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.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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
The skill instructs runtime git clone of example dataset repositories (e.g., https://github.com/ChicagoHAI/HypoGeniC-datasets.git and https://github.com/ChicagoHAI/Hypothesis-agent-datasets.git) and the cloned config files are then referenced as config.yaml prompt templates that directly control LLM prompts during execution.
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- wu-yc/LabClaw
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- Security analysis
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