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Install in OpenClaw
/install stock-smart-analyse
Description
12维股票智能分析评分模型。基于行业、头部玩家、市场环境、管理团队、市值规模、主营业务、收入、利润、分红、回购、机构持股、大股东增减持12个维度对股票进行综合评分。触发词：股票分析、选股评分、股票评分、智能选股。
Usage Guidance
This skill appears internally consistent with its stated purpose: it runs a local Python scoring script and uses interactive or JSON input to produce reports. Before installing or running: (1) open and review the remainder of scripts/stock_analyse.py (the provided content was truncated) to confirm there are no unexpected network calls, telemetry, or subprocess execution; (2) run the script in an isolated environment (e.g., a sandbox or VM) the first time; (3) do not feed sensitive credentials or private files to the tool (it doesn't need them); (4) treat outputs as informational only and not as financial advice; and (5) if you want automated upstream data fetching, require explicit review and justification because the skill currently documents data sources but does not declare network behavior or credentials.
Capability Analysis
Type: OpenClaw Skill
Name: stock-smart-analyse
Version: 1.0.0
The skill bundle provides a legitimate 12-dimensional stock analysis scoring model. The Python script (scripts/stock_analyse.py) implements basic weighted-average calculations based on user-provided scores and generates Markdown or JSON reports without any network activity, external command execution, or access to sensitive system files.
Capability Assessment
Purpose & Capability
Name, description, SKILL.md and the included Python script all describe and implement a local 12-dimension stock scoring model (interactive input, JSON input, markdown/JSON output). No unrelated credentials, binaries, or cloud services are requested, which is coherent with the stated purpose.
Instruction Scope
SKILL.md instructs running the included Python script with flags (--stock, --interactive, --file, --output). The instructions do not direct the agent to read unrelated system files, secret env vars, or to transmit data to external endpoints. All described operations are limited to local input/output and analyst judgment.
Install Mechanism
There is no install spec; this is essentially an instruction-only skill with an included Python script. That minimizes installation risk because nothing is downloaded or written automatically to the system during install.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The code shown performs scoring and interactive prompts and references public data sources only in documentation; there is no apparent need for secrets or external tokens.
Persistence & Privilege
The skill does not request always:true and will not be force-enabled; it has no install-time persistence mechanism declared. It does not attempt to modify other skills or system configuration in the visible content.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install stock-smart-analyse - After installation, invoke the skill by name or use
/stock-smart-analyse - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
初始版本：12维度股票智能分析评分系统，支持交互式评分和报告生成
Metadata
Frequently Asked Questions
What is PJ选股智能评分12维模型?
12维股票智能分析评分模型。基于行业、头部玩家、市场环境、管理团队、市值规模、主营业务、收入、利润、分红、回购、机构持股、大股东增减持12个维度对股票进行综合评分。触发词：股票分析、选股评分、股票评分、智能选股。 It is an AI Agent Skill for Claude Code / OpenClaw, with 107 downloads so far.
How do I install PJ选股智能评分12维模型?
Run "/install stock-smart-analyse" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is PJ选股智能评分12维模型 free?
Yes, PJ选股智能评分12维模型 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does PJ选股智能评分12维模型 support?
PJ选股智能评分12维模型 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created PJ选股智能评分12维模型?
It is built and maintained by frankxpj (@frankxpj); the current version is v1.0.0.
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