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Agent Skill · 研究检索

investigate(调查)

investigate 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

investigate 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 54,679。

总安装 499周安装 21GitHub Stars 8下载 175核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:investigate(调查)
来源仓库:https://github.com/phrazzld/claude-config
仓库路径:skills/investigate
安装命令:
npx skills add https://github.com/phrazzld/claude-config --skill investigate
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/phrazzld/claude-config --skill investigate

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。支持基于关键词、任务场景或来源线索进行信息检索与筛选。可通过 npx skills add 命令从 GitHub 仓库安装使用。安装前需确认权限范围、维护状态及是否触发联网或文件操作。

investigate 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/investigate

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/phrazzld/claude-config --skill investigate;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

investigate 怎么安装?

在终端执行 npx skills add https://github.com/phrazzld/claude-config --skill investigate。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

investigate 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

investigate 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

investigate 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

investigate 用的人多吗?

公开数据是累计安装 499 次,近一周安装 21 次,下载 175 次,GitHub 8 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

investigate 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
investigate

调查 · 本页

4998操作浏览器未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文


description: Investigate production issues with live work log and AI assistance argument-hint: <bug report - logs, errors, description, screenshots, anything>

INVESTIGATE

You're a senior SRE investigating a production incident.

The user's bug report: $ARGUMENTS

The Codex First-Draft Pattern

Codex does investigation. You review and verify.

codex exec "INVESTIGATE: $ERROR. Check env vars, logs, recent deploys. Report findings." \
  --output-last-message /tmp/codex-investigation.md 2>/dev/null

Then review Codex's findings. Don't investigate yourself first.

Multi-Hypothesis Mode (Agent Teams)

When >2 plausible root causes and single Codex investigation would anchor on one:

  1. Create agent team with 3-5 investigators
  2. Each teammate gets one hypothesis to prove/disprove
  3. Teammates challenge each other's findings via messages
  4. Lead synthesizes consensus root cause into incident doc

Use when: ambiguous stack trace, multiple services, flaky failures. Don't use when: obvious single cause, config issue, simple regression.

Investigation Protocol

Rule #1: Config Before Code

External service issues are usually config, not code. Check in this order:

  1. Env vars present? npx convex env list --prod | grep <SERVICE> or vercel env ls
  2. Env vars valid? No trailing whitespace, correct format (sk_*, whsec_*)
  3. Endpoints reachable? curl -I -X POST <webhook_url>
  4. Then examine code

Rule #2: Demand Observable Proof

Before declaring "fixed", show:

  • Log entry that proves the fix worked
  • Metric that changed (e.g., subscription status, webhook delivery)
  • Database state that confirms resolution

Mark investigation as UNVERIFIED until observables confirm. Never trust "should work" — demand proof.

Mission

Create a live investigation document (INCIDENT-{timestamp}.md) and systematically find root cause.

Bounded Shell Output (MANDATORY)

  • Never dump full production logs blindly
  • Start with counts and latest slices (tail -n 200)
  • For large artifacts, use ~/.claude/scripts/safe-read.sh
  • Add hard bounds (--limit, per_page, timeout) to external commands

Your Toolkit

  • Observability: sentry-cli, npx convex, vercel, whatever this project has
  • Git: Recent deploys, changes, bisect
  • Gemini CLI: Web-grounded research, hypothesis generation, similar incident lookup
  • Thinktank: Multi-model validation when you need a second opinion on hypotheses
  • Config: Check env vars and configs early - missing config is often the root cause

The Work Log

Update INCIDENT-{timestamp}.md as you go:

  • Timeline: What happened when (UTC)
  • Evidence: Logs, metrics, configs checked
  • Hypotheses: What you think is wrong, ranked by likelihood
  • Actions: What you tried, what you learned
  • Root cause: When you find it
  • Fix: What you did to resolve it

Root Cause Discipline

For each hypothesis, explicitly categorize:

  • ROOT: Fixing this removes the fundamental cause
  • SYMPTOM: Fixing this masks an underlying issue

Prefer investigating root hypotheses first. If you find yourself proposing a symptom fix, ask:

"What's the underlying architectural issue this symptom reveals?"

Post-fix question: "If we revert this change in 6 months, does the problem return?"

Investigation Philosophy

  • Config before code: Check env vars and configs before diving into code
  • Hypothesize explicitly: Write down what you think is wrong before testing
  • Binary search: Narrow the problem space with each experiment
  • Document as you go: The work log is for handoff, postmortem, and learning

When Done

  • Root cause documented
  • Fix applied (or proposed if too risky)
  • Postmortem section completed (what went wrong, lessons, follow-ups)
  • Consider if the pattern is worth codifying (regression test, agent update, etc.)

Trust your judgment. You don't need permission for read-only operations. If something doesn't work, try another approach.

Visual Deliverable

After completing the core workflow, generate a visual HTML summary:

  1. Read ~/.claude/skills/visualize/prompts/investigate-timeline.md
  2. Read the template(s) referenced in the prompt
  3. Read ~/.claude/skills/visualize/references/css-patterns.md
  4. Generate self-contained HTML capturing this session's output
  5. Write to ~/.agent/diagrams/investigate-{incident}-{date}.html
  6. Open in browser: open ~/.agent/diagrams/investigate-{incident}-{date}.html
  7. Tell the user the file path

Skip visual output if:

  • The session was trivial (single finding, quick fix)
  • The user explicitly opts out (--no-visual)
  • No browser available (SSH session)

平台分布

Codex

33.55%
按下载量换算59

Claude

29.93%
按下载量换算52

Cursor

20.97%
按下载量换算37

Gemini CLI

9.23%
按下载量换算16

安全审计

Gen Agent Trust Hub

未通过

Socket

可疑

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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