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[External Plugin]: where my hug

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#5,061 4 commenti 0 reazioni 0 assegnatari Vedi su GitHub

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Valutazione

Difficoltà
3/5
Tempo stimato
Mezza giornata
Idoneità per principianti
15/100
Tipo di issue
Funzionalità
Chiarezza
Abbastanza chiara
Stato di attività
Attiva
Stack tecnologico
huggingface, javascript
Ambito
developer-experience, machine-learning

Direzione di ricerca

This is a marketplace listing submission, not a code change: review the plugin/ folder in bikemeardsley/where-my-hug, starting with .claude-plugin/plugin.json, the single skill, and the pinned npx [email protected] MCP server. Check the submission fields against the checklist and the contribution policy. Done means a maintainer approves or declines the listing, and the two existing comments have been answered.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

external-plugin needs-review:HIGH ready-for-review
Plugin name

where-my-hug

Short description

Tells your agent which parts of an ML need Hugging Face already covers (use, fine-tune, train, or just code), with every model and dataset checked live and sized for your hardware.

GitHub repository

bikemeardsley/where-my-hug

Plugin path inside the repository

plugin

Ref to review

refs/tags/where-my-hug--v0.2.0

Commit SHA to review

8e294fd8a81c61e1a4c721f95492ba34bd99afee

Version

0.2.0

License identifier

MIT

Author name

Michael Beardsley

Author URL

No response

Homepage URL

No response

Keywords

hugging-face
machine-learning
mcp
models
datasets
fine-tuning
model-selection

Additional notes for reviewers

Where My Hug At? helps Copilot recommend Hugging Face models and datasets that actually exist. It asks four questions (compute, license, stack, data), splits the job into parts, searches Hugging Face live for each (most downloaded and trending for the task, names, and card text), and gives each part its verdict from what turned up (use as is, fine-tune, train, or just code). Every pick is then checked live against the Hugging Face API: missing ids are dropped, anything the agent added from memory is labeled as such, the rest are flagged for license, gating and staleness, and sized against the user's hardware.

  • Plugin folder: plugin/ (Agent Plugins plugin.json and mcp.json, plus the Claude-format .claude-plugin/plugin.json; one skill, one MCP server).
  • The MCP server is local (stdio), launched as npx -y [email protected] (pinned, published on npm, lockfile in the plugin folder). Its only network calls are read-only GETs to huggingface.co/api; it reads and writes no files.
  • No credentials required. An optional HF_TOKEN adds private repos and is sent only to huggingface.co.
  • Tested: installs with copilot plugin marketplace add bikemeardsley/where-my-hug and copilot plugin install where-my-hug@where-my-hug; the MCP server and the skill both register.
  • MIT. Also listed in the official MCP Registry (io.github.bikemeardsley/where-my-hug).
Submission checklist
  • The plugin lives in a public GitHub repository.
  • The ref and/or sha I provided is immutable (release tag and/or full 40-character commit SHA), not a branch.
  • This submission follows this repository's contribution, security, and responsible AI policies.
  • This plugin is not already listed in the Awesome Copilot marketplace.
Lingua principale
JavaScript
Stelle
40k
Fork
5.1k
Merge medio
2g 12h
PR unite (30g)
115

Preparare l'ambiente

Come iniziare

  1. Leggi tutta la issue e poi la guida ai contributi del progetto.
  2. Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
  3. Fai un fork del repository e lavora su un branch.
  4. Apri una pull request che faccia riferimento al numero della issue.

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