Test Coverage Review — PR <n>
2026/9/13 0:20:03 网站建设 项目流程

Test Coverage Review — PR #

【免费下载链接】ArchonThe first open-source harness builder for AI coding. Make AI coding deterministic and repeatable.项目地址: https://gitcode.com/GitHub_Trending/archon3/Archon

Summary

<1-2 sentences. Coverage: adequate / minor-gaps / significant-gaps.>

Findings

CRITICAL — bug fix without regression test

  • file:line:
    • Suggested test: <what to test, what assertion>

HIGH — new behavior without coverage

  • (same format)

MEDIUM — edge cases / error paths missing

  • (same format)

LOW — improvements

  • (same format)

Mock isolation concerns

<bullet list of any cross-test mock pollution risks, or "None.">

Notes for synthesizer

<which aspects this overlaps with — e.g., error-handling review may have flagged the same uncovered path.>

模板有几个值得注意的设计细节: 1. **每条发现必须带 `<file:line>` 定位**,并且附上具体的测试建议(测什么、断言什么),而不是笼统地说"缺测试"; 2. **Summary 只有三档结论**:`adequate` / `minor-gaps` / `significant-gaps`,给合成节点一个可以直接消费的口径; 3. **Mock isolation concerns 单独成节**:因为仓库的 `mock.module` 进程级污染问题是一个跨文件风险,需要显式列出可能污染相邻测试文件的用例,没有风险就写 "None."; 4. **Notes for synthesizer 是跨节点协作接口**:测试覆盖缺口常常与错误处理审查撞车(例如一个未被覆盖的错误路径),在这里声明重叠,合成阶段才能去重; 5. **明确的反向要求**:"If coverage is adequate, write `## Findings\n\nAdequate coverage for the changed behavior.` and stop."——如果覆盖足够,就如实说足够并停止,**不得发明缺口**。 这个模板与 `maintainer-review-synthesize` 命令([`.archon/commands/maintainer-review-synthesize.md`](https://link.gitcode.com/i/f1279ef4a0d089817df9d4dc4e1d6711))的读取约定严格对应:合成节点会读取 `review/` 目录下所有 `*-findings.md`,按严重级别跨方面聚合、去重("缺失测试的错误路径"同时出现在 error-handling 与 test-coverage 时只保留最可操作的一条),并按文件路径排序,最终产出 `synthesis.md` 与可直接贴到 PR 上的 `review-comment.md` 草稿。 ## 五、Phase 4:RETURN——单行摘要与检查点 审查结束时返回一行状态摘要:

Test-coverage review complete. CRITICAL, HIGH, MEDIUM, LOW findings. Coverage: <adequate|minor-gaps|significant-gaps>.

【免费下载链接】ArchonThe first open-source harness builder for AI coding. Make AI coding deterministic and repeatable.项目地址: https://gitcode.com/GitHub_Trending/archon3/Archon

创作声明:本文部分内容由AI辅助生成(AIGC),仅供参考

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