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Agent Skill · 研究检索

qe-sherlock-review(qe 神探夏洛克评论)

qe-sherlock-review 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。

qe-sherlock-review 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,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 43,044。

总安装 1,018周安装 42GitHub Stars 329下载 333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:qe-sherlock-review(qe 神探夏洛克评论)
来源仓库:https://github.com/proffesor-for-testing/agentic-qe
仓库路径:skills/qe-sherlock-review
安装命令:
npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill qe-sherlock-review
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/proffesor-for-testing/agentic-qe --skill qe-sherlock-review

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。qe-sherlock-review 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合在关键词、任务场景或来源线索下快速定位候选结果。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、维护状态及是否触发联网或文件读写。

注意是否会执行命令或访问敏感数据,确保操作边界清晰。

来源仓库内路径:skills/qe-sherlock-review

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/proffesor-for-testing/agentic-qe --skill qe-sh…;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

    它需要需要联网,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

qe-sherlock-review 怎么安装?

在终端执行 npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill qe-sherlock-rev…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

qe-sherlock-review 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。

qe-sherlock-review 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

qe-sherlock-review 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。

qe-sherlock-review 用的人多吗?

公开数据是累计安装 1,018 次,近一周安装 42 次,下载 333 次,GitHub 329 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。

qe-sherlock-review 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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
qe-sherlock-review

qe 神探夏洛克评论 · 本页

1,018329需要联网未明确通过

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

Sherlock Review

<default_to_action> When investigating code claims:

  1. OBSERVE: Gather all evidence (code, tests, history, behavior)
  2. DEDUCE: What does evidence actually show vs. what was claimed?
  3. ELIMINATE: Rule out what cannot be true
  4. CONCLUDE: Does evidence support the claim?
  5. DOCUMENT: Findings with proof, not assumptions

The 3-Step Investigation:

# 1. OBSERVE: Gather evidence
git diff <commit>
npm test -- --coverage

# 2. DEDUCE: Compare claim vs reality
# Does code match description?
# Do tests prove the fix/feature?

# 3. CONCLUDE: Verdict with evidence
# SUPPORTED / PARTIALLY SUPPORTED / NOT SUPPORTED

Holmesian Principles:

  • "Data! Data! Data!" - Collect before concluding
  • "Eliminate the impossible" - What cannot be true?
  • "You see, but do not observe" - Run code, don't just read
  • Trust only reproducible evidence </default_to_action>

Quick Reference Card

Evidence Collection Checklist

CategoryWhat to CheckHow
ClaimPR description, commit messagesRead thoroughly
CodeActual file changesgit diff
TestsCoverage, assertionsRun independently
BehaviorRuntime outputExecute locally
TimelineWhen things happenedgit log, git blame

Verdict Levels

VerdictMeaning
✓ TRUEEvidence fully supports claim
⚠ PARTIALLY TRUEClaim accurate but incomplete
✗ FALSEEvidence contradicts claim
? NONSENSICALClaim doesn't apply to context

Investigation Template

## Sherlock Investigation: [Claim]

### The Claim
"[What PR/commit claims to do]"

### Evidence Examined
- Code changes: [files, lines]
- Tests added: [count, coverage]
- Behavior observed: [what actually happens]

### Deductive Analysis

**Claim**: [specific assertion]
**Evidence**: [what you found]
**Deduction**: [logical conclusion]
**Verdict**: ✓/⚠/✗

### Findings
- What works: [with evidence]
- What doesn't: [with evidence]
- What's missing: [gaps in implementation/testing]

### Recommendations
1. [Action based on findings]

Investigation Scenarios

Scenario 1: "This Fixed the Bug"

Steps:

  1. Reproduce bug on commit before fix
  2. Verify bug is gone on commit with fix
  3. Check if fix addresses root cause or symptom
  4. Test edge cases not in original report

Red Flags:

  • Fix that just removes error logging
  • Works only for specific test case
  • Workarounds instead of root cause fix
  • No regression test added

Scenario 2: "Improved Performance by 50%"

Steps:

  1. Run benchmark on baseline commit
  2. Run same benchmark on optimized commit
  3. Compare in identical conditions
  4. Verify measurement methodology

Red Flags:

  • Tested only on toy data
  • Different comparison conditions
  • Trade-offs not mentioned

Scenario 3: "Handles All Edge Cases"

Steps:

  1. List all edge cases in code path
  2. Check each has test coverage
  3. Test boundary conditions
  4. Verify error handling paths

Red Flags:

  • catch {} swallowing errors
  • Generic error messages
  • No logging of critical errors

Example Investigation

## Case: PR #123 "Fix race condition in async handler"

### Claims Examined:
1. "Eliminates race condition"
2. "Adds mutex locking"
3. "100% thread safe"

### Evidence:
- File: src/handlers/async-handler.js
- Changes: Added `async/await`, removed callbacks
- Tests: 2 new tests for async flow
- Coverage: 85% (was 75%)

### Analysis:

**Claim 1: "Eliminates race condition"**
Evidence: Added `await` to sequential operations. No actual mutex.
Deduction: Race avoided by removing concurrency, not synchronization.
Verdict: ⚠ PARTIALLY TRUE (solved differently than claimed)

**Claim 2: "Adds mutex locking"**
Evidence: No mutex library, no lock variables, no sync primitives.
Verdict: ✗ FALSE

**Claim 3: "100% thread safe"**
Evidence: JavaScript is single-threaded. No worker threads used.
Verdict: ? NONSENSICAL (meaningless in this context)

### Conclusion:
Fix works but not for reasons claimed. Race condition avoided by
making operations sequential, not by adding synchronization.

### Recommendations:
1. Update PR description to accurately reflect solution
2. Add test for concurrent request handling
3. Remove incorrect technical claims

Agent Integration

// Evidence-based code review
await Task("Sherlock Review", {
  prNumber: 123,
  claims: [
    "Fixes memory leak",
    "Improves performance 30%"
  ],
  verifyReproduction: true,
  testEdgeCases: true
}, "qe-code-reviewer");

// Bug fix verification
await Task("Verify Fix", {
  bugCommit: 'abc123',
  fixCommit: 'def456',
  reproductionSteps: steps,
  testBoundaryConditions: true
}, "qe-code-reviewer");

Agent Coordination Hints

Memory Namespace

aqe/sherlock/
├── investigations/*   - Investigation reports
├── evidence/*         - Collected evidence
├── verdicts/*         - Claim verdicts
└── patterns/*         - Common deception patterns

Fleet Coordination

const investigationFleet = await FleetManager.coordinate({
  strategy: 'evidence-investigation',
  agents: [
    'qe-code-reviewer',        // Code analysis
    'qe-security-auditor',     // Security claim verification
    'qe-performance-validator' // Performance claim verification
  ],
  topology: 'parallel'
});

Related Skills


Remember

"It is a capital mistake to theorize before one has data." Trust only reproducible evidence. Don't trust commit messages, documentation, or "works on my machine."

The Sherlock Standard: Every claim must be verified empirically. What does the evidence actually show?

平台分布

Codex

32.85%
按下载量换算109

Claude

31.81%
按下载量换算106

Cursor

20.51%
按下载量换算68

Gemini CLI

9.02%
按下载量换算30

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。目前只有一个公开来源,建议同时核对源仓库。

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