hypogenic
Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use hypothesis-generation; for creative ideation use scientific-brainstorming.
68
62%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/hypogenic/SKILL.mdSecurity
2 findings — 2 medium severity. 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: 0.90). The SKILL.md explicitly requires ingesting third-party content—e.g., cloning public GitHub datasets and adding research PDFs into literature/YOUR_TASK_NAME/raw/ for HypoRefine (processed via pdf_preprocess.py/GROBID)—so the agent will read and act on untrusted public content that can materially influence hypothesis generation and downstream actions.
W012: Unverifiable external dependency detected (runtime URL that controls agent)
What this means
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Why it was flagged
Potentially malicious external URL detected (high risk: 0.80). The skill explicitly instructs cloning and running code from the external GitHub repository https://github.com/ChicagoHAI/hypothesis-generation (and related dataset repos like https://github.com/ChicagoHAI/HypoGeniC-datasets.git and https://github.com/ChicagoHAI/Hypothesis-agent-datasets.git), and then running bundled scripts (e.g., ./modules/setup_grobid.sh and ./modules/run_grobid.sh) which means remote code is fetched and executed at runtime for the HypoRefine workflow, making these runtime external dependencies that execute code.
- Repository
- K-Dense-AI/claude-scientific-skills
- Commit
25e1c0f
- Audited
- Security analysis
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.