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Diagnose and optimize Agent Skills (SKILL.md) with real session data and research-backed static analysis. Works with Claude Code, Codex, and any Agent Skills-compatible agent.
Passed 9 of 17 test cases with the skill, and 5 of 17 without it.
and 4 more in the full report
6 fixed6 passed either way9 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
When calculating a skill's composite 1-5 score, which evaluation dimension carries the highest single weight percentage in the scoring model?
| Checked | Without skill | With skill |
|---|---|---|
| Weights the Trigger Rate dimension at 25% of the total score | Missed | Passed |
The instructions your model reads when the skill loads.
Analyze skills using historical session data + static quality checks, output a diagnostic report with P0/P1/P2 prioritized fixes. Scores each skill on a 5-point composite scale across 8 dimensions.
CSO (Claude/Agent Search Optimization) = writing skill descriptions so agents select the right skill at the right time. This skill checks for CSO violations.
/optimize-skill → scan all skills/optimize-skill my-skill → single skill/optimize-skill skill-a skill-b → multiple specified skillsAuto-detect the current agent platform and scan the corresponding paths:
| Source | Claude Code | Codex | Shared |
|---|---|---|---|
| Session transcripts | ~/.claude/projects/**/*.jsonl | ~/.codex/sessions/**/*.jsonl | — |
| Skill files | ~/.claude/skills/*/SKILL.md | ~/.codex/skills/*/SKILL.md | ~/.agents/skills/*/SKILL.md |
Platform detection: Check which directories exist. Scan all available sources — a user may have both Claude Code and Codex installed.
test cases passed, vs 5 / 17 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.