Auto Data Analyzer
PassAudited by ClawScan on May 1, 2026.
Overview
This instruction-only data-analysis skill appears purpose-aligned, but its setup examples use unpinned Python packages and reference code files that are not included.
Before using this skill, treat it as documentation rather than a complete reviewed tool: install the listed Python packages in an isolated environment, consider pinning versions, and only analyze data files you intend to process locally.
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.
Installing unpinned packages changes the Python environment and trusts whatever versions are currently available; referenced missing files may lead users to look for or create code outside the reviewed artifact.
The skill gives a user-directed package installation command without version pins and references local analyzer/main.py code that is not included in the provided artifact set.
pip install pandas numpy matplotlib seaborn scikit-learn ... from analyzer import DataAnalyzer ... python main.py data.csv --output report.html
Use a virtual environment, install packages from a trusted package index, pin dependency versions where possible, and avoid downloading analyzer/main.py or similar helper files from untrusted sources.