# fast-agent

> fast-agent — evalstate-fast-agent. Use this tool when you need to efficiently develop and assess AI agents, leveraging its core functionality to code, build, and evaluate models with support for Skills/MCP/ACP. It solves problems related to agent development, deployment, and testing, accepting code and model inputs via git integration. Ideal for use cases requiring rapid agent prototyping and evaluation, it provides outputs in the form of evaluated agent performance and model metrics.

Canonical page: https://skillsregistry.net/skills/evalstate-fast-agent  
JSON: https://api.skillsregistry.net/v1/skills/evalstate-fast-agent

## Description

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/evalstate/fast-agent)

## 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": "evalstate-fast-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/evalstate-fast-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/evalstate-fast-agent/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