alterlab-text-as-data
Pass
Audited by Gen Agent Trust Hub on Jul 6, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: A detailed analysis of the skill's instructions, scripts, and documentation revealed no malicious patterns, prompt injections, or unauthorized data access behaviors. The skill's functionality is consistent with its stated purpose of computational social science analysis.
- [PROMPT_INJECTION]: The skill inherently processes external text corpora, which presents a surface for indirect prompt injection.
- Ingestion points: The skill ingests untrusted text data for analysis as described in the SKILL.md instructions and referenced in the text_stack.md patterns.
- Boundary markers: There are no specific delimiters or boundary markers specified for isolating ingested text from the agent's instructions.
- Capability inventory: The skill is restricted to local Python execution for statistical modeling and analysis.
- Sanitization: While linguistic preprocessing like stop-word removal is mentioned, no specific security-related sanitization of the input text is implemented.
- [EXTERNAL_DOWNLOADS]: The skill identifies several standard, high-reputation Python libraries (bertopic, scikit-learn, gensim, spacy, and sentence-transformers) as dependencies. These are fetched from official package registries, which is standard and safe practice for this domain.
Audit Metadata