Dependency Audit
SkillAI & modelsDependency risk assessment, read-only: known CVEs, deprecated packages, licence compliance, maintenance status, lockfile integrity, and a justification for every new dependency. Acting on it is dependency-upgrade.
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Then ask your AI: use the Dependency Audit skill
What this skill tells your AI
The instructions your AI receives, as published by byerlikaya/claude-starter-kit in plugin/skills/dependency-audit/SKILL.md and read by ahel’s review.
Trigger phrases: "dependency audit", "npm audit", "package security", "CVE", "license", "deprecated package", "still maintained", "no longer maintained", "unmaintained", "third party library", "supply chain"
This skill only reports. It changes no manifest and no lockfile — bringing dependencies current is [[dependency-upgrade]], which classifies each move by risk and verifies the build. Keeping the two apart keeps this one safe to run any time, on any branch, including one you are only inspecting.
Audit axes
- Known vulnerabilities (CVE): audit appropriate to the ecosystem
npm audit --production # Node dotnet list package --vulnerable # .NET (cannot be combined with --deprecated/--outdated) pip-audit # Python - License compliance: flag licenses incompatible with the project such as copyleft/GPL (a risk in commercial closed source).
- Maintenance status: abandoned / long-unmaintained / single-maintainer packages, and packages the registry
itself marks deprecated —
dotnet list package --deprecated,npm view <pkg> deprecated. A deprecated package is not a version problem: no bump fixes it, it needs a replacement. - Transitive dependencies: also scan vulnerabilities in indirect dependencies.
- Lockfile integrity: lockfile committed and consistent with the manifest; versions pinned.
- Justification for new dependencies: is it actually needed? Don't add a heavy package for a single small function (supply-chain surface).
- Install-time execution: does any dependency run code during installation —
preinstall/install/postinstallscripts — andprepare, which runs only for a git, link or folder dependency and never for a registry tarball — a build hook, or a setup step that fetches at install time? This is the mechanism the recent registry compromises actually used: the malicious version does not have to be imported, only installed, so a CVE feed and a code review both miss it. Ask two things: which packages declare such a script, and whether the project can install without them at all (npm ci --ignore-scripts; for Python the control is refusing source distributions,pip install --only-binary=:all:, optionally with--require-hashes— a wheel has no install hook, an sdist does; or a vendored, pre-built artefact). A package that cannot install without running code is not disqualified — it is a package whose publisher you are trusting with arbitrary execution on every machine and every runner, which is a decision, not a default. - Publisher concentration — read it from the registry, not from the repository. "Many contributors" on a
forge says who can open a pull request; it does not say who can publish. The number that matters is who holds
the publish right on the registry (
npm owner ls <pkg>· for PyPI the package JSON'sownership.roles, NOT the self-reportedinfo.maintainerfield · the equivalent ACL for the ecosystem in use) — and whether the PUBLISH PATH itself is challenged, which is not the same as "the account has 2FA": npm'sauth-only2FA mode does not gatenpm publish, and a granular token with bypass-2FA publishes with no second factor, while on PyPI 2FA has been mandatory for every account since 2024 so the real question there is Trusted Publisher versus a long-lived API token. A widely-used package whose registry ACL is one unprotected account is a single compromised credential away from every build that installs it, whatever the contributor graph looks like.
Output
Severity-sorted list: package · version · issue (CVE/license/maintenance) · upgrade path.
DoD
- 0 known HIGH/CRITICAL vulnerabilities; licenses compliant; lockfile consistent; every new package justified.
- Every axis resolves to one of three states, and the third is a real answer: assessed-clean,
assessed-flagged, or not assessable here — and why. An axis that was skipped because the tool is missing,
the registry was unreachable, or the ecosystem has no equivalent is reported as unassessed, never folded into
the clean count. A report that cannot tell "nothing found" from "nobody looked" is the failure this skill
exists to prevent, and the sibling
security-scanalready holds the same rule.
Signals
- GitHub stars
- 22
- Forks
- 4
- Last commit
- Sep 2026
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dependency-audit-byerlikaya- Source
- github.com/byerlikaya/claude-starter-kit