pymc-modeling

The skill’s stated purpose (facilitating PyMC Bayesian modeling workflows) is coherent with its capabilities, install path (standard Python package installs), and data access expectations (local data, local results). There is no evidence of hazardous data flows, credential exposure, or supply-chain risks beyond typical, verifiable package installation from official registries. Overall, the skill is BENIGN with respect to security and privacy considerations; its footprint and data handling align with a legitimate developer-focused modeling guide.