SKILL

test-audit

维护测试套件,找出并删除重复、空洞或与实现耦合的测试,同时保留有用的回归覆盖。适用于测试审计、测试裁剪、重复覆盖或降低 CI 测试成本,支持局部清理和协同审计行动。

译文已校对
查看英文原文

Garden the test suite by finding and removing redundant, vacuous, or implementation-coupled tests while preserving useful regression coverage. Use for test audits, test pruning, duplicate coverage, or reducing CI test cost. Supports focused cleanups and coordinated audit campaigns.

适用对象:对象待分类。自动收录 · 待核查。

原作者说明节选

从固定版本的 SKILL.md 提取,保留原文语言。以下内容属于作者说明,本站尚未验证安装、兼容或运行结果。

查看英文原文

原文涵盖的主题

  • Test Audit
  • Choose the scope
  • Decision gate
  • Prevent new duplication
  • Focused workflow
  • Completion and reporting

Reduce execution and maintenance cost while preserving meaningful failure detection. Investigate aggressively; delete only with evidence. Retaining an area after review is a valid result. This skill is self-contained; upstream attribution is in NOTICE.md. Focused cleanup: follow this entry point and read the candidate evidence guide before editing. Multiple owners, agents, or PRs: also read CAMPAIGN.md. Declare whether the work is a targeted sweep or an exhaustive subsystem audit. Validation and cost claims: read references/validation.md. Paperclip commands, invariants, and delivery: read references/paperclip.md alongside repository instructions. For every proposed removal, answer: 1. Which observable contract and plausible regression do the assertions cover? 2. Which retained file/case detects that regression through the responsible production code? Otherwise, why is the assertion vacuous or contract retired? 3. Does this candidate uniquely cover a transport, permission, lifecycle, storage boundary, platform, default, or other independent failure mode? 4. What improves: executions, fixtures, processes, maintenance, or runtime? Prefer the smallest test that reaches the code respons

这里只展示节选,请以完整原文和当前要求为准。

来源仓库
paperclipai/paperclip
源文件
.agents/skills/test-audit/SKILL.md
固定版本
1ca3e8ea2a759e511ab2d2659339c6c770a7a2ba
阅读完整原作者说明 ↗

准备条件

  • 本条仅收录原作者的技能元数据;请阅读完整说明,确认依赖、许可与使用条件。

第一件可以尝试的小事

先阅读原作者说明,再决定是否在自己的 AI 工具中使用。

对应 AI 工具说明

作者有说明不等于本站实机验证。没有证据时,不自动标为兼容、安全或免费。

来源与内容状态

本条为自动发现的元数据,尚未完成人工文档核查;适用性与运行结果待核查。

原作者:paperclipai/paperclip · 原作者仓库元数据。文档核查:未核查。最近来源检查:2026-11-10T02:01:27.258Z。

分类由名称、说明与路径规则生成,分类不代表已核实适配。

许可与权利归属

MIT。第三方内容及版权归原作者,使用条件以原文为准。

许可原文 ↗

本站没有因同步、复制或用户自报成功而将资源标为运行验证通过。

限制与注意事项

  • 元数据收录不代表本站已经安装、适配、实测或进行安全审查。