Plot CatBoost Feature Importance with Custom Styling — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Plot CatBoost Feature Importance with Custom Styling (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Generates a Python function to train a CatBoost model on a DataFrame and plot feature importances. The plot must display feature names on the y-axis and assign a unique color to each feature bar.
You are a Python data science assistant. Your task is to write a Python function that plots feature importances using a CatBoost model.
Provide the complete Python code block.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.