# AgentGangGang

> Use this tool when you need to compare and evaluate the performance of multiple AI models, such as ChatGPT, Gemini, and Perplexity, in a single browser-native workspace. It solves problems of model selection and benchmarking, providing a governed interface for integrating coding agents like Codex and Claude Code with git workflows. Ideal for use cases requiring multi-model comparison and coding agent integration, with outputs including model evaluation results and integrated code.

Canonical page: https://skillsregistry.net/skills/xiaojiou176-open-agentganggang  
JSON: https://api.skillsregistry.net/v1/skills/xiaojiou176-open-agentganggang

## Description

Compare-first, browser-native AI compare workspace for ChatGPT, Gemini, Perplexity, Qwen, and Grok, with governed coding-agent integrations for Codex and Claude Code browser workflows.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** browser-automation
- **Updated:** 2026-09-01

## Source

- **Source listing:** [GitHub](https://github.com/xiaojiou176-open/AgentGangGang)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "xiaojiou176-open-agentganggang"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xiaojiou176-open-agentganggang` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xiaojiou176-open-agentganggang/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt