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Oss hunter

Skill sickn33/agentic-awesome-skills/plugins/agentic-awesome-skills-claude/skills/oss-hunter

AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 1,987+ agentic skills. Includes CLI, local MCP, catalog, plugins, and Workbench.

Install
npx -y skills add sickn33/agentic-awesome-skills --skill oss-hunter

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What its author says it does

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

SKILL.md

2.5 KB, 563 tokens by cl100k_base, as published. Nobody here has run it

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:

  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.

What ships with it: 1 file

1.9 KB alongside SKILL.md, 1 of them executable

bin/

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.