hugging-science
Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, theorem proving, single-cell, or PDE solving. Hugging Science is a curated catalog of scientific datasets, models, blog posts, and interactive Spaces. This skill helps discover and use resources via `datasets`, `transformers`, the HF Inference API, `gradio_client`, and methodology citations.
71
86%
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
At runtime, the workflow fetches and parses free-text markdown from the outsider-accessible Hugging Science catalog endpoints (e.g., it pulls `https://huggingscience.co/topics/<slug>.md` / `https://huggingscience.co/llms-full.txt` and ingests their description text via `scripts/fetch_catalog.py`), which can contain third-party authored prose.
- Repository
- K-Dense-AI/scientific-agent-skills
- Commit
b2a92ba
- Audited
- Security analysis
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