# AgentForge

> AgentForge — umer-3085-agentforge. Use this tool when you need to automate code review and development with multiple AI agents collaborating to produce high-quality, production-ready code from requirements. AgentForge solves problems of inefficient manual code review, testing, and documentation by providing a unified system for writing, auditing, and testing code. It takes in requirements as input and outputs fully documented and tested code, integrating with git for seamless version control.

Canonical page: https://skillsregistry.net/skills/umer-3085-agentforge  
JSON: https://api.skillsregistry.net/v1/skills/umer-3085-agentforge

## Description

Multi-agent code review system: 5 AI agents collaborate to write, audit, test & document production-ready code from requirements. Built for Kaggle AI Agents Capstone 2026.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Umer-3085/AgentForge)

## 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": "umer-3085-agentforge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/umer-3085-agentforge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/umer-3085-agentforge/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