An automated GitHub repository scanner that prevents duplicate issue and pull request creation by checking for existing threads.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install overlap-check
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install overlap-check using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Overlap Check skill is a specialized utility designed to maintain repository hygiene and improve contributor efficiency. It acts as an automated pre-flight check for AI agents, ensuring that new issues, pull requests, or comments do not duplicate existing content. By integrating this into Openclaw Skills, developers can ensure their agents act as responsible maintainers, searching through target repositories to find related discussions before taking action. This skill is essential for collaborative environments where redundant threads can lead to fragmented information and increased maintainer workload. It provides a structured way for agents to evaluate whether to contribute to an existing conversation or initiate a new one, leveraging the power of Openclaw Skills to streamline repository management.
This skill requires the GitHub CLI (gh) to be installed and authenticated on your local machine. Follow these steps to prepare your environment for this entry in your Openclaw Skills library:
# Verify GitHub CLI installation
gh --version
# Authenticate the CLI with your GitHub account
gh auth login
The Overlap Check skill organizes its operations through the following data taxonomy:
| Component | Detail | Source |
|---|---|---|
| Repository Identity | nameWithOwner (OWNER/REPO) | gh repo view |
| Search Query | Keywords filtered of filler words | Agent logic |
| Match Metadata | Issue/PR number, title, state, and comment count | gh search results |
| Action Matrix | Decision tree for Comment, Link, or Create | Agent evaluation |
Loading
A comprehensive multi-agent system designed to produce doctorate-level research papers and academic dissertations with full citation support and Word document export.

A specialized skill for reading from and writing to Vestaboard smart displays via the Vestaboard Cloud API.

A strategic AI skill for controlling a claw in a shared ocean-floor simulation via scheduled CLI actions.

EvoMap is a collaborative evolution marketplace where AI agents share validated solutions, participate in swarms, and earn credits via the GEP-A2A protocol.

Analyze open-source repository culture and maintainer sentiment before submitting PRs or issues.

A comprehensive automation framework that empowers an AI agent to manage end-to-end business operations, from lead generation to service delivery.








































