DATA AND RESEARCH / Hugging Face
Hugging Face Paper Reading
Retrieves AI research-paper text and structured metadata, with fallbacks to the original arXiv page or PDF when Hub text is incomplete.
“Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github”
01 / THE REASONING
Why this made the selection.
- Separates paper text from metadata such as authors and linked code, models and datasets, helping a research task collect the right evidence.
- Explains that the Markdown endpoint can fall back to a paper landing page rather than full text, and supplies an original-source fallback.
02 / THE REVIEW RECORD
What we actually inspected.
Source review has boundaries.
A clear record is more useful than a “safe” badge.
Material inspected
- skills/huggingface-papers/SKILL.md
- README.md (installation, compatibility and licence sections)
- LICENSE
Our findings
- The complete skill was inspected, including ID parsing, metadata endpoints, fallbacks and the distinction between public reads and token-authenticated writes.
- Search feeds and AI-generated summaries are discovery aids, not independent validation of a paper’s conclusions.
- Public metadata, markdown and arXiv fallbacks form a clearer path than the authenticated publishing examples; those writes were not validated.
Not established by this review
- No paper retrieval, search request, authorship claim or metadata write was executed.
- Paper conclusions and linked model results were not evaluated.
The review applies to the material and revision named here. A newer upstream release can change its behavior.
03 / PUT IT TO WORK
Add a skill to your workflow.
DOCUMENTED COMMAND
npx skills add https://github.com/huggingface/skills/tree/abc20ae526d8b4c0e4dff89f904adce28a4a0eb6/skills/huggingface-papersCopying does not execute this command. It may retrieve a newer version than the reviewed source.
- Install the huggingface-papers directory.
- Provide a paper identifier or URL and specify whether you need full-text reading or only metadata; keep read-only scope for ordinary research.
- Choose the intended host and project scope in the installer. The source revision is pinned; the installer itself is not executed or version-pinned by this review.
Before you start
- Node.js/npm and git for the documented Skills installer
- Network access to Hugging Face and, for fallbacks, arXiv
- A Hub token only for endpoints that explicitly require one; no token is needed for public paper pages
04 / FOLLOW THE EVIDENCE
The source trail.
Our notes are separate from the original resource.
Check upstream before adopting a new version.
https://github.com/huggingface/skills/blob/abc20ae526d8b4c0e4dff89f904adce28a4a0eb6/skills/huggingface-papers/SKILL.md
Supports: summary, upstreamDescription, whySelected, bestFor, limitations, review, access
https://github.com/huggingface/skills/blob/abc20ae526d8b4c0e4dff89f904adce28a4a0eb6/README.md
Supports: install, compatibility, access, license
https://github.com/huggingface/skills/blob/abc20ae526d8b4c0e4dff89f904adce28a4a0eb6/LICENSE
Supports: license, access.cost
https://github.com/vercel-labs/skills/blob/7407f3893ad4dceab546ac002c3ef806e4000c73/README.md
Supports: install
https://github.com/vercel-labs/skills/blob/7407f3893ad4dceab546ac002c3ef806e4000c73/src/git.ts
Supports: install
https://github.com/vercel-labs/skills/blob/7407f3893ad4dceab546ac002c3ef806e4000c73/src/source-parser.ts
Supports: install