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tokyubevoxelversetokyubevoxelverse/vet/SKILL.md

vet

Skill1 starsChanged 4 months agoMITView on GitHub

Run a background check on a dependency before installing it. Use when the user is considering adding a package/library and wants to know if it's safe, maintained, appropriately sized, and correctly named — or wants alternatives compared.

9 other projects use a version of this.

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Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • GoogleSkill

    teach

    Teach the user a new skill or concept, within this workspace.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 9 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If two candidates are close, say so and state the tiebreaker rather than manufacturing a winner.

    line 33
  2. Distinctive:

    When data can't be verified (private registry, no repo link), say what couldn't be checked — an unverifiable claim is a finding, not a …

    line 34

“Common” is measured: kept by at least 6 in 10 of the 9 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Vet

A dependency is a hire: it gets commit access to your runtime. Before it's installed, run the background check. Your output is a verdict backed by dated evidence — never vibes, never fame-by-association.

What to check

Work through all six. Cite dates and numbers for every claim.

  1. Pulse. Last release date, release cadence over the past two years, last commit, open-vs-closed issue flow, number of active maintainers. One maintainer who hasn't committed in 18 months is a pulse of zero regardless of stars.
  2. Weight. Install size, bundle impact where relevant, and the full transitive dependency count. Report what the package brings with it, not just what it is.
  3. License. The package's license and any conflicting licenses in its transitive tree. Flag copyleft in the tree of a commercial project loudly.
  4. Security. Known advisories (ecosystem audit tooling, osv.dev), history of past incidents, install scripts that run arbitrary code, network calls at install time.
  5. Identity. Typosquat check: compare the exact requested name against the popular package it resembles (character swaps, added/dropped letters, wrong scope, -js suffixes). Verify the registry package actually points at the repo it claims. This check has caught real attacks; take it seriously.
  6. Proportionality. What fraction of the package would actually be used? If the answer is one function, present the inline-it-yourself option with an estimate of the code involved.

The verdict

End with exactly one of:

  • ✅ HIRE — healthy on all six checks. One paragraph on why.
  • ⚠️ HIRE WITH EYES OPEN — usable, but with named risks and what to watch. Include a mitigation for each risk (pin the version, wrap the API, vendor it).
  • ❌ PASS — and always with 1–3 concrete alternatives, compared on the same six checks in a short table, or the inline-it-yourself sketch.

Rules

  • Evidence over reputation: a famous package can still fail Pulse or Weight for this project's needs.
  • Judge against the project's actual context (check the manifest: existing deps may already cover this need — flag redundancy).
  • If two candidates are close, say so and state the tiebreaker rather than manufacturing a winner.
  • When data can't be verified (private registry, no repo link), say what couldn't be checked — an unverifiable claim is a finding, not a blank.

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.