
Skill Reviewer
Audits an existing agent skill for readiness, routing, safety and evidence without editing it.
- Repository
- bytedance/deer-flow
- Stars
- 84,876
- Licence
- MIT
- Files
- 13 files
What it does
When installed, the agent acts as a quality reviewer for other agent skills. It inspects a skill package as untrusted data, checks whether its description triggers correctly, flags safety and resource problems, and grades how much evidence exists for its claims. It reports a readiness verdict and suggests paste-ready fixes, but it does not apply changes; edits, creation or experiments are handed off to a separate skill-creator skill.
Great for
- Developers maintaining a DeerFlow or other SKILL.md skill library who want a pre-publish check
- Teams deciding whether a skill is ready to share internally or publicly
- Authors diagnosing why a skill fires too often or not at all
Skip it if
- Ordinary application-code review, which the skill explicitly excludes
- Someone who wants a skill created or edited, since it only recommends changes and hands off that work
- Anyone expecting proof of runtime behaviour: a 'publish_candidate' verdict only means no material issue was found in the assessed scope
Try asking
- “Review the skill at skill://public/data-analysis for production readiness”
- “Audit my pasted SKILL.md and tell me whether its description will over-trigger”
- “Check whether the evals for this skill actually prove what it claims”
- “Grade only the safety and resources dimensions of my team-helper skill”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 13 original files, the MIT licence and an attribution note.
skill-reviewer.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip skill-reviewer.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip skill-reviewer.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- Give a precise scope (for example only triggers or safety) to get a focused, faster review.
- Ask for deterministic facts only when you want a purely mechanical check without semantic judgement.
- Treat the verdict as a checklist for human review; use the separate assurance level to see how much was actually tested.
What's inside
- evals/evals.json
- evals/fixtures/blocked/SKILL.md
- evals/fixtures/needs-revision/SKILL.md
- evals/fixtures/partial-package/SKILL.md
- evals/fixtures/prompt-injection/SKILL.md
- evals/fixtures/publish-candidate/SKILL.md
- evals/fixtures/zh-output/SKILL.md
- references/effect-verification.md
- references/eval-design.md
- references/report-rendering.md
- references/review-checklist.md
- references/review-rubric.md
- SKILL.md
Redistributed unmodified from bytedance/deer-flow under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.