agentleFS
JosefGisisJosefGisis/skills/review/SKILL.md

review

Skill1 starsChanged 9 days agoNo licenceView on GitHub

Reviews code against plan/feature intent and the implementation skill via two parallel sub-agents — reporting problems only, without making changes unless asked. Use when the user asks to review a change, PR, branch, diff, or implementation; to check whether the code matches the plan or feature; or to verify conformance to implementation standards. Distinct from planning (produces a plan) and implementation (writes code) — this skill audits finished or in-progress work.

We split this skill into the rules it gives an agent

8 rules. 0 are common, 6 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 158 edited versions we read keep these.

  • 6

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 158 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

  • Other versions192 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 192

    1. garrytan/gstack★ 139ksame name
    2. ansible/ansible★ 71ksame name
    3. docling-project/docling★ 70ksame name
    4. traefik/traefik★ 65ksame name
    5. ClickHouse/ClickHouse★ 51ksame name
    6. temporalio/temporal★ 24ksame name
    7. tisfeng/Easydict★ 15ksame name
    8. juicedata/juicefs★ 15ksame name
    9. elie222/inbox-zero★ 13ksame name
    10. gitkraken/vscode-gitlens★ 9.9ksame name

    182 more not listed

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • Used alongsideProjects with it also use daily-arxiv, exp-eval and 9 more.

    Other files people use alongside this one.

    Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
    • LambenthanSkill

      daily-arxiv

      每日从 arXiv 拉取新论文,过滤相关性,auto-ingest 高优先级论文,检测 SOTA 更新

      Also in 5 projects that use this

    • LambenthanSkill

      exp-eval

      实验判决门:Review LLM 独立评判实验结果 → 4 种判决路径 → 自动更新 claims confidence、ideas status、graph edges

      Also in 5 projects that use this

    • SethGammonSkill

      ascii-diagram

      Generate perfectly aligned ASCII diagrams — architecture, flow, sequence, box-and-arrow. Uses a programmatic character-grid approach so alignment is guaranteed by math, not token prediction. Includes post-render verification.

      Also in 4 projects that use this

    • DAIR-AutoResearchSkill

      exp-pilot-eval

      Pilot result evaluation — read pilot results, apply success criteria, update idea page (pilot_result, failure_reason if failed), generate PILOT_VERDICT_REPORT. Called by /ideate Phase 5 after /exp-pilot-run.

      Also in 4 projects that use this

    • DAIR-AutoResearchSkill

      exp-pilot-run

      Pilot experiment execution — read Pilot Spec YAML, write pilot code, run experiment(Confirm with the user before operation and require the applicant to conduct manual inspection), return results. Called by /ideate Phase 5. Does NOT modify wiki pages or judge pass/fail.

      Also in 4 projects that use this

    • +5 more from Lambenthan
    • +1 more from DAIR-AutoResearch
  • In this repository9 other files it gives its agents.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

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  • It worked
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  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

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