快速盤點近期改動的品質風險,利用 codacy / context7 / sequentialthinking 制定最小修正。Use when scanning recent changes for quality issues, running static analysis, or planning remediation with Codacy/Context7 tools.
Scanned 9/4/2026
Install to Claude Code
npx -y skills add NeverSight/skills_feed --skill black-tortoise-agent-quality-scan --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Black Tortoise Agent Quality Scan?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/neversight-black-tortoise-agent-quality-scan)More formats (shields.io, HTML) on the badges page.
---
name: black-tortoise-agent-quality-scan
description: 快速盤點近期改動的品質風險,利用 codacy / context7 / sequentialthinking 制定最小修正。Use when scanning recent changes for quality issues, running static analysis, or planning remediation with Codacy/Context7 tools.
---
# Black-Tortoise Agent Quality Scan Skill
## 使用時機
- PR 前後,想快速列出高風險點(lint/type/test 失敗、API 誤用、層次違規)。
- 需要縮小改動面積並產出可執行的修正清單。
## 作業流程
1. **範圍鎖定**:用 `search/changes` 或 git diff 決定掃描檔案;若無 diff,聚焦當前功能目錄。
2. **規則定位**:依 `docs/INDEX.md` 讀取對應 `AGENTS.md` / `README.md`,確認層次邊界與禁止事項。
3. **問題蒐集**:
- 啟用 `codacy/*` 取得分析;記錄嚴重/高優先事項。
- 若有框架 API 疑慮,透過 `context7/*` 查官方簽章。
4. **拆解與排序**:用 `sequentialthinking/*` 產出最小修正步驟(先高風險、低成本)。
5. **建議修正**:針對每項問題給出最小可執行修正與檔案路徑;避免跨層改動。
6. **驗證**:建議執行 `pnpm run lint`、`pnpm run architecture:gate`、相關 tests(除非要求,不自動執行)。
## 輸出格式
- 假設/風險 → 問題清單(含檔案鏈結) → 建議修正步驟 → 建議驗證。
- 標註若需使用者決策的項目(如變更 API、調整設定)。
## 禁止事項
- 以增加範圍為代價的過度修正;保持最小改動。
- 引入 RxJS 狀態管理或 `as any`。
- 破壞層次單向依賴或跨能力深層 import。
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Ultra-compressed commit message generator. Cuts noise from commit messages while preserving intent and reasoning. Conventional Commits format. Subject ≤50 chars, body only when "why" isn't obvious. Use when user says "write a commit", "commit message", "generate commit", "/commit", or invokes /caveman-commit. Auto-triggers when staging changes.
Ultra-compressed code review comments. Cuts noise from PR feedback while preserving the actionable signal. Each comment is one line: location, problem, fix. Use when user says "review this PR", "code review", "review the diff", "/review", or invokes /caveman-review. Auto-triggers when reviewing pull requests.
Prepare a GitHub pull request from a feature branch — branch hygiene, commit shape, title/body, verification notes, screenshots for UI work, and replies to review comments.
Check a GitHub, GitLab, or Perforce PR/MR/CL for review comments, failing checks, and PR-body gaps. Use when asked to inspect, fix, or prepare a change for submission.
Remove unused code from this project with ultrawork mode, LSP-verified safety, atomic commits. Triggers: remove dead code, dead code, cleanup, remove unused.