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在 OpenClaw 中安装
/install quant-expert
功能描述
Quantitative analysis skill for the Chinese A-share market using Tushare Pro data and a holiday helper. Use when the user asks for stock screening, stock dia...
安全使用建议
This skill appears coherent for Tushare-based Chinese market analysis and legitimately needs only your TUSHARE_TOKEN and the standard Python packages (tushare, pandas, requests). Before enabling: 1) Ensure you inject the TUSHARE_TOKEN via OpenClaw config rather than hardcoding it; 2) install required Python packages from trusted sources in an isolated environment; 3) review and fix the shipped scripts — the provided file listing shows truncations/typos that will likely crash (fix 'star' → 'start', complete truncated functions/lines); 4) run the scripts in a sandbox first to confirm behavior; 5) be aware the holiday helper calls timor.tech and other scripts will call Tushare (both are networked APIs), so the token and any output could be exposed to those services. If you want higher assurance, request a complete, non‑truncated copy of the code or ask the publisher for checksum-signed releases.
功能分析
Type: OpenClaw Skill
Name: quant-expert
Version: 1.0.0
The 'quant-expert' skill bundle is a legitimate tool designed for quantitative analysis of the Chinese A-share market. It utilizes the Tushare Pro API for financial data and the timor.tech public API for holiday/trading day verification (in holiday_helper.py). The Python scripts (tushare_helper.py, stock_screener.py, stock_diagnosis.py) implement standard data retrieval and analysis logic using pandas without any evidence of obfuscation, unauthorized data exfiltration, or malicious execution. The instructions in SKILL.md and analysis_strategies.md are well-aligned with the stated purpose and do not contain harmful prompt-injection attempts.
能力评估
Purpose & Capability
Name/description (A‑share quant analysis using Tushare and a holiday helper) matches the actual artifacts: Python scripts that call Tushare Pro and a holiday API. The single main credential (TUSHARE_TOKEN) is exactly what this skill needs. Required binaries (python) and Python packages (tushare, pandas, requests) are appropriate for the stated purpose.
Instruction Scope
SKILL.md keeps scope focused on Tushare queries, screening, diagnosis, and optional event research for interpretation. It instructs the agent not to auto-install packages and to use Tushare as primary numeric source. It allows adding web evidence for interpretive tasks (which is reasonable), but does not hardcode external data sinks. Note: several bundled scripts in the provided listing appear truncated or contain obvious typos (e.g., 'star' instead of 'start' in holiday_helper.trading_days_range, unfinished lines like 'wi' in stock_diagnosis). Those are functional/integrity issues that will cause runtime failures unless corrected.
Install Mechanism
No install spec is provided (instruction-only install), so nothing is downloaded or written by the registry installer. This minimizes supply-chain risk. The scripts require standard Python packages but explicitly avoid auto-installation, which aligns with the SKILL.md rules.
Credentials
Only the Tushare credential is declared as primary (TUSHARE_TOKEN). The helper also looks for TUSHARE_PRO_TOKEN as an alternative, which is reasonable. No unrelated secrets or system config paths are requested. The skill accesses network APIs (Tushare via tushare library and timor.tech for holidays), which is expected for data retrieval.
Persistence & Privilege
always is false and model invocation is allowed (default). The skill does not request permanent elevated presence, nor does it indicate it will modify other skills or global agent configuration. Nothing in the package attempts to persist credentials to unexpected locations.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install quant-expert - 安装完成后，直接呼叫该 Skill 的名称或使用
/quant-expert触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
quant-expert 1.0.0 – Initial Release
- Provides quantitative analysis for the Chinese A-share market using Tushare Pro data and a holiday helper.
- Supports stock screening, stock diagnosis, market/sector analysis, money-flow checks, ETF/option data, macro data, trading-day and holiday queries.
- Enforces use of Tushare as the primary data source and requires a Tushare token configured via OpenClaw.
- Includes clear execution rules for both raw data queries and interpretive analysis.
- All operations reference bundled Python scripts through the OpenClaw `{baseDir}` path system.
元数据
常见问题
Quant-Expert 是什么？
Quantitative analysis skill for the Chinese A-share market using Tushare Pro data and a holiday helper. Use when the user asks for stock screening, stock dia... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 275 次。
如何安装 Quant-Expert？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install quant-expert」即可一键安装，无需额外配置。
Quant-Expert 是免费的吗？
是的，Quant-Expert 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Quant-Expert 支持哪些平台？
Quant-Expert 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（darwin, linux, win32）。
谁开发了 Quant-Expert？
由 Noah（@noah-wu66）开发并维护，当前版本 v1.0.0。
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