Hugging Face Papers
SkillDatabases & dataDiscover 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
Free. Sign in, add Hugging Face Papers and connect your AI. About a minute.
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.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
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
- Capture the title, authors, publication date, paper URL, and stable identifier.
- Read the abstract, method, training data, evaluation setup, ablations, limitations, and license.
- Follow linked model, dataset, code, and demo repositories only when they are relevant.
- Distinguish author claims from reproduced or independently verified results.
- Compare metrics only when tasks, splits, prompts, baselines, and compute settings are compatible.
- 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 State when evidence is missing, unpublished, or not reproducible from available artifacts.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
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