evalstate/fast-agent

COLLECTIONcommunity
evalstateApache-2.0Updated 20d agoGitHub

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

Please see for latest documentation. is a flexible way to interact with LLMs, excellent for use as a Coding Agent, Development Toolkit, Evaluation or Workflow platform. To start an interactive session with shell support, install uv and run To start coding with Hugging Face inference providers or use your OpenAI Codex plan: Enter a shell with , or run shell commands e.g. . Manage skills with the…

This collection bundles
2 skills7 agents5 MCP servers1 command

⚠ The trust score below reflects the collection's repository only. The bundled units are not individually verified or scanned — review them before use.

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4kGitHub stars
404Forks
20d agoLast update
Package
Authorevalstate
LicenseApache-2.0
Sourcegithub
GitHubevalstate/fast-agent
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/25
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/10
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
—CVE scan · not run+0/30
→ Not yet scanned — package must be on npm
✓Static analysis · clean+20/20
—npm provenance (Sigstore)+0/5
→ Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ CleanvHEAD · 19d ago
EvalsNone
IndexedJun 14, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

Please see for latest documentation. * is a flexible way to interact with LLMs, excellent for use as a Coding Agent, Development Toolkit, Evaluation or Workflow platform. To start an interactive session with shell support, install uv and run To start coding with Hugging Face inference providers or use your OpenAI Codex plan: Enter a shell with , or run shell commands e.g. . Manage skills with the command, and connect to MCP Servers with . The default registry contains skills to let you set up…

Keywords
acpagentagent-frameworkagent-skillsclimcpmcp-clientmcp-serverpythonskillstuicollection