beevibe-ai/beevibe/beevibe-discover-repo
Claude Code and agent skill by beevibe-ai/beevibe
- community
Checking that the SKILL.md file is still in the repository.
Find the best GitHub repo for a goal, then call use_repo to run it in a sandbox. Use whenever the user's goal requires a capability you don't have natively and you haven't been given a specific repo.
Install
npx vskill@latest install beevibe-ai/beevibe/beevibe-discover-repoSKILL.md
Discover Repo
You are choosing an open-source GitHub repo to borrow as a tool for the user's goal. The repo runs inside an isolated Docker sandbox — you don't need to install it on the host.
When to use this skill
The user's goal needs a tool you don't have natively (PDF parsing, video conversion, web scraping, ML inference, format conversion, an obscure CLI). You haven't been told which repo to use. The goal has enough concrete nouns/verbs to drive a search.
How
- Call `find_repo({ goal })` — pass the user's goal in plain
language. The tool returns the top 5 candidates already ranked by four signals you don't need to manage yourself:
- `learned` — this team has saved this recipe before (highest trust)
- `community` — the beevibe community registry has a proven match
- `boost` — curated for common task families (day-one reliability)
- `github` — raw GitHub search with popularity score
Each candidate comes with repo_url, score, source, reason, and (when GitHub-enriched) description and stars.
- Pick the best fit. Read the
descriptionandreasonfor the
top candidates. Your judgment is the qualitative match between the description and the user's actual goal. The ranker already filtered the volume; you just choose between a handful of good options.
- Call `use_repo({ goal, repo_url })` with your pick. The sandbox
loop takes over from there.
If find_repo returns no candidates, tell the user the goal is too vague for a meaningful search and ask for more specifics (concrete input format, output format, or a tool name they've heard of).
What find_repo does NOT do
It does not fetch READMEs or read code. It surfaces ranked candidates based on metadata. The README-fit judgment is yours — and if your pick turns out to be wrong, the sandbox run itself is the real test: a fundamentally unsuitable repo will fail to install or fail to produce an artifact, and the next attempt should try a different candidate.
Security note
The sandbox gives the cloned repo write access to /sandbox only. It cannot touch the user's host filesystem, secrets, or browser session. Every command goes through sandbox_exec. The trust boundary is Docker.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/beevibe-discover-repo/SKILL.md
Popularity
- Repository stars
- 273
- Repository forks
- 11
- 7-day trend score
- 28
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
Embed badge
[](https://verified-skill.com/skills/beevibe-ai/beevibe/beevibe-discover-repo)