hugging-science SKILL.md skillA
hugging-science from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/hugging-science@v1.5Pins v1.5 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/hugging-science/SKILL.md- Versions recorded
- 7
- Latest version
- v1.5, committed Oct 1, 2026
- First version recorded
- Jun 11, 2026
- Size
- 11,816 bytes
- Repository stars
- 56,497
- License
- MIT
Discovers and evaluates scientific datasets, models, methodology posts, and Spaces through the Hugging Science catalog. Used when selecting scientific ML resources in biology, chemistry, genomics, materials, climate, physics, astronomy, medicine, mathematics, protein design, single-cell analysis, or PDE modeling, and when checking their actual datasets, Transformers, native-runtime, Inference Providers, or Gradio interfaces.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Hugging Science Hugging Science is a curated, LLM-friendly index of scientific datasets, models, blog posts, and interactive demos for ML researchers. Use it to find candidate resources, then verify their author documentation and scientific suitability; curation does not establish quality, openness, or executable compatibility. There are two related surfaces, and you should use both: - **The catalog at `huggingscience.co`** — a static, parseable index of resources across 17 scientific domains. It exposes `llms.txt` (compact), `llms-full.txt` (full content), and `topics/<slug>.md` (per-domain). These are markdown files designed to be fetched and read. - **The `hugging-science` Hugging Face organization** — `huggingface.co/hugging-science` — community-submitted datasets, models, and a changing collection of Gradio, Docker and static Spaces. Not every listing exposes an inference API. The catalog *points to* resources hosted on the broader Hugging Face Hub. For example, ESM2 supports Transformers, while Evo2 requires its native runtime and OpenGenome2 needs explicit file-format handling. The catalog provides discovery; use each resource through its verified loader or service. …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/hugging-science@sha256:cff6c7e67d7f1925The line at the top of this page pins the label v1.5, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_cf3z4vwpk3o4hjsl)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between Jun 11, 2026 and Oct 1, 2026, about one every 19 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.5 latest | 2026-10-01 | a92663a | 11,816 B | A | view · diff |
| v1.4 | 2026-09-30 | ce9e6e9 | 11,572 B | A | view · diff |
| v1.3 | 2026-09-02 | 1e5eeff | 11,133 B | A | view · diff |
| v1.2 | 2026-07-28 | 0e45106 | 10,175 B | A | view · diff |
| v1.1 | 2026-07-26 | b085e11 | 10,175 B | A | view · diff |
| git:20260726.cb83780 | 2026-07-26 | cb83780 | 10,180 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 9,864 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (11816 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
k-dense-ai/scientific-agent-skills · 56,497 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_cf3z4vwpk3o4hjsl GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/hugging-science GET https://markdownregistry.com/api/v1/blob/cff6c7e67d7f1925f008e11f5d0428f08391c35f4294d2c4c70350667b2decb2
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.