← Back to Skills Marketplace
2364
Downloads
2
Stars
6
Active Installs
19
Versions
Install in OpenClaw
/install agent-stock
Description
股市 AI 量化交易，用于获取股市实时数据、选股、交易决策、持仓分析、量化交易决策等。
README (SKILL.md)
Agent Stock
帮助用户查询实时股市数据，分析数据，为用户提供交易决策。
Workflows
当用户有如下需求时，可以查看对应的文档，帮用户完成相关任务：
- 短线交易选股：参考文档 references/screen.md，为用户完成选股；
- 短线交易决策：参考文档 references/trade.md，为用户完成个股交易决策；
- 短线量化交易决策：参考文档 references/quant.md，为用户完成个股量化交易决策；
- 用户持仓分析：参考文档 references/holdings.md，为用户完成持仓分析；
Prerequisites
检查 stock 命令是否已安装：
stock -v
如果没有安装，需要先安装 stock 命令行工具：
uv:
uv tool install agent-stock
pip:
pip3 install agent-stock
如果用户没有 uv 或者 pip，需要先帮用户安装好 python 环境，然后使用 pip 安装 agent-stock 包。
Usage Guidance
This skill looks like a real stock/quant assistant, but be cautious: the instructions ask the agent to install a Python package named 'agent-stock' via pip and to install Python if missing—that could run arbitrary code from PyPI. Before installing or letting the agent run these commands, verify the provenance of that pip package (official project page, package owner, and checksum). Also, do not paste brokerage or trading API keys into chat; ask why and where credentials will be stored. Prefer skills that declare required credentials in metadata and provide a clear install source. If you intend to run this, run installation steps yourself in a controlled environment (isolated VM/container) and audit the pip package contents first.
Capability Analysis
Type: OpenClaw Skill
Name: agent-stock
Version: 0.2.8
The agent-stock skill bundle is a legitimate tool designed for stock market analysis and quantitative trading decisions. It provides structured workflows for stock screening, portfolio diagnosis, and technical analysis using a dedicated CLI tool (agent-stock). The instructions in SKILL.md and the reference documents (holdings.md, quant.md, screen.md, trade.md) are consistent with the stated financial analysis purpose and do not contain evidence of data exfiltration, malicious execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
Name/description (quantitative stock trading, screening, trade decisions) align with the instructions to call a 'stock' CLI and produce screening/trade reports. However, the docs reference using 'user account information' and performing trading actions while the skill declares no primary credential or required env vars; that omission is an inconsistency.
Instruction Scope
SKILL.md instructs the agent to run a local 'stock' CLI (stock index/quant/query/quote/detail/rank) and to save results to local files under dist/. It also tells the agent to install system components (Python/pip and then 'pip3 install agent-stock') if the CLI is missing. Asking the agent to install packages and manage the environment expands its runtime scope beyond pure analysis and could lead to executing arbitrary code. The doc also instructs to 'directly end' after saving (suppressing any additional output), which reduces transparency.
Install Mechanism
No formal install spec is declared in the registry, but the instructions explicitly direct installing an 'agent-stock' package via pip (and possibly installing Python). Having the agent perform a pip install of a package with the same name as the skill (without pinning a source or checksum) is a supply-chain risk: it may install arbitrary third‑party code from PyPI or elsewhere. This is a higher-risk install mechanism even though it is not part of the registry's install spec.
Credentials
The skill requests no environment variables or credentials in metadata, yet the workflow mentions using 'user account information' for decisions. If actual trading or account access is required, the skill should explicitly declare which credentials (broker API keys, exchange tokens) it needs. The absence of declared credentials but clear expectation of account-level data is a mismatch that could lead the agent to ask the user for sensitive secrets ad hoc.
Persistence & Privilege
always is false and the skill does not request persistent system-wide privileges. It writes output to local files (dist/...), which is consistent with its purpose. It does not claim to modify other skills or global agent settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install agent-stock - After installation, invoke the skill by name or use
/agent-stock - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.2.8
Release 0.2.8
v0.2.7
Release 0.2.7
v0.2.6
Release 0.2.6
v0.2.5
Release 0.2.5
v0.2.4
Release 0.2.4
v0.2.3
Release 0.2.3
v0.2.2
Release 0.2.2
v0.2.1
Release 0.2.1
v0.2.0
Release 0.2.0
v0.1.9
Release 0.1.9
v0.1.8
Release 0.1.8
v0.1.7
Release 0.1.7
v0.1.6
Release 0.1.6
v0.1.5
Release 0.1.5
v0.1.4
Release 0.1.4
v0.1.3
Release 0.1.3
v0.1.2
Release 0.1.2
v0.1.1
Release 0.1.1
v0.1.0
Release 0.1.0
Metadata
Frequently Asked Questions
What is agent-stock?
股市 AI 量化交易，用于获取股市实时数据、选股、交易决策、持仓分析、量化交易决策等。 It is an AI Agent Skill for Claude Code / OpenClaw, with 2364 downloads so far.
How do I install agent-stock?
Run "/install agent-stock" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is agent-stock free?
Yes, agent-stock is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does agent-stock support?
agent-stock is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created agent-stock?
It is built and maintained by AnoyiX (@anoyix); the current version is v0.2.8.
More Skills