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在 OpenClaw 中安装
/install quantflow-skill
功能描述
面向中文自然语言的量化金融数据研究技能。用于把"看看这只股票最近怎么样""帮我查财报趋势""最近哪个板块最强""北向资金在买什么""给我导出一份行情数据"这类请求，转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究...
安全使用建议
This skill appears coherent and focused on fetching market/macroeconomic data and running backtests with Akshare/AKQuant. Before installing: (1) confirm you trust akshare and akquant from PyPI and keep them up to date; (2) run the example scripts in a sandbox environment (no production brokerage credentials) — AKQuant can support live execution if configured, so do not provide any broker API keys or trading credentials unless you intentionally want live trading; (3) expect the skill to perform network requests to public data sources; (4) if you only want read-only analysis, avoid connecting any live-execution plugins or credentials.
功能分析
Type: OpenClaw Skill
Name: quantflow-skill
Version: 1.1.1
The quantflow-skill bundle is a comprehensive toolkit for quantitative financial research using the akshare and akquant libraries. The SKILL.md file provides structured instructions for an AI agent to translate natural language financial queries into data processing workflows, including safety constraints against automated trading. The included Python scripts (e.g., akquant_strategies.py, stock_data_demo.py) implement standard trading strategies and data retrieval methods without any evidence of malicious intent, data exfiltration, or unauthorized system access.
能力评估
Purpose & Capability
Name and description (quantitative research, data fetching, cleaning, export, AKQuant backtests) match the declared requirements (akshare, akquant, network access) and the included scripts which call akshare/akquant APIs. There are no unrelated credentials, binaries, or configuration paths requested.
Instruction Scope
SKILL.md stays on-topic (data workflows, interface names, caching, output formats). The repository includes example scripts that implement backtests and call buy/sell methods (AKQuant Strategy classes) — appropriate for backtesting demos but worth noting: if AKQuant is later configured for live execution, similar code could be repurposed to place orders. The skill does not instruct reading unrelated local files or exfiltrating data.
Install Mechanism
No install spec; SKILL.md recommends pip installs for akshare and akquant which is proportionate. There are no downloads from untrusted URLs or archive extracts. Example code is included but not automatically installed.
Credentials
The skill requests no environment variables or credentials. Network access is declared and justified because akshare fetches market data. There are no unexplained secret requests or cross-service credentials.
Persistence & Privilege
always is false and the skill does not ask to modify other skills or system-wide config. Autonomous invocation is allowed by platform default but not combined with other red flags here.
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 quantflow-skill - 安装完成后，直接呼叫该 Skill 的名称或使用
/quantflow-skill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
v1.1.1
quantflow-skill 1.1.1
- 增加了详细的 SKILL.md 文档，明确了适用场景、默认行为、接口分类、数据处理规范和错误处理策略。
- 优化了自然语言财经数据请求到 Akshare 数据工作流的映射规则。
- 定义了任务类型、实体解析、数据获取与标准输出流程，提升了稳定性和易用性。
- 加强了缓存、异常、数据质量管理和回测支持的说明。
- 提供了推荐核心接口集和最佳实践参考。
元数据
常见问题
Quantflow Skill 是什么？
面向中文自然语言的量化金融数据研究技能。用于把"看看这只股票最近怎么样""帮我查财报趋势""最近哪个板块最强""北向资金在买什么""给我导出一份行情数据"这类请求，转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 140 次。
如何安装 Quantflow Skill？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install quantflow-skill」即可一键安装，无需额外配置。
Quantflow Skill 是免费的吗？
是的，Quantflow Skill 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Quantflow Skill 支持哪些平台？
Quantflow Skill 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Quantflow Skill？
由 yejinlei（@yejinlei）开发并维护，当前版本 v1.1.1。
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