# clawdhub-contributor

> Use this tool when you need to contribute to the ClawdHub ecosystem, solving problems related to collaborative development and community engagement. It provides an interface for submitting and managing contributions, accepting inputs such as code changes and documentation, and producing outputs like updated repositories and community feedback. Ideal for use cases involving open-source projects, community-driven development, and collaborative software maintenance.

Canonical page: https://skillsregistry.net/skills/starbuck100-clawdhub-contributor  
JSON: https://api.skillsregistry.net/v1/skills/starbuck100-clawdhub-contributor

## Description

Contribute to the ClawdHub ecosystem.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-20

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-05-20

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/starbuck100-clawdhub-contributor)

## 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": "starbuck100-clawdhub-contributor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/starbuck100-clawdhub-contributor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/starbuck100-clawdhub-contributor/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