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FactorHub A股量化数据
by
michaelfeng
· GitHub ↗
· v0.1.2
· MIT-0
417
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4
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Install in OpenClaw
/install factorhub
Description
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
README (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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install factorhub - After installation, invoke the skill by name or use
/factorhub - Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Frequently Asked Questions
What is 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，支持因子分析、行情查询、资金流向、财务分析及策略回测. It is an AI Agent Skill for Claude Code / OpenClaw, with 417 downloads so far.
How do I install FactorHub A股量化数据?
Run "/install factorhub" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is FactorHub A股量化数据 free?
Yes, FactorHub A股量化数据 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does FactorHub A股量化数据 support?
FactorHub A股量化数据 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created FactorHub A股量化数据?
It is built and maintained by michaelfeng (@michaelfeng); the current version is v0.1.2.
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