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Agent Skill · 研究检索

devils-advocate(魔鬼代言人)

devils-advocate 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。

devils-advocate 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,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 45,000。

总安装 879周安装 37GitHub Stars 1下载 308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:devils-advocate(魔鬼代言人)
来源仓库:https://github.com/wojons/skills
仓库路径:skills/devils-advocate
安装命令:
npx skills add https://github.com/wojons/skills --skill devils-advocate
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/wojons/skills --skill devils-advocate

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。

devils-advocate 用于查找、检索和筛选相关信息,支持关键词匹配。适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。通过 npx skills add 命令从指定仓库安装,需结合原始 README 核验用法。

安装前建议确认权限范围、维护状态,以及是否会触发联网或文件操作。注意该技能当前无底部简介,实际能力依赖仓库内实现。

来源仓库内路径:skills/devils-advocate

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/wojons/skills --skill devils-advocate;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

devils-advocate 怎么安装?

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

devils-advocate 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。

devils-advocate 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。

devils-advocate 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。

devils-advocate 用的人多吗?

公开数据是累计安装 879 次,近一周安装 37 次,下载 308 次,GitHub 1 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。

devils-advocate 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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
devils-advocate

魔鬼代言人 · 本页

8791需要联网未明确有提醒

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

Devil's Advocate

Systematically challenge ideas, assumptions, designs, and decisions by playing devil's advocate to identify weaknesses, blind spots, and alternative perspectives before committing to a course of action.

When to use me

Use this skill when:

  • A team seems to be converging on a solution without debate
  • Important decisions are being made based on consensus rather than evidence
  • You need to stress-test ideas before implementation
  • Identifying potential failure modes and risks
  • Preventing groupthink and confirmation bias
  • Evaluating multiple alternatives before choosing
  • Preparing for stakeholder challenges or objections
  • Building resilience against criticism and failure

What I do

1. Argument Deconstruction

  • Identify core claims and assumptions in proposals, designs, or decisions
  • Analyze supporting evidence for strength, relevance, and reliability
  • Map logical connections between premises and conclusions
  • Detect rhetorical fallacies and cognitive biases in reasoning
  • Surface implicit beliefs that aren't explicitly stated

2. Counterargument Generation

  • Generate alternative explanations for the same evidence
  • Propose competing hypotheses that could also be true
  • Identify contradictory data or opposing viewpoints
  • Suggest different interpretations of facts and findings
  • Construct "what if" scenarios where current thinking is wrong

3. Weakness Identification

  • Find logical gaps in arguments and reasoning
  • Identify unexamined risks and potential failure modes
  • Spot overconfidence in predictions or estimates
  • Detect oversimplification of complex problems
  • Recognize missing perspectives or stakeholder views

4. Alternative Perspective Exploration

  • Adopt different stakeholder viewpoints (users, customers, regulators, competitors)
  • Consider opposite positions on controversial issues
  • Explore edge cases and boundary conditions
  • Apply different mental models or frameworks
  • Question fundamental premises rather than just conclusions

Devil's Advocate Techniques

For Technical Decisions:

  • Challenge technology choices: "What if this framework becomes unmaintained?"
  • Question architecture decisions: "How does this handle ten times the expected load?"
  • Probe security assumptions: "What attack vectors are we not considering?"
  • Test scalability claims: "What breaks first under stress?"
  • Examine dependency risks: "What happens if this third-party service changes?"

For Product/Feature Decisions:

  • Challenge user assumptions: "What if users don't behave as we expect?"
  • Question market fit: "What evidence contradicts our market assumptions?"
  • Probe value propositions: "Why would customers choose alternatives?"
  • Test business models: "What assumptions make this revenue model fail?"
  • Examine competitive threats: "How could competitors easily undermine this?"

For Process/Operational Decisions:

  • Challenge workflow efficiency: "What makes this process fragile?"
  • Question measurement validity: "Are we measuring the right things?"
  • Probe team dynamics: "What interpersonal issues could derail this?"
  • Test communication plans: "Where could misunderstandings occur?"
  • Examine incentive alignment: "What perverse incentives does this create?"

Examples

# Challenge a technical design decision
npm run devils-advocate:challenge -- --decision "use-microservices" --context "ecommerce-platform"

# Test a product assumption
npm run devils-advocate:test -- --assumption "users-want-mobile-app" --data "user-research.json"

# Identify weaknesses in a proposal
npm run devils-advocate:weaknesses -- --proposal "architecture-redesign.pdf" --perspective "security"

# Generate counterarguments for a business case
npm run devils-advocate:counterarguments -- --business-case "expand-to-europe.md" --stakeholder "competitor"

# Comprehensive devil's advocate review
npm run devils-advocate:review -- --document "project-plan.md" --thoroughness high

Output format

Devil's Advocate Analysis
──────────────────────────────
Subject: Microservices Architecture Proposal
Date: 2026-02-26
Analysis Duration: 45 minutes

Core Claims Identified:
1. "Microservices will improve development velocity by 40%"
2. "Team autonomy will increase with bounded contexts"
3. "System will be more resilient to failures"
4. "Scaling will be more efficient and cost-effective"
5. "Technology diversity will enable better tool selection"

Argument Analysis:

1. Claim: "Microservices improve development velocity by 40%"
   Supporting Evidence: Case studies from other companies

   Devil's Advocate Challenges:
   - Case studies may not apply to our context (different scale, team structure)
   - 40% improvement assumes optimal implementation and mature DevOps
   - Velocity gains may be offset by coordination overhead
   - Microservices introduce new failure modes (network, versioning, data consistency)
   - Learning curve could reduce velocity initially

   Alternative Explanation:
   The perceived velocity improvement may come from better practices
   (CI/CD, testing) that could be applied to monoliths too.

2. Claim: "Team autonomy increases with bounded contexts"
   Supporting Evidence: Conway's Law, team structure diagrams

   Devil's Advocate Challenges:
   - Bounded contexts require clear domain boundaries (do we have them?)
   - Teams need new skills (distributed systems, SRE practices)
   - Increased autonomy may lead to inconsistent standards
   - Cross-team coordination becomes more formal and slower
   - Some domains naturally span multiple services

   Alternative Perspective:
   Monolith with modular architecture might provide similar autonomy benefits
   without operational complexity.

3. Claim: "System more resilient to failures"
   Supporting Evidence: Failure isolation diagrams, redundancy claims

   Devil's Advocate Challenges:
   - Distributed systems have MORE failure modes (network partitions, service discovery)
   - Resilience requires sophisticated infrastructure (circuit breakers, retries, fallbacks)
   - Debugging failures across services is harder
   - Data consistency becomes a major challenge
   - Cascading failures possible if dependencies not managed

   Contradictory Evidence:
   Many companies report increased operational complexity and failure rates
   after microservices adoption without proper preparation.

Risk Assessment:
- High Risk: Data consistency across services
- Medium Risk: Operational complexity overwhelming team
- Medium Risk: Cross-team coordination overhead
- Low Risk: Technology choice limitations

Alternative Approaches Worth Considering:
1. Modular monolith with clear internal boundaries
2. Start with coarse-grained services, refine later
3. Hybrid approach: monolith for core domain, services for edge functions
4. Focus on DevOps maturity first, then evaluate service boundaries

Critical Questions Unanswered:
1. What specific metrics will measure "improved velocity"?
2. How will we handle distributed transactions?
3. What is the rollback plan if microservices don't deliver value?
4. How will team structure change to support service ownership?
5. What monitoring and observability investments are needed?

Recommendations:
1. Pilot with one non-critical service first
2. Define clear success metrics before proceeding
3. Invest in foundational capabilities (monitoring, deployment, testing)
4. Consider evolutionary architecture rather than big-bang rewrite
5. Document assumptions and revisit after 3 months

Analysis Value:
- Weaknesses identified: 8 significant, 3 critical
- Alternative perspectives generated: 5 viable alternatives
- Assumptions challenged: 12 core assumptions
- Risk areas highlighted: 3 high-risk areas needing mitigation
- Decision quality improvement: High (prevents potential costly mistake)

Notes

  • Devil's advocate is a role, not a personality – it's temporary and purposeful
  • The goal is better decisions, not winning arguments or blocking progress
  • Balance skepticism with constructive alternatives
  • Document challenges and responses for future reference
  • Use devil's advocate selectively for important decisions, not every discussion
  • The most valuable challenges are those that are hardest to answer
  • Pair devil's advocate with other perspectives for balanced analysis
  • Time-box devil's advocate analysis to prevent analysis paralysis
  • Focus on substance, not style – challenge ideas, not people
  • The best devil's advocate questions are those that make everyone think differently

平台分布

Codex

34.13%
按下载量换算105

Claude

32.87%
按下载量换算101

Cursor

16.97%
按下载量换算52

Gemini CLI

9.1%
按下载量换算28

安全审计

Gen Agent Trust Hub

可疑

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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