用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/SocketDev/action --skill looping-quality命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
Propagate a wheelhouse template change across fleet repos: worktrees, push/PR fallback, cleanup.
Run this repo's GitHub Actions locally with Agent-CI before pushing CI-sensitive changes.
Audit package exports for dead, internal-only, or weakly-consumed subpaths before pruning.
基于 SOC 职业分类
正在显示 SKILL.md
| name | looping-quality |
| description | Run scanning-quality, fix findings, repeat until clean or the iteration limit is hit. |
| user-invocable | true |
| allowed-tools | Skill, Task, Read, Grep, Glob, Bash(pnpm run check:*), Bash(pnpm run test:*), Bash(pnpm test:*), Bash(pnpm run build:*), Bash(git status:*), Bash(git diff:*), Bash(git add:*), Bash(git commit:*) |
| model | claude-sonnet-4-6 |
| metadata | {"internal":true} |
A thin loop counter over the scanning-quality
primitive. scanning-quality is one pass — fan out finders, dedup, verify,
produce an A-F report. This skill wraps it in an iterate-fix-recheck loop: scan,
fix the findings, scan again, until the report is clean or the iteration cap is
hit. All the scanning logic lives in scanning-quality; this skill only adds the
counter and the fix-and-recheck cadence.
Interactive only — this skill makes code changes and commits. Do not use as
an automated pipeline gate (that's what a single scanning-quality report is
for).
Track an iteration counter N, starting at 1, capped at MAX_ITERATIONS = 5.
scanning-quality skill (all scan types). It returns the
A-F report + findings.refactor-cleaner agent (see agents/refactor-cleaner.md)
to fix the findings, grouped by category. Honor CLAUDE.md's pre-action
protocol: dead code first, then structural changes, ≤5 files per phase._shared/verify-build.md) and the test
suite after fixes to confirm nothing broke.fix: resolve quality scan issues (iteration N).N. If N > MAX_ITERATIONS, stop and report remaining
findings. Otherwise go to step 1.git log.scanning-quality (which pins opus);
this skill just orchestrates the loop, so it runs on a lighter model.