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在 OpenClaw 中安装
/install stock-smart-analyse
功能描述
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。
安全使用建议
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.
功能分析
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.
能力评估
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.
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 stock-smart-analyse - 安装完成后,直接呼叫该 Skill 的名称或使用
/stock-smart-analyse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
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
元数据
常见问题
PJ选股智能评分12维模型 是什么?
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。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 107 次。
如何安装 PJ选股智能评分12维模型?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install stock-smart-analyse」即可一键安装,无需额外配置。
PJ选股智能评分12维模型 是免费的吗?
是的,PJ选股智能评分12维模型 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
PJ选股智能评分12维模型 支持哪些平台?
PJ选股智能评分12维模型 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 PJ选股智能评分12维模型?
由 frankxpj(@frankxpj)开发并维护,当前版本 v1.0.0。
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