evalstate/fast-agent

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

About the project

fast-agent is a command-line framework for creating, running, and evaluating AI agents and workflows, including connections to models, skills, and MCP servers. It is used by developers building coding tools, multimodal agents, automations, and evaluation workflows.

This repository also configures its own agents. See what fast-agent tells them →

3.9kStars on the repository
4Mods indexed here, across every type
yesterdayLast push, which is what freshness is scored on
Apache-2.0Licence, which decides whether bodies are shown

pr-writing-review

01

evalstate/fast-agent

Skill Claude CodeCodex

Extract and analyze writing improvements from GitHub PR review comments. Use when asked to show review feedback, style changes, or editorial improvements from a GitHub pull request URL. Handles both explicit suggestions and plain text feedback. Produces structured output comparing original phrasing with reviewer…

not rated 3.9k +8 yesterday A SkillSpector: pass 64 tokens original Apache-2.0

evalstate/fast-agent

Skill Claude CodeCodex

Investigate fast-agent session and history files to diagnose issues. Use when a session ended unexpectedly, when debugging tool loops, when correlating sub-agent traces with main sessions, or when analyzing conversation flow and timing. Covers session.json metadata, history JSON format, message structure, tool…

not rated 3.9k +8 yesterday A SkillSpector: pass 68 tokens original Apache-2.0

fast-agent-design

03

evalstate/fast-agent

Skill Claude Code

Use this skill to generate well-branded interfaces and assets for fast-agent, either for production or throwaway prototypes/mocks/etc. Contains essential design guidelines, colors, type, fonts, assets, and UI kit components for protoyping.

not rated 3.9k +8 yesterday A 52 tokens original Apache-2.0