Skill

oss-hunter

Hunts high-impact OSS issues in trending repositories, analyzes feasibility via reproducibility/impact/mergeability, and generates contribution dossiers with fix strategies.

Github

Git

developer-tools

From antigravity-awesome-skills

Install

Run in your terminal

npx claudepluginhub sickn33/antigravity-awesome-skills --plugin antigravity-awesome-skills

Tool Access

This skill uses the workspace's default tool permissions.

Supporting Assets

View in Repository

bin/hunter.py

Skill Content

Similar Skills

agent-harness-construction

Designs and optimizes AI agent action spaces, tool definitions, observation formats, error recovery, and context for higher task completion rates.

everything-claude-code

139.9k

agent-payment-x402

Enables AI agents to execute x402 payments with per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents pay for APIs, services, or other agents.

everything-claude-code

139.9k

agent-eval

Compares coding agents like Claude Code and Aider on custom YAML-defined codebase tasks using git worktrees, measuring pass rate, cost, time, and consistency.

everything-claude-code

139.9k

Stats

Parent Repo Stars30787

Parent Repo Forks5140

Last CommitMar 27, 2026

Actions

View Source View Plugin View on GitHub View 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 web_search or gh api to find trending repositories. 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:

Reproducibility: Is there a code snippet to reproduce the bug?
Impact: How many users does this affect?
Mergeability: Check recent PR history. Does the maintainer merge community PRs quickly?
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.