Add a new vulnerability audit service provider
- Implement the provider trait matching the OSV pattern in osv.rs
- Register the service in crates/uv-audit/src/lib.rs
- Add SARIF or JSON output format in crates/uv-audit-operations/src/
Understand astral-sh/uv's source layout and find a starting point for your task using the saved repository evidence.
Measured from the parsed import graph, retained from the earlier analysis. Coupling, not a reading order.
File paths come from a snapshot of up to 500 captured paths; an omitted file may still exist.
Provider: GitHub Actions
606 test files detected
Stack: Rust test
Where: crates/uv/tests/it · crates/uv/tests/build · crates/uv-client/tests/it
606 test files / 694 source files. This is a file-count ratio, not real line coverage — set up Codecov for authoritative numbers.
No Dependabot / Renovate / Snyk / Trivy / CodeQL config found. Enable Dependabot or Renovate.
Real-time data from Codecov, GitHub Actions, GitHub Issues, deps.dev — not estimates.
last 50 runs · median 4m
of 4 recent open issues are 30d+ old with no replies
median first-reply across 6 recent issues · fast
Files edited often AND hard to reason about. Churn = recent commit frequency, Complexity = branches and nesting, Risk = both combined. These are the highest-leverage targets for refactoring or testing.
Files that change often and are complex tend to accumulate more bugs
Pattern-matches from the file structure and dependencies — useful as hypotheses, but not grounded in actual source. For real findings see Code Scanning above.
If credential lookup fails, requests proceed without auth headers, risking rate limiting or private package rejection without explicit error.
crates/uv-auth/src/middleware.rs
Audit subsystem may silently skip vulnerability checks if OSV API is unreachable, creating false sense of security.
crates/uv-audit/src/service/osv.rs
Workspace member detection relies on presence of pyproject.toml without schema validation, risking misconfiguration.
crates/uv-bench/benches/workspace_discovery.rs
Speculation from file structure, not profiling data. Validate against real metrics before acting on these.
Serial metadata requests for each discovered dependency; parallelization via async HTTP mitigates but network latency remains.
PyPI metadata fetching loop in dependency resolver
External API calls for every audit operation; no local caching means repeated queries for common packages are re-fetched.
OSV vulnerability database queries in uv-audit
Exponential backtracking on complex dependency graphs with many conflicting version constraints.
SAT solver for dependency conflict resolution
System keyring operations are synchronous I/O; repeated credential lookups may block CLI responsiveness.
Keyring access in uv-auth cache layer
Static analysis on sampled source files (up to 15 files).