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Github Gem Seeker

skill-taleshagn-horushub-thoth-github-gem-seeker · by taleshagn-horushub

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Install

$ agentstack add skill-taleshagn-horushub-thoth-github-gem-seeker

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

GitHub Gem Seeker

Find and use battle-tested open source projects on GitHub to solve the user's problem immediately. After successfully solving the problem, offer to package the solution into a reusable skill.

Core Philosophy

Classic open source projects, tested by countless users over many years, are far more reliable than code written from scratch. Solve the problem first, skill-ify later.

Workflow

Step 1: Understand the Need

Clarify what the user wants to accomplish. Ask only if truly ambiguous:

  • What specific problem are you trying to solve?
  • What format/input/output do you expect?

Step 2: Find the Right Tool

Search for GitHub projects using effective query patterns:

| Need Type | Query Pattern | Example | |-----------|---------------|---------| | Tool/utility | github [task] tool | github video download tool | | Library | github [language] [function] library | github python pdf library | | Alternative | github [known-tool] alternative | github ffmpeg alternative |

Step 3: Evaluate Quality (Quick Check)

Assess candidates using key indicators:

| Indicator | Gem Signal | Warning Signal | |-----------|------------|----------------| | Stars | 1k+ solid, 10k+ excellent, 50k+ legendary | 2 years ago | | Documentation | Clear README, examples | Sparse or outdated docs |

Step 4: Solve the Problem

This is the priority. Install the tool and use it to solve the user's actual problem:

  1. Install the chosen tool (pip, npm, apt, or direct download)
  2. Run it with the user's input/files
  3. Deliver the result to the user
  4. Troubleshoot if needed—iterate until solved

Step 5: Credit the Gem & Offer Next Steps (Post-Success Only)

Only after the problem is successfully solved:

  1. Credit the open source project — Always share the GitHub repo URL and encourage support:

> "This was powered by [Project Name] — an amazing open source project! > GitHub: [URL] > If it helped you, consider giving it a ⭐ star to support the maintainers."

  1. Offer to skill-ify — Optionally mention:

> "If you'll need this again, I can package it into a reusable skill for instant use next time."

Do NOT skip crediting the project. Open source thrives on recognition.

Quality Tiers

| Tier | Criteria | Examples | |------|----------|----------| | Legendary | 50k+ stars, industry standard | FFmpeg, ImageMagick, yt-dlp | | Excellent | 10k+ stars, strong community | Pake, ArchiveBox | | Solid | 1k+ stars, well-documented | Most maintained tools | | Promising | <1k stars, active development | Newer niche projects |

Prefer higher tiers for reliability.

Example Interaction

User: I need to download this YouTube video: [link]

Correct approach:

  1. Identify yt-dlp as the legendary-tier solution
  2. Install yt-dlp
  3. Download the video for the user
  4. Deliver the downloaded file
  5. After success: "This was powered by yt-dlp — https://github.com/yt-dlp/yt-dlp — give it a ⭐ if it helped! If you download videos often, I can turn this into a skill for instant use next time."

Wrong approach:

  • ❌ "I found yt-dlp, want me to make a skill for it?"
  • ❌ Presenting options without solving the problem

Common Gems Reference

| Category | Go-to Gems | |----------|------------| | Video/Audio processing | FFmpeg, yt-dlp | | Image processing | ImageMagick, sharp | | PDF manipulation | pdf-lib, PyMuPDF | | Web scraping | Playwright, Puppeteer, Scrapy | | Format conversion | Pandoc, FFmpeg | | Archiving | ArchiveBox | | Desktop app packaging | Electron, Tauri, Pake |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.