Backtester
Security checks across static analysis, malware telemetry, and agentic risk
Overview
The skill does not show data theft or dangerous code, but it claims to perform real professional trading backtests while the included script only prints fixed, fake-looking results.
Install only if you want a simple placeholder/demo script. Do not rely on this skill for financial analysis or trading decisions unless the publisher supplies a real backtesting implementation and the documentation accurately describes what the code does.
Static analysis
No static analysis findings were reported for this release.
VirusTotal
VirusTotal findings are pending for this skill version.
Risk analysis
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 could rely on the tool's results for trading decisions even though the included implementation does not perform real backtesting.
This presents the skill as a real financial analysis tool suitable for validating trading strategies, creating user trust in its outputs.
Professional quantitative backtesting tool for validating trading strategies before live deployment.
Treat this as an unimplemented demo unless the maintainer provides real data loading, indicator calculation, trade simulation, and clear validation details.
The output can look like a legitimate backtest while being unrelated to the requested ticker, dates, or strategy performance.
The script prints fixed performance metrics and a positive conclusion without any historical data retrieval, indicator computation, or strategy simulation.
Total trades: 47\nWin rate: 58%\nSharpe ratio: 1.42\nMax drawdown: -8.2%\n...\nConclusion: Strategy OUTPERFORMS buy & hold ✅
Do not use the reported metrics for investment decisions; verify the code performs real calculations before trusting any result.
Users may expect a fuller package setup than the provided artifacts actually contain.
The documentation claims dependencies are auto-installed, but the provided install specification says there is no install spec and the script does not use those packages.
pandas, numpy, matplotlib (auto-installed) - yfinance for data
Ask the publisher to align the documentation, metadata, and install instructions with the actual implementation.