dependency-audit
Skill4 starsChanged 11 days agoMITView on GitHub
Audit a project's dependencies for available updates, removals, security issues, and major-version features worth adopting. Use this whenever the user asks what can be updated, upgraded, removed, replaced, or is outdated; asks whether a major version would bring useful new features; asks to review the packages, libraries, crates, gems or dependencies in a project; or mentions dependency hygiene, supply-chain risk, abandoned packages, or automated update tooling like Dependabot or Renovate - even if they never say the word "audit". Also use it when planning an upgrade batch, to decide what belongs in it.
42 other projects use a version of this.
Adopted by
Most recently taken up by
- petr-korobeinikov/skillstheir own version, first seen Nov 8, 2026
- ymd38/dev-skillstheir own version, first seen Nov 8, 2026
- northraystudio/marudatheir own version, first seen Nov 8, 2026
- Smaui94/ClaudeSkillCollectiontheir own version, first seen Nov 8, 2026
- nisarth/claude-skills-storetheir own version, first seen Nov 8, 2026
- amkisko/prayerstheir own version, first seen Nov 6, 2026
Used with
Projects with it also use api-audit, container-audit and 8 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
gmanch94Skillapi-audit
Guides a structured API portfolio audit — from discovery through primary-source-verified inventory, shortcomings analysis, prioritized recommendations, executive summary, and options analysis. Enforces primary-source discipline, cross-file consistency, and advisor review gates. Use when auditing an API portfolio, evaluating a vendor's developer ecosystem, or producing defensible technical analysis of an API set.
Also in 3 projects that use this
grichaSkillcontainer-audit
Audit local Docker images and running containers for hardening issues before deploy — privileged flags, root users, stale base images, missing resource limits. Use for pre-deploy container review.
Also in 3 projects that use this
conorluddySkillperformance-profiling
Instruments integration and performance analysis workflows for iOS apps. Use when profiling CPU usage, memory allocation, network activity, or energy consumption. Covers Time Profiler, Allocations, Leaks, Network instruments, and performance optimization strategies.
Also in 3 projects that use this
OpenAISkillthreat-model
Use when Codex is already in the threat-modeling phase of a security scan, the user explicitly invokes $threat-model, or the user explicitly asks to create, update, or persist a repository threat model. Do not use as the primary trigger for full PR, commit, branch, patch, or repository scans.
Also in 4 projects that use this
renfei-designSkilla11y-audit
Audit Figma designs for WCAG accessibility issues — color contrast, minimum font size, touch target sizing, and missing text alternatives. Use when asked to check accessibility, audit contrast ratios, find a11y issues, verify WCAG compliance, or review designs for accessibility problems. Scans nodes, analyzes offline, and annotates issues in Figma.
Also in 3 projects that use this
OpenAISkillsecurity-scan
Use for a standard, single-pass security audit of an entire repository or a scoped path, package, folder, or submodule with no diff to review. This is the default repository scan. Do not use for PR, commit, branch, or working-tree diffs, or for deep, multi-pass scans.
Also in 4 projects that use this
Other versions42 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 42
- web-infra-dev/modern.js★ 5ksame name
- briiirussell/cybersecurity-skills★ 489same name
- Mathews-Tom/armory★ 340same name
- PerryLink/dsh-skill-pack-security★ 22same name
- Indium-AI-Labs/indium-agentkit★ 18same name
- Ionate-Technologies/indium-agentkit★ 17same name
- Quality-Max/free-qa-skills★ 13same name
- jnotsknab/mux-swarm★ 9same name
- greglas75/zuvo★ 7same name
- northraystudio/maruda★ 7same name
32 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository10 other files it gives its agents.
The file
We split this skill into the rules it gives an agent
7 rules. 0 are common, 5 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 39 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 33
Do this before running anything.
- Distinctive: line 40
Treat every documented reason as possibly stale.
- Distinctive: line 63
An empty slot is a finding, not a blank: If you looked and there genuinely are no held-back versions, say "no constraints documented" - …
- Very specific: line 72
Run these before reasoning about anything.
- Very specific: line 76
Use absolute paths in every command.
- Distinctive: line 86
If a check needs an install or a write to verify, say so and stop, rather than mutating a repo you were asked to inspect.
- Distinctive: line 151
Do not mutate: No installs, upgrades, lockfile writes, branches, commits or PRs.
“Common” is measured: kept by at least 6 in 10 of the 39 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Dependency audit
Why this needs judgement at all
Most of what people ask for here is already answered by tools. npm outdated
lists versions. knip finds unused packages. npm audit finds advisories.
Renovate does all three forever, unattended. If the deliverable is a list of
version numbers, a model is a slow and unreliable way to produce it.
The parts a tool cannot answer are the whole value of doing this by hand:
- Would this codebase actually use what the new major brings? A changelog says what changed. Only reading the code says whether it matters here.
- What in this repo forbids the obvious upgrade? Nearly every mature project holds something back on purpose, and the reason is rarely in the package. It is in a doc, an issue, or somebody's head.
An audit that misses the second kind is worse than no audit: it confidently recommends work the project already considered and rejected, or work it is technically unable to apply. That wastes the reviewer's time and, worse, trains them to skim the next one.
So the shape of this skill is: fill in what the tools cannot know first, then let the tools do their own job, then reason only about what is left.
Step 0 - fill the four slots
Do this before running anything. Derive each slot from the repo, then state it back explicitly.
Slot 1 - Constraints and hazards. What is deliberately held back, pinned, or
coupled, and why. Look in CLAUDE.md / AGENTS.md / CONTRIBUTING.md, in
comments next to pins, and in closed issues and PR descriptions.
Treat every documented reason as possibly stale. The circumstance that justified a pin often expires without anyone editing the doc, and a constraint that has been corrected once will be corrected again. For each constraint say whether you re-derived it or are taking it on trust - those are different claims and the reader needs to know which they are getting.
Slot 2 - Update mechanism. How does a change actually get applied here? Some
projects forbid a blanket update/up because transitive re-resolution breaks
something unrelated to the named package. Some enforce a minimum release age.
Some pin exact and some prefer ranges. Every recommendation you make has to be
expressible in this project's mechanism, or it is not a recommendation, it is
a wish.
Slot 3 - In flight. Open PRs and issues that touch dependencies. Check with
gh pr list and gh issue list, not just the working tree. Say what to treat
as already done. Recommending a swap that an open PR already performs is the
single most common way one of these reports gets dismissed.
Slot 4 - Settled. Decisions already taken, with their issue or commit reference: "X was considered and deliberately kept - see #40." An audit that re-proposes a rejected idea, with no sign it knows the idea was rejected, reads as untrustworthy even where it is right.
An empty slot is a finding, not a blank. If you looked and there genuinely are no held-back versions, say "no constraints documented" - that is useful and slightly alarming information. What you must not do is skip the slot silently, because "I found nothing" and "I did not look" produce the identical empty section and the reader cannot tell them apart. If a slot needs the user to fill it, ask before running the analysis rather than after.
Step 1 - let the tools answer what they can
Run these before reasoning about anything. See references/ecosystems.md for
the commands per ecosystem (npm/pnpm/yarn, cargo, pip/uv, go, GitHub Actions,
and the non-package toolchain).
Use absolute paths in every command. Working directories persist between
calls, and a stale cd silently turns a glob into an empty result - which reads
exactly like a clean report. That failure mode is quiet and has produced wrong
"nothing to remove" conclusions.
For unused dependencies specifically, run a real tool (knip, depcheck,
cargo-udeps) and report its output. Grep is not a substitute. It cannot
see a package that is declared and never imported - which is the single most
common removable thing - and it misses dynamic imports and re-exports.
If a check needs an install or a write to verify, say so and stop, rather than mutating a repo you were asked to inspect.
Step 2 - the four questions, per major version
This is the part worth your time. For every major available, answer:
- What it concretely adds or fixes. From the changelog or release notes. Not inferred from the version number, and not from memory - major version contents are exactly the kind of fact that drifts.
- Whether this codebase would use it. Cite the file that would change, or say "no benefit here" plainly. A major that brings nothing relevant is a perfectly good answer and deprioritising it is a real result, so do not pad it into sounding valuable.
- Migration cost, and what specifically breaks.
- What test coverage exists for the affected code, and whether a regression would actually be caught. If nothing covers it, say so - that is usually the real risk, and it is invisible in every version table.
Step 3 - the report
## Slots
Constraints / Update mechanism / In flight / Settled - each stated, empty ones named as empty.
## Inventory
Table: package | workspace | current | latest | publish date | gap | verdict
Verdicts: safe / needs care / blocked-by-constraint / don't.
## Majors worth taking
The four answers each.
## Majors not worth taking
One line each. As useful as the list above - it stops the next audit relitigating them.
## Removable
Declared-but-unused, and newly redundant (superseded by a platform or built-in API).
## Unmaintained vs merely old
These are different. A stable package with no releases in two years may be finished
rather than abandoned. Check issue activity and maintainer response, not just the date.
## Security
Split dev-only from runtime - they carry very different urgency.
## Automation
Is Dependabot or Renovate configured? If not, recommend one sized to this repo.
## Batches
Each sized to one PR, ordered by risk, expressed in the project's real update mechanism.
Name the verification gate that must pass for each.Discipline
Separate what you verified from what you inferred. Quote the command for anything verified. This matters more here than in most tasks, because version claims are cheap to state and expensive to be wrong about - a confident, wrong "safe to bump" costs a broken build and the reader's trust in everything else in the report.
If something is boring, say so briefly rather than padding it. A long report where the important finding is buried in paragraph nine is a worse artifact than a short one.
Do not mutate. No installs, upgrades, lockfile writes, branches, commits or PRs. The deliverable is the report; applying it is a separate decision the user makes after reading.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

