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.
72
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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
The required workflow fetches and parses outsider-authored public web content from `https://huggingscience.co/topics/<slug>.md` (or `llms.txt`/`llms-full.txt`) via `scripts/fetch_catalog.py` and then emits the parsed markdown/description, which the agent would commonly pass into the LLM as context (indirect prompt-injection risk).
- Repository
- K-Dense-AI/scientific-agent-skills
- Commit
757b63b
- Audited
- Security analysis
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