← 返回 Skills 市场

Capital Flow Analysis

Name: Capital Flow Analysis
Author: gbabyzs

作者 GBABYZS · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

643

总下载

当前安装

版本数

在 OpenClaw 中安装

/install capital-flow-analysis

功能描述

Analyzes stock capital flows including main force net inflows, northbound holdings, and trading leaderboard data for informed investment decisions.

使用说明 (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

安全使用建议

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.

功能分析

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.

能力评估

ℹ 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.

ℹ 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.

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 capital-flow-analysis
安装完成后，直接呼叫该 Skill 的名称或使用 /capital-flow-analysis 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

Initial release - Capital flow analysis for Chinese A-shares

元数据

Slug capital-flow-analysis

版本 1.0.0

许可证 MIT-0

累计安装 5

当前安装数 4

历史版本数 1

常见问题