Pyfolio Performance

基于 pyfolio-reloaded 的投资组合绩效分析：一键生成 tear sheet（夏普、回撤、 年化、换手、个股往返交易、行业归因）。适用于回测后的标准化报告。

This skill appears to be a coherent finance backtest/tear-sheet helper, but the packaging is sloppy and some runtime actions are underspecified. Before installing or invoking it: 1) Confirm you trust the skill source (homepage is missing). 2) Expect the agent may run Python commands and install packages (it references pip/zvt/uv) and will read/write a local ZVT_HOME — run it in a sandbox or disposable environment. 3) Verify the missing LICENSE.txt and any dependency list (ask the author for a requirements list or a proper install spec). 4) Do not provide unrelated credentials; if you plan to use paid data providers (joinquant/qmt), supply their keys only after verifying why and where they are used. 5) If you need higher assurance, request a version with an explicit install manifest (requirements.txt or lockfile) and a source/homepage you can audit.

Type: OpenClaw Skill Name: pyfolio-performance Version: 0.3.2 The pyfolio-performance skill bundle is a highly structured financial analysis tool designed for the OpenClaw/Doramagic ecosystem. It provides comprehensive tear sheet generation and backtesting validation using the pyfolio-reloaded and zvt frameworks. The bundle includes extensive 'semantic locks' and 'domain constraints' (found in SKILL.md and references/seed.yaml) specifically designed to prevent common quantitative finance errors such as look-ahead bias, survivorship bias, and improper transaction cost modeling. The installation recipes and execution protocols are standard for the stated purpose, and no evidence of malicious intent, data exfiltration, or harmful prompt injection was found.