huggingface-papers
Discover and analyze Hugging Face papers with traceable sources, linked models and datasets, and clearly separated claims and evidence.
Skill by metaspartan
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/metaspartan-huggingface-papers
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: ml
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/huggingface-papers
What's inside
- Skill name
huggingface-papers- Description
- Discover and analyze Hugging Face papers with traceable sources, linked models and datasets, and clearly separated claims and evidence.
- License
- MIT
- Instructions
- 16 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Hugging Face Papers 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 State when evidence is missing, unpublished, or not reproducible from available artifacts.
From metaspartan/cybara, MIT.
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Signals
- Stars
- 32
- Forks
- 9
- Open issues
- 0
- Last commit (this folder)
- Jul 30, 2026 (3 months ago)
- Last release
- Oct 24, 2026 (4 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/metaspartan/cybara
- Website
- cybara.ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
huggingface-papers skill. Agent Mart. https://agentmart.dev/skills/metaspartan-huggingface-papers (last updated 2026-10-24)