Xalpha Fund Tool

xalpha 支持多市场基金组合分析，实现 A/C 份额成本比较、可转债估值、组合业绩归因及基金相关性分析。

This skill appears to be what it claims: an instruction-only finance/backtest helper built around the ZVT ecosystem. Before installing/running: (1) Confirm you have Python 3.12+ and are comfortable letting the agent run the precondition Python checks it lists; (2) expect it to create/use a data directory (ZVT_HOME default: ~/.zvt) and to run recorders that will fetch data from external providers — use a container or isolated environment if you want to limit filesystem/network impact; (3) do not supply unrelated credentials — paid data providers (joinquant/qmt) require separate API keys you should only provide if you trust them; (4) review references/seed.yaml and LOCKS.md if you need to verify fatal constraints (they require strict execution semantics, e.g., no look-ahead). Overall coherent, but exercise normal caution when allowing runtime Python execution and network access.

Type: OpenClaw Skill Name: xalpha-fund-tool Version: 0.3.3 The skill bundle is a highly structured financial analysis tool for fund portfolios and convertible bonds, built on the ZVT quant library. It contains extensive domain-specific logic, including 154 business decisions and 46 fatal constraints designed to prevent common financial errors like look-ahead bias and incorrect FIFO accounting. From a security perspective, the bundle includes proactive guardrails such as forbidding shell command chaining, explicitly warning against hardcoding credentials, and acknowledging the insecurity of Base64-encoded tokens (finance-C-006). There is no evidence of malicious intent, data exfiltration, or harmful prompt injection; all instructions are focused on enforcing financial accuracy and compliance.