Incident Investigate vs cli creator vs everything-claude-code-conventions
Side-by-side comparison· 把候选放在一起看更容易选
| Editor's Pick· 编辑首选 Incident Investigate | cli creator | everything-claude-code-conventions | |
|---|---|---|---|
| Rank· 排名 | #1Editor's Pick · 编辑首选 | #2 | #3 |
| In a sentence· 一句话 | No fixes until the cause is real. 原因还没坐实之前，不急着修。 | cli creator: agent skill — from openai/skills. | Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits. |
| Editor rating· 编辑评分 | |||
| Stars· 星标数 | 10k | 19k | 187k |
| Platforms· 运行平台 | CodexClaude Codelocal terminals | Claude CodeCodex | Claude CodeCodex |
| Risk· 风险 | Low risk · 低风险 | Low risk · 低风险 | Medium risk · 中风险 |
| Author· 作者 | |||
| Updated· 最近更新 | 2026-04-19 | 2026-05-16 | 2026-05-19 |
| Why pick this· 为什么选它 | Best for incidents where the fastest reflex would be the wrong fix. Forces an evidence-before-action loop: collect logs, list candidate hypotheses, verify each, only then propose a change. Pays for itself the moment it catches the kind of incident where "just restart it" would have masked a real data-integrity problem. Skip it for obviously cosmetic regressions — the cost of slowing down outweighs the cost of a re-deploy there. 在那种「第一反应反而是错的」事故里它最有用。强制走「证据—假设—验证—再动手」的顺序：先收集日志，列出候选假设，逐个验证，最后才提修复方案。只要救下一次本该用「重启就好」掩盖掉的真实数据完整性问题，回报就够了。但纯样式回归就别用它了，等回滚比慢思考更划算。 | Best when you want to package an existing workflow as a CLI tool other people on the team can actually invoke. Handles argument parsing, help-text generation, exit-code conventions, and basic config-file scaffolding from a workflow description. Skip it for one-off scripts you'll run twice; the CLI boilerplate doesn't pay off below roughly 10 invocations. 想把已有工作流打包成团队其他人能调起来的 CLI 工具时，它最合适。从一段工作流描述就能搞定参数解析、help 文档、退出码约定、配置文件骨架。一次性脚本别用它，跑 10 次以下 CLI 的样板成本回不来。 | Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits. |
| Why skip· 为什么不选 | Quick cosmetic fixes 快速样式修补 | Workflows that require stronger human review than this catalog entry documents. 需要比当前目录条目更严格人工复核的工作流。 | Workflows that require stronger human review than this catalog entry documents. 需要比当前目录条目更严格人工复核的工作流。 |
| Install· 安装命令 | $codex /investigate | $ | $ |
If you can only install one如果你只能装一个
Best for incidents where the fastest reflex would be the wrong fix. Forces an evidence-before-action loop: collect logs, list candidate hypotheses, verify each, only then propose a change. Pays for itself the moment it catches the kind of incident where "just restart it" would have masked a real data-integrity problem. Skip it for obviously cosmetic regressions — the cost of slowing down outweighs the cost of a re-deploy there.
在那种「第一反应反而是错的」事故里它最有用。强制走「证据—假设—验证—再动手」的顺序：先收集日志，列出候选假设，逐个验证，最后才提修复方案。只要救下一次本该用「重启就好」掩盖掉的真实数据完整性问题，回报就够了。但纯样式回归就别用它了，等回滚比慢思考更划算。
Larger teams with stricter security: combine the picks above; their coverage complements rather than overlaps.团队大、安全要求高？把首选和其它候选搭配使用——它们覆盖互补而不是替代。