Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Adds contribution capabilities to an agent for the ClawdHub ecosystem. Three modes (passive, active, full) control how much the agent contributes, from bug reports only to full telemetry opt-in. All scripts run offline and never collect identifying system information.
All operations run fully offline with sanitized output, so users can contribute ecosystem data without exposing hostnames, IPs, or credentials.
When to use it
- Reporting a bug when a skill fails unexpectedly
- Scanning a local skill directory for quality and security issues
- Submitting a skill recipe after combining tools to solve a task
- Running passive mode to contribute safely without auto-scanning
- Auditing skill dependencies and generating structured quality reports
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: report a bug for skill 'data-fetcher' with error 'timeout on fetch'
- 1Run scripts/report-bug.sh with the skill slug and error message
- 2Collect OS and node version from the local environment
- 3Strip any identifying information such as hostname, IP, and username
- 4Produce a sanitized JSON bug report to stdout
A JSON bug report ready to submit to the ClawdHub API