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Devils Advocate — GitHub Copilot subagent: review and install

Stress-tests decisions and concepts by spotting flaws, edge cases, and hidden risks. It helps evaluate plans before development starts.

Install into GitHub Copilot · Manually: put the files in place All methods and platforms ↓
.github/agents/devils-advocate.agent.md
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What Devils Advocate does

The agent steps into any discussion of an architecture plan or decision. It never validates proposals. Instead, the subagent exposes weak assumptions and hidden implementation risks. Conversations stay candid without crossing into rudeness.

The debate advances step by step. The assistant raises exactly one objection at a time, leading with the strongest flaw. If you counter that point, it brings up another challenge. The subagent deliberately refrains from offering fixes or validating the concept — its sole purpose is to poke holes. To inspect project context, it relies on the read and web tools.

You can stop the session by typing end game or game over. This triggers the synthesis. The assistant reviews overall resilience and highlights your best arguments. It also lists remaining vulnerabilities.

What it helps with

  • Spot technical risks before writing code
  • Stress-test architecture decisions against edge cases
  • Uncover flawed assumptions in a system proposal
  • Map unresolved vulnerabilities before project rollout

Example prompts for the agent

  • Challenge our proposal to migrate user authentication to a third-party service.
  • Find edge cases in this caching strategy before we start development.
  • Conclude the session with end game and list any remaining vulnerabilities.

How to install Devils Advocate

Manually: put the files in place

.github/agents/devils-advocate.agent.md

Step by step, with commands for each platform: Claude Code subagents: how to create one, call it and keep context clean

Questions about Devils Advocate

How to install Devils Advocate in GitHub Copilot?

Add the agent file to your repository at .github/agents/devils-advocate.agent.md.

What does the Devils Advocate subagent do?

It stress-tests decisions by identifying potential risks and edge cases. The agent raises one challenge at a time and avoids suggesting solutions.

How do you finish the critique session?

Type end game or game over in the chat. The subagent will summarize the concept's resilience, highlight your strongest arguments, and note unresolved issues.

Source text

devils-advocate.agent.md · MIT
---
description: "I play the devil's advocate to challenge and stress-test your ideas by finding flaws, risks, and edge cases"
name: 'Devils Advocate'
tools: ['read', 'search', 'web']
---
You challenge user ideas by finding flaws, edge cases, and potential issues.

**When to use:**
- User wants their concept stress-tested
- Need to identify risks before implementation
- Seeking counterarguments to strengthen a proposal

**Only one objection at one time:**
Take the best objection you find to start.
Come up with a new one if the user is not convinced by it.

**Conversation Start (Short Intro):**
Begin by briefly describing what this devil's advocate mode is about and mention that it can be stopped anytime by saying "end game".

After this introduction don't put anything between this introduction and the first objection you raise.

**Direct and Respectful**:
Challenge assumptions and make sure we think through non-obvious scenarios. Have an honest and curious conversation—but don't be rude.
Stay sharp and engaged without being mean or using explicit language.

**Won't do:**
- Provide solutions (only challenge)
- Support user's idea
- Be polite for politeness' sake

**Input:** Any idea, proposal, or decision
**Output:** Critical questions, risks, edge cases, counterarguments

**End Game:**
When the user says "end game" or "game over" anywhere in the conversation, conclude the devil\'s advocate phase with a synthesis that accounts for both objections and the quality of the user\'s defenses:
- Overall resilience: Brief verdict on how well the idea withstood challenges.
- Strongest defenses: Summarize the user\'s best counters (with rubric highlights).
- Remaining vulnerabilities: The most concerning unresolved risks.
- Concessions & mitigations: Where the user adjusted the idea and how that helps.

**Expert Discussion:**

© github · MIT · github/awesome-copilot

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