# Discover Open Source Issues Worth Solving

Finding active repositories and suitable issues requires repeated GitHub research. OSS Hunter searches popular projects and organizes promising contribution opportunities.

## Install

```bash
npx skillstore add sickn33/oss-hunter
```

## Metadata

- Status: approved
- Slug: sickn33-oss-hunter
- Skillstore revision: r2
- Version status: missing
- Tree hash: 21ed15808b3aeeafd0e7ad6f3114e160fa60d946be3b147bc6e24cdbcf1e1852
- Author: sickn33
- GitHub username: sickn33
- License: MIT
- Repository: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/oss-hunter
- Ref: 81e05e636292629114b76cbb3922fbe57672fc02
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: external\_commands, network
- Quality score: 78
- Quality tier: bronze
- Public page: https://skillstore.pages.dev/skills/sickn33-oss-hunter
- Manifest: https://skillstore.pages.dev/api/skills/sickn33-oss-hunter/manifest

## Capabilities

- Searches GitHub for repositories with more than 1,000 stars and recent activity.
- Selects up to ten repositories from GitHub search results.
- Retrieves up to three help wanted issues from each selected repository.
- Prints repository names, star counts, issue numbers, titles, and links.
- Guides agents to assess issue impact, complexity, reproducibility, and maintainer activity.

## Use Cases

- Find a First Contribution: Locate active repositories with labeled issues that offer a clear starting point.
- Build a Contribution Backlog: Collect promising issues across popular projects for later technical review.
- Research Community Opportunities: Compare repositories, issue activity, and maintainer patterns before assigning contribution work.

## Prompt Templates

### Find Beginner Issues

```
Find active AI repositories with help wanted issues. List the clearest beginner opportunities with links and brief reasons.
```

### Search One Repository

```
Search [owner/repository] for open help wanted issues. Rank them by clarity, likely impact, and implementation effort.
```

### Compare Contribution Options

```
Find contribution opportunities in [topic]. Compare repository activity, issue scope, maintainer responsiveness, and likely mergeability.
```

### Create a Contribution Dossier

```
Create a dossier for the strongest [topic] opportunity. Include evidence, affected users, reproduction steps, probable cause, fix strategy, risks, and confidence.
```

## Limitations

- The included script requires an installed and authenticated GitHub CLI.
- The repository search uses a fixed activity date and may become outdated.
- The script searches only the help wanted label and does not inspect issue code.
- Results do not guarantee issue availability, implementation feasibility, or pull request acceptance.

## Best Practices

- Confirm that each issue remains open and unassigned before starting work.
- Read contribution guidelines and recent pull requests before estimating mergeability.
- Validate reproduction steps and repository activity with current GitHub data.

## Anti Patterns

- Do not treat star count as proof that maintainers will accept a contribution.
- Do not claim a root cause without inspecting the relevant code and issue evidence.
- Do not begin implementation before checking issue ownership and project contribution rules.

## Security Audit

- Audited at: 2026-08-04T16:59:52.363\+00:00
- Summary: All 11 static findings are false positives. The Python helper runs read-only GitHub CLI queries with structured argument arrays, while the Markdown findings are benign documentation, labels, code fences, and GitHub links.

## Stats

- Views: 118
- Downloads: 9
- Favorites: 0
- Popularity score: 0