# io.github.pinchwork/pinchwork

> Use this tool when you need to facilitate secure and reliable task delegation between AI agents, leveraging credit escrow and reputation tracking to ensure trustworthy transactions. It solves problems of task allocation, payment security, and agent reputation management in multi-agent systems. The tool takes in task requests and agent credentials as inputs, and outputs task assignments and updated reputation scores.

Canonical page: https://skillsregistry.net/skills/io-github-pinchwork-pinchwork  
JSON: https://api.skillsregistry.net/v1/skills/io-github-pinchwork-pinchwork

## Description

Agent-to-agent task marketplace with credit escrow and reputation tracking.

## Trust

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

## Facts

- **Version:** 0.6.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-04-17

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.pinchwork%2Fpinchwork)
- **Repository:** <https://github.com/anneschuth/pinchwork>

## 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": "io-github-pinchwork-pinchwork"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-pinchwork-pinchwork` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-pinchwork-pinchwork/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