投资组合分析技能
PassAudited by ClawScan on May 1, 2026.
Overview
The skill appears to perform local CSV-based portfolio backtests and generate local reports, with only minor setup/documentation inconsistencies to review before installing.
Use an explicit non-sensitive CSV path and output directory, install only the necessary Python packages in a trusted environment, and do not provide API keys because the artifacts do not show any need for them.
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.
A user might install unnecessary packages or follow stale commands, slightly expanding the dependency surface and causing confusion.
SKILL.md includes unpinned extra dependencies and references a financial_analysis.py entry point that is not reflected in the current manifest/main usage, creating a small setup and provenance ambiguity even though the provided code and other docs describe local-only CSV analysis.
pip install yfinance pandas numpy matplotlib seaborn plotly ... python financial_analysis.py --portfolio example_portfolio.json --output ./output
Install only the dependencies actually needed by the current files, use optimized_main.py as documented elsewhere, and ask the maintainer to update SKILL.md or include the missing entry point if it is intentional.