# Sharebench

> Use this tool when you need to streamline AI skill integration and management, solving problems of skill discovery and deployment. It allows you to search and pull AI skills, agents, prompts, and playbooks into any MCP client, providing a simple interface for inputting search queries and outputting relevant AI assets. This tool is ideal for use cases where efficient AI skill management and deployment are crucial, such as in AI development and testing environments.

Canonical page: https://skillsregistry.net/skills/ai-sharebench-registry  
JSON: https://api.skillsregistry.net/v1/skills/ai-sharebench-registry

## Description

Sharebench — search & pull AI skills, agents, prompts & playbooks (SKILL.md) into any MCP client

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.sharebench%2Fregistry)

## Use it

MCP endpoint published by the skill: `https://mcp-public.sharebench.ai`

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": "ai-sharebench-registry"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-sharebench-registry` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-sharebench-registry/pull`

---
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