Hugging Face Papers

SkillDatabases & data

Discover and analyze Hugging Face papers with traceable sources, linked models and datasets, and clearly separated claims and evidence.

Use Hugging Face Papers in Claude, ChatGPT or Ahel Desktop

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Also: Claude Code · Cursor · Codex

Then ask your AI: use the Hugging Face Papers skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Hugging Face PapersStart free

What this skill tells your AI

The instructions your AI receives, as published by metaspartan/cybara in plugins/huggingface-workflows/skills/huggingface-papers/SKILL.md and read by Ahel’s review.

Use hf papers list --format json or the Hub papers pages for discovery, then inspect the original paper before relying on a claim.

Workflow

  1. Capture the title, authors, publication date, paper URL, and stable identifier.
  2. Read the abstract, method, training data, evaluation setup, ablations, limitations, and license.
  3. Follow linked model, dataset, code, and demo repositories only when they are relevant.
  4. Distinguish author claims from reproduced or independently verified results.
  5. Compare metrics only when tasks, splits, prompts, baselines, and compute settings are compatible.
  6. Cite the original paper and primary artifacts near each technical claim.

Do not infer implementation details that are absent from the paper or its linked source. State when evidence is missing, unpublished, or not reproducible from available artifacts.

Signals

GitHub stars
31
Forks
9
Last commit
Oct 2026
Advanced
Item type
skill
Key
huggingface-papers
Source
github.com/metaspartan/cybara