name: supply-chain-advisory description: 'Supply chain security patterns for dependency management: known-bad version detection, incident response, lockfile auditing, and artifact scanning. Do not use for general CVE triage unrelated to dependency supply chain.' version: 1.9.3 alwaysApply: false category: infrastructure tags:
- security
- supply-chain
- dependencies
- vulnerability
- pypi dependencies:
- error-patterns
provides:
infrastructure:
- supply-chain-scanning
- dependency-auditing
- incident-response patterns:
- known-bad-detection
- lockfile-audit
- artifact-scanning usage_patterns:
- dependency-security-check
- incident-response
- supply-chain-audit complexity: intermediate model_hint: standard estimated_tokens: 500 progressive_loading: true modules:
- modules/scanning-patterns.md
- modules/incident-response.md role: hook-target
Overview
Supply chain attacks bypass traditional code review by compromising upstream dependencies. This skill provides patterns for detecting, preventing, and responding to compromised packages in Python ecosystems.
When To Use
- After a supply chain advisory is published
- When auditing dependencies for a new or existing project
- During incident response for a suspected compromise
- When adding the SessionStart hook to a project
When NOT To Use
- General CVE triage unrelated to dependency supply chain
- Application-level vulnerability scanning (use a SAST tool)
- License compliance audits (different concern)
Known-Bad Versions Blocklist
The blocklist lives at ${CLAUDE_SKILL_DIR}/known-bad-versions.json.
It is consumed by:
- SessionStart hook — warns per-session when compromised versions detected
make supply-chain-scan— CI/local scanning target- This skill — manual audit guidance
Blocklist Format
{
"package_name": [{
"versions": ["x.y.z"],
"date": "YYYY-MM-DD",
"description": "What the attack did",
"indicators": ["files or patterns to search for"],
"source": "advisory URL",
"severity": "critical|high|medium"
}]
}
Adding a New Entry
- Add the entry to
${CLAUDE_SKILL_DIR}/known-bad-versions.json - Add version exclusions (
!=x.y.z) to affectedpyproject.tomlfiles - Document in
docs/dependency-audit.mdunder Supply Chain Incidents - Run
make supply-chain-scanto verify detection works
Quick Scan Commands
Check all lockfiles on machine for known-bad versions
# Scan uv.lock files for a specific compromised version
grep -r "package_name.*version" --include="uv.lock" /path/to/projects
# Search for malicious artifacts
find /path/to/projects -name "suspicious_file.pth" 2>/dev/null
# Check installed versions in virtualenvs
find /path/to/projects -path "*/.venv/lib/*/PACKAGE*/METADATA" \
-exec grep "^Version:" {} +
Verify lockfile hash integrity
uv.lock includes SHA256 hashes for every package. If a package is
re-published with different content under the same version, uv sync
will fail with a hash mismatch. This is your strongest automatic defense.
Defense Layers
| Layer | Tool | Catches |
|---|---|---|
| Lockfile hashes | uv.lock SHA256 | Tampered re-published versions |
| Version exclusions | pyproject.toml != | Known-bad versions on fresh resolve |
| SessionStart hook | sanctum hook | Per-session warning for compromised deps |
| CI scanning | OSV + Safety | CVE database + advisory matching |
| Artifact scanning | make supply-chain-scan | Malicious files (.pth, scripts) |
Limitations
- Zero-day supply chain attacks have no prior advisory — lockfile hashes are the only automatic defense during the attack window
- Safety/CVE databases lag behind real-world compromises
- OSV provides broader coverage but is still reactive