exploring-data — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited exploring-data (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.
bash /mnt/skills/user/exploring-data/scripts/check_install.shReturns: installed or not_installed
if [ "$(bash check_install.sh)" = "not_installed" ]; then
bash /mnt/skills/user/exploring-data/scripts/install_ydata.sh
fibash /mnt/skills/user/exploring-data/scripts/analyze.sh <filepath> [minimal|full] [html|json]Defaults: minimal + html (also generates JSON)
Output:
eda_report.html - Interactive report for usereda_report.json - Machine-readable for Claude analysispython /mnt/skills/user/exploring-data/scripts/summarize_insights.py /mnt/user-data/outputs/eda_report.jsonReads: eda_report.json (comprehensive ydata output) Writes: eda_insights_summary.md (condensed for Claude) Outputs to stdout: Formatted markdown summary
Claude should read the stdout markdown summary, NOT the full JSON report.
# Standard workflow (user views HTML)
bash analyze.sh /mnt/user-data/uploads/data.csv
# Produces: eda_report.html + eda_report.json
# Link user to: computer:///mnt/user-data/outputs/eda_report.html
# User asks Claude to analyze
bash analyze.sh /mnt/user-data/uploads/data.csv
python summarize_insights.py /mnt/user-data/outputs/eda_report.json
# Claude reads the stdout markdown summary
# Claude can then provide analysis based on patterns/insights
# Full mode for comprehensive analysis
bash analyze.sh /mnt/user-data/uploads/data.csv full
# JSON-only output (skip HTML generation)
bash analyze.sh /mnt/user-data/uploads/data.csv minimal jsonMinimal (default, 5-10s): Dataset overview, variable analysis, correlations, missing values, alerts
Full (10-20s): Everything in minimal + scatter matrices, sample data, character analysis, more visualizations
"comprehensive analysis", "detailed EDA", "full profiling", "deep analysis"
Otherwise use minimal.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.