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Install in OpenClaw
/install capital-flow-analysis
Description
Analyzes stock capital flows including main force net inflows, northbound holdings, and trading leaderboard data for informed investment decisions.
README (SKILL.md)
Capital Flow Analysis - 资金流向分析
功能说明
分析股票资金流向，包括主力资金、北向资金、龙虎榜数据。
核心功能
主力资金
- 主力净流入/流出
- 大单/中单/小单分布
- 主力建仓/出货识别
北向资金
- 沪股通/深股通持股
- 外资持仓变化
- 北向资金偏好分析
龙虎榜
- 上榜股票分析
- 机构席位买卖
- 游资动向追踪
使用示例
from capital_flow import analyze_main_force, analyze_northbound
# 主力资金分析
main_force = analyze_main_force(stock_code="300308")
# 北向资金分析
northbound = analyze_northbound(stock_code="300308")
数据源
- 东方财富资金流向
- 沪深港通数据
- 交易所龙虎榜
Usage Guidance
This skill appears to honestly implement main-force and northbound capital-flow analysis, but it advertises a 'dragon_tiger_list'/龙虎榜 export that is missing from the code. Before installing or relying on it: 1) Verify the missing function — ask the publisher or inspect a newer release; 2) Run the code in an isolated virtual environment so pip can safely install akshare and pandas; akshare will fetch data from external web sources (that's expected); 3) Test the functions with known tickers to confirm column name assumptions and error handling (the code returns exception strings if data fields differ); 4) If you need the 龙虎榜 feature, don't assume it's present — require an update or implement it yourself; 5) If you don't trust the unknown source owner, avoid installing or review the package dependencies and network behavior first.
Capability Analysis
Type: OpenClaw Skill
Name: capital-flow-analysis
Version: 1.0.0
The skill bundle provides legitimate financial analysis tools for stock capital flow using the standard 'akshare' library. The code in capital_flow.py and instructions in SKILL.md are consistent with the stated purpose, and no indicators of data exfiltration, malicious execution, or prompt injection were found.
Capability Assessment
Purpose & Capability
The code implements analyze_main_force and analyze_northbound which align with the skill's stated purpose (主力资金 and 北向资金). However, the skill manifest (skill.json exports) and SKILL.md advertise 龙虎榜/dragon_tiger_list functionality that is not implemented in capital_flow.py — an explicit mismatch between described capability and provided code.
Instruction Scope
SKILL.md instructions and examples are narrowly scoped to calling the two implemented functions and list reasonable data sources (东方财富, 沪深港通, 交易所龙虎榜). The instructions do not ask the agent to read unrelated files, environments, or send data to unexpected endpoints.
Install Mechanism
There is no install spec but the manifest declares dependencies (akshare, pandas). This likely implies pip installation at runtime; akshare will perform network requests to fetch market data. No arbitrary URL downloads or extracted archives are present in the package, which lowers install risk, but installing dependencies from PyPI can still pull many transitive packages — reasonable for a Python data skill but worth noting.
Credentials
No environment variables, credentials, or config paths are requested. The skill does not require sensitive tokens for its stated data sources, so requested access is proportionate.
Persistence & Privilege
The skill does not request always:true and makes no modifications to other skills or system-wide settings. Agent autonomous invocation is allowed by default (disable-model-invocation:false) which is normal for skills and not, by itself, a red flag.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install capital-flow-analysis - After installation, invoke the skill by name or use
/capital-flow-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release - Capital flow analysis for Chinese A-shares
Metadata
Frequently Asked Questions
What is Capital Flow Analysis?
Analyzes stock capital flows including main force net inflows, northbound holdings, and trading leaderboard data for informed investment decisions. It is an AI Agent Skill for Claude Code / OpenClaw, with 643 downloads so far.
How do I install Capital Flow Analysis?
Run "/install capital-flow-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Capital Flow Analysis free?
Yes, Capital Flow Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Capital Flow Analysis support?
Capital Flow Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Capital Flow Analysis?
It is built and maintained by GBABYZS (@gbabyzs); the current version is v1.0.0.
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