* fix(skills): don't attach model tracing to the in-graph skill security scan
* fix(skills): pass attach_tracing explicitly from the in-graph scan call site
Follow the tracing INVARIANT's own convention rather than detecting the call
context: scan_skill_content takes an attach_tracing flag, and _scan_or_raise --
the single in-graph choke point -- passes False. Standalone callers (Gateway
skill routes, installer) keep the default True.
The INVARIANT list named four sites and asks that new in-graph calls be added
to it; record this fifth one so a future audit of that list finds it.
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* Add phase 1 skill static scanning
* Rework SkillScan phase 1 as native scanner
* refactor(skillscan): align phase 1 with trimmed RFC contract
- SecurityFinding: 7 fields (rule_id, severity, file, line, message,
remediation, evidence); category/analyzer derive from the rule_id
prefix, confidence/column/fingerprint/metadata removed
- scan_archive_preflight()/scan_skill_dir() are pure functions: no
ScanContext, no policy schema; CRITICAL-blocks is a code constant and
skill_scan.enabled is applied by enforce_static_scan()/callers
- secret-* evidence is redacted before findings leave the scanner
- de-dup keys on (rule_id, file, line) so repeated occurrences keep
distinct locations for agent self-correction
- cloud-metadata detection consolidated into network-cloud-metadata
- nested zip members get a one-level stdlib magic-byte peek; an
executable member escalates package-nested-archive to CRITICAL
- install metadata sidecar removed (Phase 7 decides if it is needed)
- rule specs moved next to their analyzers; skillscan/rules/ removed
- tests updated + new anchors: redaction, dedup lines, nested-zip
escalation, single cloud-metadata rule, bundled-skill zero-CRITICAL
* fix(skillscan): tighten reverse-shell/secret/archive scan rules from review
Address PR #3033 review feedback on the native SkillScan analyzers:
- Reverse-shell false positives: split shell detection by signal strength
(/dev/tcp/, nc -e stay CRITICAL; bash -i, mkfifo -> new HIGH
shell-reverse-shell-heuristic, warn->LLM). The Python check is now
AST-anchored on real socket.socket/os.dup2/subprocess call sites instead
of raw-text substring matching, so prose/docstrings no longer hard-block.
- Secret evidence: _redact_secret_evidence returns [redacted] with no secret
bytes (was value[:6], which leaked 2 real token bytes past the prefix).
- Archive DoS: cap outer archive member count (_MAX_ARCHIVE_MEMBERS=4096);
scan_archive_preflight early-aborts with a package-too-many-members CRITICAL
finding (routes through the existing blocked->400 fail-closed path).
- shell-destructive-command: broaden the rm -rf matcher to sensitive system
roots (/home, /usr, /*, --no-preserve-root /) while leaving safe subpaths
unflagged.
- Dead code: collapse _decode_text_for_analysis to a single decode path and
drop the unused _TEXT_SUFFIXES set and _has_text_shebang helper.
- local_skill_storage: document why the host_path branch keeps app_config
possibly-None (lazy kill-switch resolution; avoids eager get_app_config in
config-free environments such as CI).
Tests: new negative/positive coverage in test_skillscan_native.py. Full
backend suite 6616 passed, 26 skipped.
* feat(skills): per-user skill isolation (#2905)
Implement user-scoped skill storage that isolates custom skills between
users while sharing public skills globally.
Key changes:
- Add UserScopedSkillStorage class for per-user custom skill directories
- Introduce get_or_new_user_skill_storage() factory with user_id context
- Auth middleware sets effective_user_id for request-scoped storage
- Agent/prompt/middleware now use user-scoped storage and prompt cache
- Sandbox mounts user-scoped skill directories for search/read tools
- Add validate_skill_file_path() to SkillStorage for path security
- Migration script supports --all-users bulk migration
- Frontend: add editable field to Skill type, error check in enableSkill
- All skill categories can be toggled (custom skills default to enabled)
- Update skill-creator SKILL.md with isolation-aware instructions
Tests:
- Add test_user_scoped_skill_storage.py (new)
- Update all existing skill tests for user-scoped storage
- Update sandbox, client, and router tests
* fix(skills): address second-round PR review feedback (#3889)
- P1-1: restrict legacy skill mount to users without custom skills
- P1-2: fail-closed for _is_disabled_skill_path (OSError → return True)
- P2-1: AND-merge global extensions_config skill disabled state
- P2-2: atomic write for _skill_states.json (mkstemp + replace)
- P2-3: normalize X-DeerFlow-Owner-User-Id in trusted boundary
- P2-4: LRU-bounded _enabled_skills_by_config_cache (OrderedDict, maxsize=256)
- P2-5: clear global prompt cache on PUBLIC skill toggle
- P2-6: invalidate skill caches on client.update_skill
* fix(tests): correct tool policy test after merge
* fix(skills): use DEFAULT_SKILLS_CONTAINER_PATH in UserScopedSkillStorage
The "/mnt/skills" literal in UserScopedSkillStorage.__init__ triggers
test_skill_container_path_defaults::test_mnt_skills_literal_is_owned_by_skill_constants_module
on CI. Migrate the default to the existing deerflow.constants constant,
matching the pattern already used by LocalSkillStorage, SkillStorage, and
the durable/tool_error middlewares.
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* fix(tools): introduce Runtime type alias to eliminate Pydantic serialization warning
Add deerflow/tools/types.py with:
Runtime = ToolRuntime[dict[str, Any], ThreadState]
Replace every runtime: ToolRuntime[ContextT, ThreadState] and
runtime: ToolRuntime[dict[str, Any], ThreadState] annotation in
sandbox/tools.py, present_file_tool.py, task_tool.py, view_image_tool.py,
and skill_manage_tool.py with the new Runtime alias.
The unbound ContextT TypeVar (default None) caused
PydanticSerializationUnexpectedValue warnings on every tool call because
LangChain's BaseTool._parse_input calls model_dump() on the auto-generated
args_schema while DeerFlow passes a dict as runtime context.
Binding the context to dict[str, Any] aligns Pydantic's serialization
expectations with reality and removes the noise from all run modes.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(tools): extend Runtime alias to setup_agent and update_agent tools
Replace bare ToolRuntime annotations in setup_agent_tool.py and
update_agent_tool.py with the shared Runtime alias introduced in the
previous commit, and add both tools to the Pydantic serialization
warning regression test (13 cases total).
Co-authored-by: Cursor <cursoragent@cursor.com>
* test(tools): loosen Pydantic warning filter to avoid version-specific format
Replace the brittle "field_name='context'" substring check with a looser
"context" match so the assertion stays valid if Pydantic changes its
internal warning format across versions.
Co-authored-by: Cursor <cursoragent@cursor.com>
* test(tools): simplify warning filter and clean up docstring
Remove the "context" substring condition from the Pydantic warning
filter — asserting that no PydanticSerializationUnexpectedValue fires
at all is both simpler and more comprehensive, since the test payload
contains only the tool's own args plus runtime.
Also update the module docstring to remove the version-specific warning
format example that was inconsistent with the looser filter.
Co-authored-by: Cursor <cursoragent@cursor.com>
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
