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sherlock-review夏洛克评论

Agent Skill

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。

总安装

1,770

周安装

73

GitHub Stars

329

下载量

578
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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:sherlock-review(夏洛克评论)
来源仓库:https://github.com/proffesor-for-testing/agentic-qe
仓库路径:skills/sherlock-review
安装命令:
npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill 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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill sherlock-review

简介

用于查找、检索和筛选相关信息,支持关键词匹配和线索定位。

  • 适合在开发中快速获取候选方案或技术资料。sherlock-review 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 可结合来源仓库和 README 进一步核验具体实现方式。
  • 安装前应确认是否会触发联网、命令执行或文件读写操作。
  • 注意权限范围和仓库维护状态,避免误用或安全风险。

SKILL.md

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]

Minimum Findings Enforcement

Every investigation MUST surface at least 3 weighted observations (CRITICAL=3, HIGH=2, MEDIUM=1, LOW=0.5). Elementary observations count at INFORMATIONAL=0.25 weight. A Sherlock investigation that finds nothing is a failed investigation -- Holmes always finds clues.


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?

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

25.89%
按下载量换算150

Gemini CLI

25.41%
按下载量换算147

Antigravity

17.66%
按下载量换算102

windsurf

11.24%
按下载量换算65

github-copilot

8.77%
按下载量换算51

Codex

3.5%
按下载量换算20

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。

来源信息

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