huggingface-vision-trainer SKILL.md skillA

huggingface-vision-trainer from metaspartan/cybara is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add metaspartan/cybara/huggingface-vision-trainer@git:20260730.e75ee1a

Pins git:20260730.e75ee1a in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
metaspartan/cybara
Path
plugins/huggingface-workflows/skills/huggingface-vision-trainer/SKILL.md
Versions recorded
1
Latest version
git:20260730.e75ee1a, committed Jul 30, 2026
Size
1,707 bytes
Repository stars
32
License
MIT

Prepare, train, evaluate, and publish computer-vision and vision-language models with Hugging Face datasets, Transformers, PEFT, and Jobs.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Hugging Face Vision Trainer

Use this workflow for image classification, object detection, segmentation, depth estimation, and vision-language fine-tuning.

## Workflow

1. Inspect the dataset card, license, image features, labels, splits, corrupt records, class balance, dimensions, and annotation coordinate format.
2. Visualize a small representative sample before transforming labels or augmenting images.
3. Choose a model and processor that explicitly support the task and license requirements.
4. Preserve label mappings, preprocessing settings, image normalization, and augmentation seeds in the training configuration.
5. Split by source or subject when random row splitting could leak near-duplicate images.
6. Select task-appropriate metrics such as accuracy/F1, mAP, IoU, or VQA-style scores.
7. Run a small batch through preprocessing, forward pass, loss, and metric computation before launching remote training.
8. Save the processor with the model and publish representative evaluation outputs in the model card.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add metaspartan/cybara/huggingface-vision-trainer@sha256:4133a601176f13c8

The line at the top of this page pins the label git:20260730.e75ee1a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_nhfiqgard4o2wycj.svg)](https://markdownregistry.com/a/art_nhfiqgard4o2wycj)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jul 30, 2026.

versioncommittedcommitsizeaudit
git:20260730.e75ee1a latest2026-07-30 e75ee1a 1,707 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (1707 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

metaspartan/cybara · 32 stars · license MIT · pushed 2026-10-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_nhfiqgard4o2wycj
GET https://markdownregistry.com/api/v1/resolve?ref=metaspartan/cybara/huggingface-vision-trainer
GET https://markdownregistry.com/api/v1/blob/4133a601176f13c89841d0819a875ee9fd7172ace49ee22b686c853dfad6f4ae

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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