China Stock Quant
v1.0.0A-share quantitative analysis toolkit. Use when user wants to analyze Chinese stocks, backtest trading strategies, calculate technical indicators (MACD/KDJ/R...
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description match the included Python scripts: fetch_data.py (akshare calls), technical_indicators.py (MACD/KDJ/RSI/Bollinger/etc.), and backtest.py (grid/MA/Bollinger backtests and risk metrics). Required libraries (akshare, pandas, numpy, matplotlib) are appropriate for the stated functionality.
Instruction Scope
SKILL.md instructs installing common Python packages and using the provided scripts; runtime instructions only reference stock/ETF data, indicator calculation, and backtests. There are no instructions to read unrelated local files, environment secrets, or to send data to external endpoints beyond the normal network calls used by akshare.
Install Mechanism
No install spec in the registry (instruction-only). SKILL.md suggests pip installing well-known packages (akshare/pandas/numpy/matplotlib). This is standard for a Python data-analysis toolkit; there are no downloads from unknown URLs or archive extraction steps in the skill metadata.
Credentials
The skill requests no environment variables or credentials. It uses akshare, which performs web requests/scraping to fetch market data — network access is required but is proportional to the skill's purpose. No secrets or unrelated credentials are requested.
Persistence & Privilege
The skill is not always-enabled and does not request elevated persistence. It does not modify other skills or system-wide settings. Agent autonomous invocation remains allowed (platform default) but is not combined with other concerning flags.
Assessment
This package appears to do what it says: fetch Chinese market data (via akshare), compute indicators, and run backtests. Things to consider before installing: 1) akshare scrapes public data sources — it will make outbound network requests; if you must restrict network access, run in a sandbox. 2) pip installing packages runs third‑party code from PyPI — consider pinning versions (e.g., akshare==<version>) and review package histories. 3) No credentials are requested, so do not supply API keys or trading credentials to this skill. 4) Test on cached or small datasets before using real capital; backtest code is a simple simulator and may not cover execution slippage, fees, or real-world constraints. If you want extra assurance, run the provided scripts in an isolated environment and inspect akshare's behavior or pin its version.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.