FrancoStino/oss-hunter
bundled-skills/oss-hunter/SKILL.md
Automatically hunt for high-impact OSS contribution opportunities in trending repositories.
$ install --global
skillsauthnpx skillsauth add FrancoStino/opencode-skills-antigravity oss-hunterInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 19, 2026, 2:22 AM6.6s2 files scanned
SKILL.md
- name:
- oss-hunter
- description:
- Automatically hunt for high-impact OSS contribution opportunities in trending repositories.
- risk:
- safe
- source:
- https://github.com/jackjin1997/ClawForge
- date_added:
- 2026-02-27
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-wantedgood-first-issuebugv1/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
ghCLI orweb_searchtools. - 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.
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