Use when reviewing Codex, Qoder, or repo-local skills and their prompt chains for trigger quality, workflow clarity, progressive disclosure, duplicated instructions, template ownership, output readability, validation gaps, or whether a skill should be edited.
SkillScore72Maintained
Automatic
◆AI Engineer pack
Last verified 8/13/2026
What it changes
Passed 14 of 20 test cases with the skill, and 9 of 20 without it.
Without skill44%
With skill72%
Checks it passed that the model alone missed
The missing script issue is categorized as P0 severity.
The context duplication issue is categorized as P1 severity.
The initial inspection includes reading the nearest AGENTS.md file.
and 6 more in the full report
8 fixed10 passed either way6 still failing1 broke
Pass-rate lift
+28 pp
Tokens
+22%
Agent turns
0%
Response time
-30%
Model gemini-3.6-flashMeasured 8/13/2026v118 of 25 cases passed with skill · 20 comparable
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 8
Prompt
An audit of `skills/git-rebase/SKILL.md` reveals inconsistent header levels and non-standard bullet points that make the file harder for humans to scan, though agents execute the steps flawlessly. What severity level applies?
What was checked, without and with the skill
Checked
Without skill
With skill
The formatting issue affecting scannability is categorized as P2 severity.
Missed
Passed
case-09 · gemini-3.6-flash · 8/13/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md62 lines4 files
Skill Review
Review a skill as an execution contract, not as prose. Trace how an agent would
enter, load, delegate, produce artifacts, and verify results; then report the
smallest changes that would improve that chain.
Review Workflow
Resolve the target skill or prompt chain. If the user names a path, stay on
that path and its directly linked resources.
Read repo instructions first: nearest AGENTS.md, plugin manifests, and the
target SKILL.md frontmatter/body.
Trace the chain from entrypoint to references, templates, scripts, detectors,
tests, generated artifacts, and validation commands. Build an ownership map:
what file owns workflow, output structure, runtime rules, style, and tests.
Audit the contract before editing. Use Audit Checklist
and Reference Patterns as lenses.
If the user asked for changes, patch only the smallest owning files. Keep
generated helpers, smoke scripts, and local experiments outside SKILL.md
unless they are durable resources the skill must use.
Validate with the lightest real gate available: skill validator, repo tests,
plugin validation, or a bounded agent smoke. State any gate that could not be
run.
Use subagents only as an evaluation surface or for independent broad research.
The lead agent owns the review, final calibration, and file edits. Pass raw
artifacts and task-local scope to subagents; do not pass the intended answer.