# adversarial-spec

The plugin sends a product spec through repeated critique from several AI models, with Claude contributing its own review. Use it to work through requirements before a document is final.

- plugin · `type=plugin` · Claude Code · ★ 557
- Author: zscole
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/zscole/adversarial-spec
- Updated: 2026-01-22
- HTML: https://affpapa.org/en/nevibecode/plugins/adversarial-spec

## What it does

Give the plugin a product idea or an existing document. Claude drafts a PRD or technical spec, then connected models review it in parallel. Claude adds an independent critique, combines the feedback and revises the document; this continues until Claude and the models agree. You can request changes during the final review or run more debate rounds.

An optional interview mode helps gather requirements before drafting. Providers include OpenAI, Google and OpenRouter, and model calls can also go through AWS Bedrock. Setup requires Python 3.10+, the `litellm` package and an API key for at least one model provider. Without a provider key, the plugin cannot call external models.

## Install

### Claude Code (native platform)

**Plugin marketplace**
In the agent chat (not a shell):
```text
/plugin marketplace add anthropics/claude-plugins-community
```
In the agent chat (not a shell):
```text
/plugin install adversarial-spec@claude-community
```

## When to use it
- draft a PRD from a product idea
- spot gaps in an existing specification
- challenge assumptions and surface edge cases
- combine feedback from multiple models into one document

## Example prompts
- Draft a technical spec for a Redis-backed rate limiter and have several models review it: `/adversarial-spec "Build a rate limiter service with Redis backend"`
- Interview me to gather product requirements, then prepare a PRD.
- Review this specification with multiple models and revise it until they agree.

## Source text · SKILL.md · MIT

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````text
# adversarial-spec

A Claude Code plugin that iteratively refines product specifications through multi-model debate until consensus is reached.

**Key insight:** A single LLM reviewing a spec will miss things. Multiple LLMs debating a spec will catch gaps, challenge assumptions, and surface edge cases that any one model would overlook. The result is a document that has survived rigorous adversarial review.

**Claude is an active participant**, not just an orchestrator. Claude provides independent critiques, challenges opponent models, and contributes substantive improvements alongside external models.

## Quick Start

```bash
# 1. Add the marketplace and install the plugin
claude plugin marketplace add zscole/adversarial-spec
claude plugin install adversarial-spec

# 2. Set at least one API key
export OPENAI_API_KEY="sk-..."
# Or use OpenRouter for access to multiple providers with one key
export OPENROUTER_API_KEY="sk-or-..."

# 3. Run it
/adversarial-spec "Build a rate limiter service with Redis backend"
```

## How It Works

```
You describe product --> Claude drafts spec --> Multiple LLMs critique in parallel
        |                                              |
        |                                              v
        |                              Claude synthesizes + adds own critique
        |                                              |
        |                                              v
        |                              Revise and repeat until ALL agree
        |                                              |
        +--------------------------------------------->|
                                                       v
                                            User review period
                                                       |
                                                       v
                                            Final document output
```

1. Describe your product concept or provide an existing document
2. (Optional) Start with an in-depth interview to capture requirements
3. Claude drafts the initial document (PRD or tech spec)
4. Document is sent to opponent models (GPT, Gemini, Grok, etc.) for parallel critique
5. Claude provides independent critique alongside opponent feedback
6. Claude synthesizes all feedback and revises
7. Loop continues until ALL models AND Claude agree
8. User review period: request changes or run additional cycles
9. Final converged document is output

## Requirements

- Python 3.10+
- `litellm` package: `pip install litellm`
- API key for at least one LLM provider

## Supported Models

| Provider   | Env Var                | Example Models                               |
|------------|------------------------|----------------------------------------------|
| OpenAI     | `OPENAI_API_KEY`       | `gpt-4o`, `gpt-4-turbo`, `o1`                |
| Anthropic  | `ANTHROPIC_API_KEY`    | `claude-sonnet-4-20250514`, `claude-opus-4-20250514` |
| Google     | `GEMINI_API_KEY`       | `gemini/gemini-2.0-flash`, `gemini/gemini-pro` |
| xAI        | `XAI_API_KEY`          | `xai/grok-3`, `xai/grok-beta`                |
| Mistral    | `MISTRAL_API_KEY`      | `mistral/mistral-large`, `mistral/codestral` |
| Groq       | `GROQ_API_KEY`         | `groq/llama-3.3-70b-versatile`               |
| OpenRouter | `OPENROUTER_API_KEY`   | `openrouter/openai/gpt-4o`, `openrouter/anthropic/claude-3.5-sonnet` |
| Codex CLI  | ChatGPT subscription   | `codex/gpt-5.2-codex`, `codex/gpt-5.1-codex-max` |
| Gemini CLI | Google account         | `gemini-cli/gemini-3-pro-preview`, `gemini-cli/gemini-3-flash-preview` |
| Deepseek   | `DEEPSEEK_API_KEY`     | `deepseek/deepseek-chat`                     |
| Zhipu      | `ZHIPUAI_API_KEY`      | `zhipu/glm-4`, `zhipu/glm-4-plus`            |

Check which keys are configured:

```bash
python3 "$(find ~/.claude -name debate.py -path '*adversarial-spec*' 2>/dev/null | head -1)" providers
```

## AWS Bedrock Support
````
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First 3985 of 20186 bytes. © zscole · MIT · https://github.com/zscole/adversarial-spec

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