Security checks across malware telemetry and agentic risk
This is a coherent local chart, dashboard, and report-generation skill with some dependency and generated-HTML risks to keep in mind.
Install it in an isolated Python environment, consider pinning dependencies before production use, avoid putting untrusted data into exported HTML without escaping, and be aware that generated dashboards fetch Plotly JavaScript from a CDN when opened.
plotly>=5.15.0 matplotlib>=3.7.0 seaborn>=0.12.0 pandas>=2.0.0
plotly>=5.15.0 matplotlib>=3.7.0 seaborn>=0.12.0 pandas>=2.0.0 numpy>=1.24.0
plotly>=5.15.0 matplotlib>=3.7.0 seaborn>=0.12.0 pandas>=2.0.0 numpy>=1.24.0 kaleido>=0.2.0
plotly>=5.15.0 matplotlib>=3.7.0 seaborn>=0.12.0 pandas>=2.0.0 numpy>=1.24.0 kaleido>=0.2.0 openpyxl>=3.1.0
matplotlib>=3.7.0 seaborn>=0.12.0 pandas>=2.0.0 numpy>=1.24.0 kaleido>=0.2.0 openpyxl>=3.1.0 reportlab>=3.6.0
seaborn>=0.12.0 pandas>=2.0.0 numpy>=1.24.0 kaleido>=0.2.0 openpyxl>=3.1.0 reportlab>=3.6.0 jupyter>=1.0.0
pandas>=2.0.0 numpy>=1.24.0 kaleido>=0.2.0 openpyxl>=3.1.0 reportlab>=3.6.0 jupyter>=1.0.0
numpy>=1.24.0 kaleido>=0.2.0 openpyxl>=3.1.0 reportlab>=3.6.0 jupyter>=1.0.0
kaleido>=0.2.0 openpyxl>=3.1.0 reportlab>=3.6.0 jupyter>=1.0.0
65/65 vendors flagged this skill as clean.
