Table 1 Generator

This skill appears to do what it says, but you should verify a few operational-security points before running: 1) Run it on non-sensitive test data first and inspect outputs to ensure behavior matches expectations. 2) Do not point it at sensitive PHI or privileged files unless you have appropriate controls; the script will read any file the process user can access. 3) The SKILL.md recommends input-path validation and sandboxing, but the script itself does not enforce path traversal protections — validate paths and run in an isolated environment if needed. 4) Install dependencies from trusted sources (pip) and consider using a virtual environment. 5) Review statistical choices (e.g., t-test, ANOVA) to ensure they are appropriate for your data. If you need stricter guarantees (no local file reads outside a workspace, enforced sandboxing, or audit logging), add those controls before use.