reviewing-ai-generated-code
reviewing-ai-generated-code is a Change & PR review skill for AI agents, published by leonasdev in the .dotfiles repository on GitHub. Skillspace rates reviewing-ai-generated-code D (61/100) and it passed the safety scan; the rating is based on static analysis only.
深度 review 另一個 AI agent (Cursor, Copilot Agent, Gemini CLI, ChatGPT, 其他 Claude session 等) 或 AI-輔助同事完成的 code 變更,從 reviewer 角度驗證實作正確、能 work、品質達標。 觸發情境包含使用者說「同事用 AI 寫了 X,幫我 review」「另一個 AI 完成的,pull 下來看一下」 「幫我詳細 review 這個 branch / PR / commit」「我同事推了 code,幫我看」 「這是 Cursor / Copilot Agent 做的,幫我審查」「幫我 code review」、提到拉取一個分支或 PR 並要求審查、或附上與其他 AI 的對話紀錄、task spec 並要求驗證實作的場景。 重點是 AI agent 寫的 code 有特定失敗模式 (hallucinated APIs、silent fallback、表面合理但實際錯誤、 testing theater、spec drift、over-engineering),這些跟人類寫的 code 不一樣,要用對應的方法檢查。 這個 skill 是 *reviewer 視角*——不是請別人 review 自己的 code (那是 requesting-code-review), 也不是處理收到的 review (receiving-code-review)。 Leon 收到同事 push 上來的 AI-輔助 commit / PR 並請你 review 時,請主動使用此 skill,即使他沒 明確要求。
- Grade
- D
- Quality
- 61 / 100
- Safety
- Passed
- GitHub stars
- 80
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 76 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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