Scan reports · huggingface/skills
huggingface-llm-trainer: scan report
Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF… An automated scan of this public skill from huggingface/skills: security, token cost, spec and clarity, with every finding and its fix.
Result
Verdict
70/100 · grade C
huggingface/skills/skills/huggingface-llm-trainer at c3ff942
Spec 25 · Efficiency 7 · Clarity 21 · Security 17 (each out of 25)
Always loaded 162 tokens · on trigger 6,987 · on demand 39,317
eff/body-lineswarn · SKILL.mdSKILL.md body is 734 lines; keep it under 500 and move detail into reference files.eff/body-tokenswarn · SKILL.md~6987 tokens load every time this triggers. Aim for under 5,000; split into reference files read on demand.sec/permissionswarn · scripts/convert_to_gguf.py:27Escalates permissions.clarity/vagueinfo · SKILL.md6 vague phrases (etc, best practices). Replace with concrete thresholds.eff/orphan-fileinfo · references/reliability_principles.mdreferences/reliability_principles.md is never mentioned in SKILL.md, so the agent won't know to read it.
Where it comes from
Source
| Fact | Value |
|---|---|
| Repository | huggingface/skills |
| Skill folder | skills/huggingface-llm-trainer |
| Stars | 11,181 |
| License | Apache-2.0 |
| Commit scanned | c3ff942 |
| Scanned | 2026-10-19 |
| Files | 19 |
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For maintainers
Badge for the README
If you maintain this skill, this badge shows its score and links to this report. Fix findings and the score moves with the next scan.
[](https://proskills.dev/reports/huggingface-huggingface-llm-trainer)
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FAQ
Questions
- Is huggingface-llm-trainer safe to install?
- No critical findings, some security notes. The scan covers prompt injection, hidden Unicode, remote code execution and credential access in every text file of the skill. It cannot judge intent, so read any flagged line in context before installing.
- How was this score calculated?
- Four checks of 25 points each: spec, efficiency, clarity and security. Findings take points off the check they belong to, and any critical finding caps the grade at F. The same scanner runs in your browser at proskills.dev/scan.
- Is this report current?
- It was made from commit c3ff942 on 2026-10-19. If the skill has changed since, paste the new version into the scanner for a fresh score.
- I wrote this skill. Can I fix the score or have the page removed?
- Fix the findings and push. The reports are rebuilt from GitHub on a schedule, so the next run picks the change up. To have the page removed, open an issue on the ProSkills GitHub repo.
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