q-exploratory-analysis

This SKILL.md defines a coherent, plausible EDA orchestration: interview the user to confirm measurement levels, run a packaged Python script (run_eda.py) to generate CSV outputs and an Excel report, then have the agent produce a narrative summary based strictly on those CSVs. There is no evidence inside the SKILL.md of network calls, hardcoded credentials, obfuscated code, or explicit exfiltration. The primary security concern is supply-chain / execution risk: the workflow requires copying and executing a pre-built Python script from the skill package without embedding its contents or providing integrity checks. Executing that script with agent privileges is the main point of risk — if the script were malicious or tampered with, it could read sensitive data, overwrite files, or perform arbitrary actions. Overall this appears functionally benign as an EDA skill, but treat the included run_eda.py as a high-value artifact that must be reviewed (or executed in a restricted sandbox) before use. Recommended mitigations: inspect the run_eda.py contents, run it in a restricted environment, and add checks for sensitive columns and optional redaction before writing outputs.