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FactorHub A股量化数据
作者
michaelfeng
· GitHub ↗
· v0.1.2
· MIT-0
417
总下载
0
收藏
0
当前安装
4
版本数
在 OpenClaw 中安装
/install factorhub
功能描述
提供 5500+ 只 A 股的量化因子数据和财经指标，支持因子分析、行情查询、资金流向、财务分析及策略回测
使用说明 (SKILL.md)
FactorHub A股量化数据
提供 5500+ 只 A 股的量化因子数据和财经指标，通过 MCP 协议接入 AI Agent。
能力
- 因子数据：查询因子列表、因子评分指标、因子净值曲线
- 市场行情：个股日线、指数日线、估值指标（PE/PB/PS/股息率）
- 股票信息：个股基本面、股票筛选
- 交易日历：查询交易日
- 策略回测：涨停首板、低估值、动量、均值回归等内置策略
安装
clawhub install factorhub
安全使用建议
This skill appears coherent and low-risk from the metadata: it only requires a local 'factorhub-mcp' binary and asks for no credentials. Before installing or running it, verify the source of the factorhub‑mcp binary (use the official homepage or vendor-distributed package), confirm how 'clawhub install factorhub' fetches that binary, and consider running the binary in a controlled environment if you don't trust its origin. Also be aware the binary may open network connections to FactorHub services to fetch data — if that matters for your environment, audit or restrict network access accordingly.
功能分析
Type: OpenClaw Skill
Name: factorhub
Version: 0.1.2
The 'factorhub' skill bundle provides quantitative financial data and market indicators for A-shares via the Model Context Protocol (MCP). The metadata in _meta.json and the instructions in SKILL.md are consistent with the stated purpose of financial analysis and backtesting, showing no signs of malicious intent, prompt injection, or unauthorized data access.
能力评估
Purpose & Capability
The name/description (A‑share quant factors, market data, backtests) aligns with the single declared requirement: a 'factorhub-mcp' binary to connect via the MCP protocol. No unrelated binaries or credentials are requested.
Instruction Scope
SKILL.md is concise and scoped: it states the skill exposes data via MCP and lists capabilities. It does not instruct the agent to read arbitrary files, access unrelated env vars, or exfiltrate data to unexpected endpoints.
Install Mechanism
This is an instruction‑only skill with no install spec or code files. It requires the 'factorhub-mcp' binary to be present; the README suggests using 'clawhub install factorhub' but no installer URL or archive is embedded in the skill, which reduces direct supply‑chain risk. Verify how 'clawhub install' obtains the binary before trusting it.
Credentials
No environment variables, credentials, or config paths are required. The lack of sensitive env var requests is proportional to a read‑only data provider skill.
Persistence & Privilege
always is false and the skill is user‑invocable; autonomous invocation is allowed (platform default) but there is no request for persistent or cross‑skill configuration changes.
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 factorhub - 安装完成后，直接呼叫该 Skill 的名称或使用
/factorhub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
v0.1.2
fix display name
v0.1.1
fix duplicated text in summary
v1.1.0
v1.1: Added 3 composite analysis skills - stock_report, market_pulse, screen_stocks
v1.0.0
Initial release: 35 AI skills for China A-share quantitative analysis
元数据
常见问题
FactorHub A股量化数据 是什么？
提供 5500+ 只 A 股的量化因子数据和财经指标，支持因子分析、行情查询、资金流向、财务分析及策略回测. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 417 次。
如何安装 FactorHub A股量化数据？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install factorhub」即可一键安装，无需额外配置。
FactorHub A股量化数据 是免费的吗？
是的，FactorHub A股量化数据 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
FactorHub A股量化数据 支持哪些平台？
FactorHub A股量化数据 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 FactorHub A股量化数据？
由 michaelfeng（@michaelfeng）开发并维护，当前版本 v0.1.2。
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