oss-hunter – Other skill for AI agents

Automatically hunt for high-impact OSS contribution opportunities in trending repositories.

OtherSKILL.mdClaude Code · Codex · Hermes · DeepSeek

Install the oss-hunter skill with one command

Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.

Claude Code

mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/oss-hunter-18405.tgz | tar xz -C ~/.claude/skills

Call it in Claude Code: /oss-hunter – then describe the task you want done.

Codex

mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/oss-hunter-18405.tgz | tar xz -C ~/.codex/skills

Call it in Codex: $oss-hunter – then describe the task you want done.

Hermes Agent

mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/oss-hunter-18405.tgz | tar xz -C ~/.hermes/skills

Call it in Hermes Agent: /oss-hunter – then describe the task you want done.

DeepSeek

mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/oss-hunter-18405.tgz | tar xz -C ~/.deepcode/skills

Call it in DeepSeek: /oss-hunter – then describe the task you want done.

SKILL.md content

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](https://github.com/jackjin1997/ClawForge).

*Powered by OpenClaw & ClawForge.*

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