alterlab-qualitative-analysis
Pass
Audited by Gen Agent Trust Hub on Jul 6, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is a well-structured academic analysis module. Its primary function is to compute reliability statistics for qualitative research coding.
- [COMMAND_EXECUTION]: The skill includes a local Python script (
scripts/icr.py) used to calculate statistics. This script is implemented using only the Python standard library, avoiding external dependencies for its core calculation logic. It performs no network operations, privilege escalation, or sensitive file access. - [EXTERNAL_DOWNLOADS]: The skill mentions common Python packages (
krippendorff,statsmodels,pandas) as requirements. These are well-known, established libraries in the data science ecosystem. The skill explicitly notes that these should be available in the session environment and does not attempt to perform runtime installations. - [DATA_EXFILTRATION]: No network access or data exfiltration patterns were detected. All data processing occurs locally within the agent's environment using provided CSV input.
- [PROMPT_INJECTION]: The instructions are focused on methodological rigor and do not contain patterns attempting to bypass agent safety filters or override system instructions.
- [SAFE]: The logic for branching between coefficient-based reliability (content analysis) and consensus-based reflexivity (thematic analysis) aligns with established academic methodologies (e.g., Braun & Clarke).
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