hypothesis-generation
Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.
78
67%
Does it follow best practices?
Impact
99%
1.67xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/hypothesis-generation/SKILL.mdSecurity
1 medium severity finding. This skill can be installed but you should review these findings before use.
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
Third-party content exposure detected (high risk: 0.80). The SKILL.md workflow explicitly requires conducting literature searches via WebFetch on PubMed URLs and general WebSearch (papers, preprints, and other web content) that the agent is expected to read, synthesize, and use to drive hypotheses and experimental decisions, which exposes it to open third‑party web content that could carry indirect prompt injection.
- Repository
- K-Dense-AI/claude-scientific-skills
- Commit
25e1c0f
- Audited
- Security analysis
Is this your skill?
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