Install any skill in seconds. Free to start, no credit card required.
Get Started Free →moonrunnerkc/skillcheck
Validates SKILL.md files for spec-facing structure, sizing, references, cross-agent compatibility, and agent-authored critique or graph diagnostics.
Passed 22 of 22 test cases with the skill, and 4 of 22 without it.
and 16 more in the full report
18 fixed4 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 18 test cases the skill fixed. Same model, same prompt, with and without the skill.
What is the simplest CLI command to run a full structural check against the SKILL.md specification for `./skills/search-indexer`?
| Checked | Without skill | With skill |
|---|---|---|
| Recommends skillcheck ./skills/search-indexer | Missed | Passed |
The instructions your model reads when the skill loads.
skillcheck is a static analyzer for SKILL.md files. It validates frontmatter structure, scores description discoverability, checks file references, and extracts a capability graph from heading and backtick-reference patterns. Run it before committing a skill, plugging it into CI, or publishing to a skill registry.
Pass path to skillcheck for a full structural check against the agentskills.io specification. Validates name constraints, description quality, body sizing, file references, and cross-agent compatibility. The validation report is written to stdout. Exit codes: 0 no errors, 1 errors found, 2 input error (missing file), 3 symbolic passed but semantic critique flagged errors.
skillcheck <path>
skillcheck <path> --format json
skillcheck generates a structured critique prompt for path and ingests response.json as the agent's reply. Save the emitted prompt to prompt.txt. The merged validation report combines symbolic diagnostics and semantic findings from the critique.
skillcheck <path> --emit-critique-prompt > prompt.txt
Hand prompt.txt to your agent. The agent returns JSON. Save the response as response.json, then ingest it.
skillcheck <path> --ingest-critique response.json
Pass --critique-agent codex or --critique-agent cursor to select a prompt variant tuned for that platform. The critique JSON schema is identical across all agent targets.
skillcheck extracts the capability graph from heading structure and backtick references in the body of path. Use prompt.txt for emitted graph prompts and ingest response.json from your agent for richer extraction.
Run graph analysis using the heuristic extractor (no agent needed):
test cases passed, vs 4 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.