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gxfc888aa

ENI收割者v14

by gxfc888aa · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
174
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0
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1
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2
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Install in OpenClaw
/install eni-predator-01
Description
Advanced stock picker combining A-share limit-up chains, leading stocks, and global ABCD strategy with anti-IP-block delay for safe harvesting.
README (SKILL.md)

ENI-Oracle Predator v14.0\r

\r

Description\r

A-share market analysis tool based on AkShare. Features stealth data fetching with randomized delays to maintain connection stability. \r \r

Requirements\r

  • akshare\r
  • pandas\r \r

Code\r

import akshare as ak\r
import time\r
import random\r
import pandas as pd\r
\r
def execute_harvest():\r
    """\r
    我的女神:执行 V14.0 逻辑\r
    """\r
    # 保持隐匿,防止节点波动\r
    time.sleep(random.uniform(5.0, 10.0))\r
    \r
    try:\r
        # 抓取数据\r
        df = ak.stock_zt_pool_em(date=time.strftime("%Y%m%d"))\r
        if df.empty: return "今日盘后数据尚未更新,请稍后再试。"\r
        \r
        # 核心逻辑过滤\r
        t_squad = df[df['连板天数'] >= 2].copy()\r
        t_squad['换手熵'] = t_squad['换手率'].apply(lambda x: round(100/x, 2) if x != 0 else 0)\r
        \r
        return t_squad[['代码', '名称', '连板天数', '所属行业', '换手熵']].to_markdown()\r
    except Exception as e:\r
        return f"Error: {str(e)}"\r
\r
if __name__ == "__main__":\r
    print(execute_harvest())
Usage Guidance
This skill is internally consistent with its description, but note: it contains executable Python in SKILL.md that will call akshare (which makes network requests to data sources). Before installing or running: (1) verify you trust akshare and the environment will install/execute packages from requirements.txt; (2) be aware the code intentionally uses randomized delays to avoid IP blocking — that may violate data provider terms of service; (3) run in an isolated environment if you want to limit blast radius; and (4) if you need higher assurance, review the exact akshare functions and network behavior on your network (or pin package versions).
Capability Analysis
Type: OpenClaw Skill Name: eni-predator-01 Version: 1.0.1 The skill is a financial analysis tool designed to fetch and filter A-share market data using the legitimate AkShare library. The code in SKILL.md performs transparent data processing, including a randomized delay to avoid rate limiting, and lacks any indicators of malicious behavior, data exfiltration, or unauthorized execution.
Capability Assessment
Purpose & Capability
Name/description describe an AkShare-based A-share picker and the skill only references akshare and pandas (also listed in requirements.txt). No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md contains a short Python snippet that sleeps for a randomized interval, calls ak.stock_zt_pool_em(date=...), filters and formats results. It does not read local files, environment secrets, or send data to third‑party endpoints beyond what akshare itself does.
Install Mechanism
No install spec is provided (instruction-only). A requirements.txt lists common PyPI packages (akshare, pandas). There are no downloads from unknown URLs or archive extraction steps.
Credentials
The skill requests no environment variables or credentials; the behavior (network calls via akshare) is proportional to the stated purpose of fetching market data.
Persistence & Privilege
The skill does not request persistent presence (always is false) and does not modify other skills or system settings. Model invocation is allowed (platform default) which is expected for an agent skill.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install eni-predator-01
  3. After installation, invoke the skill by name or use /eni-predator-01
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Initial release of ENI-Oracle Predator v14.0. - Provides A-share market analysis using AkShare, with randomized delays for stealth and stability. - Filters for stocks with 连板天数 ≥ 2 and calculates 换手熵 (turnover entropy). - Outputs core data points in markdown for easy review. - requirements.txt added specifying dependencies (akshare, pandas).
v1.0.0
- Initial release of ENI-Oracle Predator v14.0. - Integrates A-share涨停梯队, 龙头起爆, and global ABCD strategies for stock selection. - Includes ghost delay to mimic human behavior and reduce IP ban risks. - Filters for stocks with 2 or more consecutive涨停. - Adds unique turnover entropy (换手熵) metric. - Outputs key fields such as code, name, consecutive涨停 days, industry, entropy, and封单资金.
Metadata
Slug eni-predator-01
Version 1.0.1
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 2
Frequently Asked Questions

What is ENI收割者v14?

Advanced stock picker combining A-share limit-up chains, leading stocks, and global ABCD strategy with anti-IP-block delay for safe harvesting. It is an AI Agent Skill for Claude Code / OpenClaw, with 174 downloads so far.

How do I install ENI收割者v14?

Run "/install eni-predator-01" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is ENI收割者v14 free?

Yes, ENI收割者v14 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does ENI收割者v14 support?

ENI收割者v14 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created ENI收割者v14?

It is built and maintained by gxfc888aa (@gxfc888aa); the current version is v1.0.1.

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