Senior Data Scientist
PassAudited by ClawScan on May 1, 2026.
Overview
The skill appears to provide data-science guidance and simple example scripts without evidence of credential use, persistence, exfiltration, or destructive behavior.
This skill looks safe to use as data-science guidance. If you run or adapt the example code, review it first, use only data you are allowed to process, and install any needed Python or ML packages from trusted sources.
Findings (1)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
If you choose to run the examples, you may need to install third-party packages, which should be obtained from trusted sources.
The skill's examples reference external data-science packages, while the metadata declares no install specification or required binaries. This is expected for a data-science skill, but package installation would be a separate trust decision.
using Python (NumPy, Pandas, Scikit-learn), R, and SQL ... import xgboost as xgb ... import mlflow
Install dependencies only from reputable package repositories and review any package-install commands before running them.