted dict equality on the
whole result, which makes adding a field to every bash result impossible without
touching a test about tmux; it asserts the shape now. The personal-dir symlink
test grepped the resolver's source for the literal "os.path.realpath", which is
gone because the resolution moved into the shared boundary -- it keeps the
negative assertion that the closure must not grow its own abspath check again,
and the behavioural half now runs against the boundary, where it covers every
call site instead of one closure.
Not verified: the bubblewrap argv is asserted, not executed. There is no bwrap
on macOS, and in Docker it needs --privileged to work at all -- default and
seccomp=unconfined both fail with "Creating new namespace failed", and
--cap-add=SYS_ADMIN fails at pivot_root. The Python tool's
needs_virtual_namespace gate means ordinary Python code gets no namespace even
on a Linux host that could provide one; that is reported now but deliberately
not changed, because it alters the Linux Python path on every call and cannot be
checked from here.
* Agent: make skill-prescribed tools actually callable
The skill index and matched-skill procedures are injected into the
prompt, but tool selection never followed: manage_skills wasn't in the
RAG-selected schema list (so the model substituted manage_memory), and
a matched skill could prescribe tools (grep, read_file) the model had
no schema for. Now:
- manage_skills rides along whenever the owner has any skills indexed
- a Jaccard-matched skill's requires_toolsets join the selection
- viewing a skill mid-turn via manage_skills unlocks its
requires_toolsets for subsequent rounds
- admin-intent turns send _ADMIN_TOOLS schemas, matching the prompt
text _build_base_prompt already advertises
- index_for(active_toolsets=None) no longer hides requires_toolsets
skills from callers that don't know the active set
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* Agent: validate skill requires_toolsets against known tools, not TOOL_SECTIONS
grep/glob/ls ship as function schemas without a prompt-prose section,
so gating on TOOL_SECTIONS silently dropped them from a skill's
requires_toolsets.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
---------
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
* feat(skills): import SKILL.md bundles from public GitHub URLs
Supports GitHub tree/blob/raw links and skills.sh pages that resolve to GitHub.
Installs SKILL.md plus sibling text assets under data/skills/imported/.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(skills): admin-gate URL import and validate redirect hosts
- require_admin on POST /api/skills/import-from-url (matches other skill admin routes)
- reject cross-host redirects after httpx follow_redirects
- test for redirect host validation
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(skills): match Brain Add panel import/submit button styles
- Skill URL Import: theme-io-btn + download icon (same as memory Import)
- Add Skill submit: confirm-btn confirm-btn-primary
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(skills): allow api.github.com during directory import
Real imports hit the GitHub contents API after redirects; whitelist
api.github.com and add regression tests. Shrink Import button with flex:none.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(skills): align skill Import button with URL input row
Match memory-add-input height (28px) in memory-add-row and center the
download icon with flexbox instead of vertical-align hacks.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(skills): cancel modal-body margin on skill Import button
The skill Import button sits in .memory-add-row beside an input; the
global .modal-body button { margin-top: 6px } rule only affected buttons,
pushing Import down and misaligning the download icon. Reset margin-top
and match Memory Import SVG markup at 28px row height.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(skills): surface GitHub API errors on URL import
Pass through GitHub response messages (especially 403 rate limits) as
SkillImportError instead of a generic download failure.
Co-authored-by: Cursor <cursoragent@cursor.com>
---------
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix: match skill tags as whole tokens, not substrings, in retrieval
* test: skill tag matching uses whole tokens, not substrings
* test: give skill fixtures status=published so they reach the scoring path
read_skill_md and read_skill_reference walk all skill files via
_iter_skill_files and return the first match by slug, regardless
of owner. In a multi-user deployment where two users have skills
with the same slug under different categories, a caller scoped
to owner='alice' can read Bob's skill content.
This is the same cross-tenant leak class as the update_skill /
delete_skill fix (PR #755, merged), but on the read path.
Changes:
- read_skill_md / read_skill_reference accept owner= param (default
None = match ownerless only, matching the write-path convention).
- 7 callers updated: tool_implementations.py (view, view_ref, patch),
builtin_actions.py (test_skills), skills_routes.py (audit, source,
test routes).
- Tests: read scoping (alice reads hers, not bob's), positive update
scoping (alice can mutate her own), ownerless-match default.
SkillsManager.update_skill walks every SKILL.md on disk and matches by
slug only; the 'owner' key in its scalar_keys whitelist meant a caller
could pass updates={'owner': 'attacker', 'description': 'pwned'} and the
first matching file on disk got silently re-owned. Two users with the
same slug under different category directories (which is supported by
the on-disk layout <category>/<name>/SKILL.md) could each stomp the
other's skill via the manage_skills tool or the in-process callers in
tool_implementations.py (edit, patch, publish, delete).
update_skill and delete_skill now require the caller's owner and only
match a file whose parsed owner field matches. The default of None
means 'no scope' and only matches ownerless skills, so an unsafe call
without an explicit owner is now a no-op. 'owner' is also removed from
scalar_keys so the updates dict cannot be used to reassign ownership
even when the manager is called from an in-process path that didn't
supply the owner argument.
The in-process callers in tool_implementations.py are updated to pass
owner=owner (which was already in scope at every call site) so the
HTTP and agent paths both go through the scoped check. The HTTP route
at routes/skills_routes.py:1499 was already owner-scoped via
sm.load(owner=user); the fix brings the in-process path up to the
same standard.
Follow-up to #275. get_relevant_skills() treats a missing/unparseable
confidence as 1.0, so it always clears the injection threshold. For
teacher-escalation drafts -- auto-written from a possibly untrusted trace
and then injected as authoritative guidance -- that means a draft can be
auto-injected regardless of the configured confidence bar.
Require teacher-escalation drafts to carry an explicit, parseable
confidence that meets min_confidence; fail closed otherwise. Hand-authored
legacy drafts keep the lenient "unset -> keep" behavior so they don't
silently vanish, and published skills are unaffected.
Ran: python -m py_compile services/memory/skills.py + a get_relevant_skills
unit check (teacher drafts with None/garbage/0.8 excluded at min=0.85; 0.9
included; legacy + published unaffected; gate-off control unchanged).
Co-authored-by: Fernando Lazzarin <263019791+waitdeadai@users.noreply.github.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Léo