# io.github.piiiico/proof-of-commitment

> Use this tool when you need to assess the reliability of open-source packages or repositories, as it generates behavioral trust scores for npm packages, GitHub repos, and businesses, providing insights to inform decision-making and mitigate risks. It takes package or repository data as input and outputs a trust score, enabling users to evaluate the commitment and credibility of developers and organizations. Ideal for use cases such as dependency management, vendor evaluation, and risk assessment.

Canonical page: https://skillsregistry.net/skills/io-github-piiiico-proof-of-commitment  
JSON: https://api.skillsregistry.net/v1/skills/io-github-piiiico-proof-of-commitment

## Description

Behavioral trust scores for npm packages, GitHub repos, and businesses.

## Trust

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

## Facts

- **Version:** 0.5.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-04-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.piiiico%2Fproof-of-commitment)
- **Repository:** <https://github.com/piiiico/proof-of-commitment>

## Use it

MCP endpoint published by the skill: `https://poc-backend.amdal-dev.workers.dev/mcp`

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-piiiico-proof-of-commitment"
    }
  }
}
```

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