mcpField
O
oss-hunter

oss-hunter

github.com/sickn33Development48.7k70 installsUpdated today
Repository

About oss-hunter

OSS Hunter is an agent skill for finding and assessing open-source issues as potential contributions. It guides repository discovery, feasibility checks, and a structured contribution dossier; results depend on available search tools and cannot guarantee acceptance.

Key features

  1. 01Discover candidate repositories
  2. 02Find issues by labels
  3. 03Assess reproducibility and impact
  4. 04Review complexity and mergeability
  5. 05Create a contribution dossier

Use cases

  1. 01Find good-first-issue tasks in a domain
  2. 02Identify a bug suitable for a quick pull request
  3. 03Prepare a contribution strategy for a project
  4. 04Compare candidate issues before choosing one

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/sickn33/agentic-awesome-skills --skill oss-hunter

After installing, type/oss-hunterin Claude Code to confirm it loaded.

Bundled filesbin/hunter.py

Details

From the project README

OSS Hunter 🎯

A precision skill for agents to find, analyze, and strategize for high-impact Open Source contributions. This skill helps you become a top-tier contributor by identifying the most "mergeable" and influential issues in trending repositories.

When to Use

  • Use when the user asks to find open source issues to work on.
  • Use when searching for "help wanted" or "good first issue" tasks in specific domains like AI or Web3.
  • Use to generate a "Contribution Dossier" with ready-to-execute strategies for trending projects.

Quick Start

Ask your agent:

  • "Find me some help-wanted issues in trending AI repositories."
  • "Hunt for bug fixes in langchain-ai/langchain that are suitable for a quick PR."
  • "Generate a contribution dossier for the most recent trending projects on GitHub."

Workflow

When hunting for contributions, the agent follows this multi-stage protocol:

Phase 1: Repository Discovery

Use available web search or gh api to discover candidates. The bundled helper finds recently pushed high-star repositories sorted by stars; this is not GitHub Trending or evidence of recent star growth. It lists issues only, not root-cause/mergeability analysis. Focus on:

  • Stars > 1000
  • Recent activity (pushed within 24 hours)
  • Relevant topics (AI, Agentic, Web3, Tooling)
Phase 2: Issue Extraction

Search for specific labels:

  • help-wanted
  • good-first-issue
  • bug
  • v1 / roadmap
gh issue list --repo owner/repo --label "help wanted" --limit 10
Phase 3: Feasibility Analysis

Analyze the issue:

  1. Reproducibility: Is there a code snippet to reproduce the bug?
  2. Impact: How many users does this affect?
  3. Mergeability: Check recent PR history. Does the maintainer merge community PRs quickly?
  4. Complexity: Can this be solved by an agent with the current tools?
Phase 4: The Dossier

Generate a structured report for the human:

  • Project Name & Stars
  • Issue Link & Description
  • Root Cause Analysis (based on code inspection)
  • Proposed Fix Strategy
  • Confidence Score (1-10)

Limitations

  • Accuracy depends on the availability of gh CLI or web_search tools.
  • Analysis is limited by context window when reading very large repositories.
  • Cannot guarantee PR acceptance (maintainer discretion).

Contributing to the Matrix

Build a better hunter by adding new heuristics to Phase 3. Submit your improvements to the ClawForge.

Powered by OpenClaw & ClawForge.

Comments

Markdown supported