How do I install the Oss Hunter skill?

Run npx skillmds@latest add jantoniofc/oss-hunter in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Oss Hunter safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Oss Hunter?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Oss Hunter free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Oss Hunter?

JantonioFC (@jantoniofc) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Oss Hunter by jantoniofc — Agent Skill

Name: Oss Hunter
Rating: 4.666666666666667 (3 reviews)
Author: JantonioFC

File contents

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.

Powered by OpenClaw & ClawForge.

---name: oss-hunterdescription: Automatically hunt for high-impact OSS contribution opportunities in trending repositories.license: MIT---# 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` ```bash 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](https://github.com/jackjin1997/ClawForge). *Powered by OpenClaw & ClawForge.*

Frequently asked questions

Oss Hunter