Skill Graveyard
Audit which Claude Code skills you actually invoke. Use when the user wants to find dead/unused skills, hallucinated skill invocations, per-project skill stats, or token cost of installed skill metadata. Triggers on "what skills don't I use?", "clean up my skills", "why didn't this skill work?", "audit skills". Runs locally; reads ~/.claude session JSONL logs. No network calls.
Install
$ agentstack add skill-sfrangulov-skill-graveyard-skill-graveyard ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-sfrangulov-skill-graveyard-skill-graveyard) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
skill-graveyard
CLI that audits Claude Code skill usage. Two signals from one parser:
- Dead installs — installed but never invoked → safe to remove.
- Hallucinated invocations — invoked but not installed → typos, external-framework registrations, or model tool/skill confusion.
How to invoke
Run via npx skill-graveyard@latest [flags] — no install needed.
Subcommands
audit(default) — classify into active / dead / missing / hallucinated. Flags:--days N,--only,--json,--claude-dir.prune— print removal commands for dead skills.--applyto execute (user/agents only; plugin removals always print only).suggest— triage hallucinated/missing into actionable buckets.projects— per-project usage breakdown (cwd from sessions).cost— token cost estimate of installed metadata vs invocations.outdated— check installed plugins / git skills for upstream updates (network).
Decision flow
- "are there skills I don't use?" →
npx skill-graveyard@latest - "clean up unused skills" →
prune, thenprune --apply - "skill X didn't work" →
suggest(look for hallucinated/missing entry) - per-project view →
projects - token cost →
cost - check updates →
outdated
After running, print binary output as-is. Do not summarize unless the user asks.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: sfrangulov
- Source: sfrangulov/skill-graveyard
- License: MIT
- Homepage: https://sfrangulov.github.io/skill-graveyard/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.