social-science-skills
Pass
Audited by Gen Agent Trust Hub on Apr 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The collection provides instructional content and code examples for social science research methods, including survey design and social network analysis.
- [SAFE]: API integration in the ipums-microdata-api skill follows best practices by using environment variables for credential management and targeting legitimate, well-known academic endpoints at api.ipums.org.
- [SAFE]: Python dependencies referenced in the skills, such as pandas, scipy, and networkx, are standard and well-maintained libraries within the scientific computing ecosystem.
- [PROMPT_INJECTION]: Evaluation of indirect prompt injection surfaces indicates that while the skills provide code to ingest external data (e.g., loading CSV files for analysis in psychology-research-guide/SKILL.md), the scripts do not utilize high-risk capabilities such as arbitrary command execution or dynamic code evaluation.
- Ingestion points: Data loading via pandas in psychology-research-guide/SKILL.md and network-analysis-guide/SKILL.md.
- Boundary markers: Not implemented in the provided code templates.
- Capability inventory: Data processing and statistical computation using established libraries. No subprocess, exec, or eval usage was detected.
- Sanitization: Not present in the provided snippets.
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