Stock Strategy Backtester Clean

Backtest stock trading strategies on historical OHLCV data and report win rate, return, CAGR, drawdown, Sharpe ratio, and trade logs. Use when evaluating or...

This skill appears to do what it says (local CSV backtests) and requests no secrets, but the included Python file is truncated and contains an apparent typo that will likely cause runtime errors or incomplete output. Before using it on important data: (1) open and review the complete scripts/backtest_strategy.py file locally and fix obvious bugs (e.g., 'gros' -> 'gross' or correct variable name) and ensure the final output routine exists; (2) run the script in an isolated environment with small test CSVs to validate outputs and JSON contract; (3) do not supply any credentials or sensitive files; (4) if you rely on results for decisions, independently verify metrics with another trusted tool. If you want, I can (a) point out the exact lines that need fixing if you paste the full script, or (b) provide a small test CSV and expected output to validate behavior.

Type: OpenClaw Skill Name: stock-strategy-backtester-clean Version: 1.0.1 The skill bundle is a stock strategy backtester. The `SKILL.md` and `agents/openai.yaml` files contain clear, benign instructions for the AI agent, without any prompt injection attempts to subvert its behavior or encourage malicious actions. The `scripts/backtest_strategy.py` script reads a specified CSV file for OHLCV data, performs financial calculations, and prints a JSON summary to stdout. It uses standard libraries, handles file parsing errors, and does not contain any code for arbitrary command execution, network communication, data exfiltration, or persistence mechanisms. File access is strictly for reading and parsing the input CSV, which is essential for its stated purpose, and the script's parsing logic prevents it from disclosing arbitrary file contents.