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brutal-honesty-review残酷的诚实审查

Agent Skill

brutal-honesty-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

2,140

周安装

91

GitHub Stars

329

下载量

750
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:brutal-honesty-review(残酷的诚实审查)
来源仓库:https://github.com/proffesor-for-testing/agentic-qe
仓库路径:skills/brutal-honesty-review
安装命令:
npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill brutal-honesty-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 brutal-honesty-review

简介

brutal-honesty-review 提供技术审查反馈,包含 Linus、Ramsay 和 Bach 三种模式。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中对代码质量、技术标准或 hype 进行检测。
  • 针对重复错误、关键 bug 或明确请求时提供 actionable 改进建议。
  • 使用前需确认审查目标和上下文,注意攻击工作内容而非个人。
  • 建议结合原始 README 和仓库文档进一步核验具体使用方法和限制条件。

SKILL.md

Brutal Honesty Review

<default_to_action> When brutal honesty is needed:

  1. CHOOSE MODE: Linus (technical), Ramsay (standards), Bach (BS detection)
  2. VERIFY CONTEXT: Senior engineer? Repeated mistake? Critical bug? Explicit request?
  3. STRUCTURE: What's broken → Why it's wrong → What correct looks like → How to fix
  4. ATTACK THE WORK, not the worker
  5. ALWAYS provide actionable path forward

Quick Mode Selection:

  • Linus: Code is technically wrong, inefficient, misunderstands fundamentals
  • Ramsay: Quality is subpar compared to clear excellence model
  • Bach: Certifications, best practices, or vendor hype need reality check

Calibration:

  • Level 1 (Direct): "This approach is fundamentally flawed because..."
  • Level 2 (Harsh): "We've discussed this three times. Why is it back?"
  • Level 3 (Brutal): "This is negligent. You're exposing user data because..."

DO NOT USE FOR: Junior devs' first PRs, demoralized teams, public forums, low psychological safety

Minimum Findings Enforcement

All brutal honesty reviews enforce a minimum of 3 weighted findings (CRITICAL=3, HIGH=2, MEDIUM=1, LOW=0.5). If the initial review finds fewer, escalate to deeper analysis. Brutally honest reviewers should ALWAYS find something -- if you can't, explain exactly why with evidence. </default_to_action>

Quick Reference Card

When to Use

ContextAppropriate?Why
Senior engineer code review✅ YesCan handle directness, respects precision
Repeated architectural mistakes✅ YesGentle approaches failed
Security vulnerabilities✅ YesStakes too high for sugar-coating
Evaluating vendor claims✅ YesBS detection prevents expensive mistakes
Junior dev's first PR❌ NoUse constructive mentoring
Demoralized team❌ NoWill break, not motivate
Public forum❌ NoPublic humiliation destroys trust

Three Modes

ModeWhenExample Output
LinusCode technically wrong"You're holding the lock for the entire I/O. Did you test under load?"
RamsayQuality below standards"12 tests and 10 just check variables exist. Where's the business logic?"
BachBS detection needed"This cert tests memorization, not bug-finding. Who actually benefits?"

The Criticism Structure

## What's Broken
[Surgical description - specific, technical]

## Why It's Wrong
[Technical explanation, not opinion]

## What Correct Looks Like
[Clear model of excellence]

## How to Fix It
[Actionable steps, specific to context]

## Why This Matters
[Impact if not fixed]

Mode Examples

Linus Mode: Technical Precision

**Problem**: Holding database connection during HTTP call

"This is completely broken. You're holding a database connection
open while waiting for an external HTTP request. Under load, you'll
exhaust the connection pool in seconds.

Did you even test this with more than one concurrent user?

The correct approach is:
1. Fetch data from DB
2. Close connection
3. Make HTTP call
4. Open new connection if needed

This is Connection Management 101. Why wasn't this caught in review?"

Ramsay Mode: Standards-Driven Quality

**Problem**: Tests only verify happy path

"Look at this test suite. 15 tests, 14 happy path scenarios.
Where's the validation testing? Edge cases? Failure modes?

This is RAW. You're testing if code runs, not if it's correct.

Production-ready covers:
✓ Happy path (you have this)
✗ Validation failures (missing)
✗ Boundary conditions (missing)
✗ Error handling (missing)
✗ Concurrent access (missing)

You wouldn't ship code with 12% coverage. Don't merge tests
with 12% scenario coverage."

Bach Mode: BS Detection

**Problem**: ISTQB certification required for QE roles

"ISTQB tests if you memorized terminology, not if you can test software.

Real testing skills:
- Finding bugs others miss
- Designing effective strategies for context
- Communicating risk to stakeholders

ISTQB tests:
- Definitions of 'alpha' vs 'beta' testing
- Names of techniques you'll never use
- V-model terminology

If ISTQB helped testers, companies with certified teams would ship
higher quality. They don't."

Assessment Rubrics

Code Quality (Linus Mode)

CriteriaFailingPassingExcellent
CorrectnessWrong algorithmWorks in tested casesProven across edge cases
PerformanceNaive O(n²)Acceptable complexityOptimal + profiled
Error HandlingCrashes on invalidReturns error codesGraceful degradation
TestabilityImpossible to testCan mockSelf-testing design

Test Quality (Ramsay Mode)

CriteriaRawAcceptableMichelin Star
Coverage<50% branch80%+ branch95%+ mutation tested
Edge CasesOnly happy pathCommon failuresBoundary analysis complete
StabilityFlaky (>1% failure)Stable but slowDeterministic + fast

BS Detection (Bach Mode)

Red FlagEvidenceImpact
Cargo Cult Practice"Best practice" with no contextWasted effort
Certification TheaterRequired cert unrelated to skillsFilters out thinkers
Vendor Lock-InTool solves problem it createdExpensive dependency

Agent Integration

// Brutal honesty code review
await Task("Code Review", {
  code: pullRequestDiff,
  mode: 'linus',  // or 'ramsay', 'bach'
  calibration: 'direct',  // or 'harsh', 'brutal'
  requireActionable: true
}, "qe-code-reviewer");

// BS detection for vendor claims
await Task("Vendor Evaluation", {
  claims: vendorMarketingClaims,
  mode: 'bach',
  requireEvidence: true
}, "qe-quality-gate");

Agent Coordination Hints

Memory Namespace

aqe/brutal-honesty/
├── code-reviews/*     - Technical review findings
├── bs-detection/*     - Vendor/cert evaluations
└── calibration/*      - Context-appropriate levels

Fleet Coordination

const reviewFleet = await FleetManager.coordinate({
  strategy: 'brutal-review',
  agents: [
    'qe-code-reviewer',    // Technical precision
    'qe-security-auditor', // Security brutality
    'qe-quality-gate'      // Standards enforcement
  ],
  topology: 'parallel'
});

Related Skills


Remember

Brutal honesty eliminates ambiguity but has costs. Use sparingly, only when necessary, and always provide actionable paths forward. Attack the work, never the worker.

The Brutal Honesty Contract: Get explicit consent. "I'm going to give unfiltered technical feedback. This will be direct, possibly harsh. The goal is clarity, not cruelty."

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

29.94%
按下载量换算225

github-copilot

21.85%
按下载量换算164

Codex

17.42%
按下载量换算131

OpenCode

10.85%
按下载量换算81

Gemini CLI

7.56%
按下载量换算57

Antigravity

3.12%
按下载量换算23

安全审计

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权限和风险

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安装前确认

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