Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add beevibe-ai/beevibe --skill beevibe-discover-repogit clone --depth 1 https://github.com/beevibe-ai/beevibeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/beevibe-ai/beevibe/beevibe-discover-repo)<a href="https://agentmods.dev/skills/beevibe-ai/beevibe/beevibe-discover-repo"><img src="https://agentmods.dev/badge/skills/beevibe-ai/beevibe/beevibe-discover-repo/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/beevibe-ai/beevibe/beevibe-discover-repo"><img src="https://agentmods.dev/badge/skills/beevibe-ai/beevibe/beevibe-discover-repo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00051 | $0.00597 |
| Opus 5 | $0.00026 | $0.00298 |
| Sonnet 5 | $0.00010 | $0.00119 |
| Haiku 4.5 | $0.00005 | $0.00060 |
Grade A, and why
beevibe-discover-repo scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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 matchboost— 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)descriptionandstars. -
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.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 61 lines · 51 tokens per session scan A eade903be625
beevibe-discover-repo is a skill published in the GitHub repository beevibe-ai/beevibe (345 stars, last pushed yesterday), licensed Apache-2.0. It adds 51 tokens to every session and 597 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
kungfu-agent-onboarding
Discover the exact Kungfu Project, WorkConsole, WorkRef, Skill catalog, and Core Work state admitted to this Amp process.
kungfu-agent-onboarding
Use when a user asks to understand, start, inspect, extend, or safely operate installed Kungfu; verify the installed pack, select one intent route, personalize the explanation, and propose one smallest safe next action.
kungfu-agent-onboarding
Use when a user asks to understand, start, inspect, extend, or safely operate installed Kungfu; verify the installed pack, select one intent route, personalize the explanation, and propose one smallest safe next action.
aafb9b1b091b4dc00c7d838fa91f75c507e51c36045f31bccfc864a8532819f8
Use exact retained evidence.
growmos
Use the repository's living knowledge graph (growmos, in .growmos/) as shared memory. Trigger when the user asks about how parts of the codebase relate, why a decision was made, who owns what, what depends on what; when you finish a meaningful piece of development and should record it; when growmos next reports…
kungfu-agent-onboarding
Discover the exact Kungfu Project, WorkConsole, WorkRef, Skill catalog, and Core Work state admitted to this OpenCode process.