gepeiyu

gepeiyu / agentskills-proxy

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A remote proxy server for Agent Skills that enables skill discovery, execution, and data management via gRPC/HTTP. This service bridges local skill capabilities to remote access, allowing AI agents to leverage various tools and capabilities through a unified interface.

16
0
100% credibility
Found Feb 05, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A remote proxy server that allows AI agents to discover, execute, and manage custom skills implemented as JavaScript, Python, or shell scripts in a secure sandboxed environment.

How It Works

1
🕵️ Discover the skill sharer

You hear about a handy tool that lets AI helpers use your custom tricks and tools from afar.

2
📥 Get it ready

Download the project and drop your own skill folders into place, each with a simple note describing what it does and the magic script inside.

3
🚀 Turn it on

With one easy click using the ready setup, your skill sharing spot springs to life on your computer.

4
🔗 Link your AI buddy

Hook up your AI program to this new spot using the simple connector guide.

5
🔍 Explore skills

Peek at the list of available skills, search for what you need, and learn more about each one.

6
⚡ Run a skill

Pick a skill, give it some details, and watch it go with live updates and safe results popping out.

🎉 AI supercharged

Your AI helper now effortlessly taps into your custom skills anytime, making everything smoother and more powerful.

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Star Growth

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AI-Generated Review

What is agentskills-proxy?

AgentSkills-Proxy is a TypeScript-based remote proxy server that exposes local scripts as remote-accessible "skills" for AI agents, handling discovery, execution, and artifact management over gRPC or HTTP. Drop JS, Python, or Shell scripts into a skills folder with a SKILL.md descriptor, and agents can list, search, and run them securely from anywhere via endpoints like /api/skills or gRPC calls. It solves the remote proxy pattern problem for agent toolchains, bridging local capabilities to distributed AI workflows without custom servers.

Why is it gaining traction?

Its dual gRPC/HTTP access and TypeScript SDK make integrating agent skills dead simple—no more wrestling remote github repository setups or auth headaches like "github remote support for password authentication was removed." Dynamic scanning of skills, streaming execution feedback, and sandboxed runs with timeouts/memory caps stand out for safe remote proxy server use. Developers dig the Docker Compose one-liner deploy and artifact downloads via HTTP.

Who should use this?

AI engineers building agent fleets needing remote proxy ssh-like access to local tools, or backend devs creating remote github copilot extensions with custom skills. Perfect for teams prototyping remote github mcp server previews where agents execute code safely without full remote access risks.

Verdict

Early-stage with 16 stars and 1.0% credibility—docs are solid (bilingual README, SDK examples) but lacks tests and broad adoption. Try for agent experiments if you need a quick remote proxy server; skip for production until more battle-tested.

(198 words)

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