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盘前简报Pro
作者
luckjackyer
· GitHub ↗
· v1.0.2
· MIT-0
230
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0
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0
当前安装
3
版本数
在 OpenClaw 中安装
/install stock-briefing
功能描述
纯离线的股市数据分析教学系统，无网络调用，仅使用模拟数据演示OpenClaw开发技术。 适合学习AI Agent开发、量化策略实现。
安全使用建议
This appears to be a straightforward offline teaching demo. Before installing: (1) review the script yourself (it’s small and in plain Python); (2) back up your OpenClaw workspace in case the cp -r overwrites files; (3) run it from a non-root account and avoid copying into system-wide/root directories unless intended; (4) confirm config.json push_channel is set to 'none' or 'console' if you don't want any external integrations; and (5) remember this is educational only and not investment advice.
功能分析
Type: OpenClaw Skill
Name: stock-briefing
Version: 1.0.2
The skill bundle is a mock stock analysis tool designed for educational purposes, featuring entirely offline operation and simulated data generation. The primary script, scripts/pre_market_briefing_public.py, uses the random module to generate stock prices and indices, performs local mathematical calculations for technical analysis, and writes reports to a local logs directory. There are no network calls, sensitive data access, or suspicious execution patterns found in the code or instructions.
能力评估
Purpose & Capability
Name/description claim an offline teaching demo; the included Python script and SKILL.md implement exactly that (local simulated data, technical calculations, 5 example strategies). There are no unexpected credentials, APIs, or binaries required.
Instruction Scope
Runtime instructions are limited and specific: copy files to the OpenClaw workspace, run the Python script, optional cron entry. The script only reads/writes config.json and logs/ in its directory and does not access other system paths, environment variables, or external endpoints.
Install Mechanism
No install spec — instruction-only installation (manual copy). No downloads, package managers, or archive extraction are used. Note: the suggested cp -r into ~/.openclaw/workspace may overwrite existing files in that workspace if names collide; that's an operational caution but not a malware indicator.
Credentials
The skill requests no environment variables or credentials. The config contains a placeholder user_open_id and a local push_channel option (none/console) — these are local config fields used only for demonstration and do not expose secrets.
Persistence & Privilege
always:false and normal model invocation. The script can be scheduled via cron if the user chooses (the SKILL.md shows an example), which is user-controlled persistence; nothing in the skill forces persistent system-wide changes or modifies other skills.
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-briefing - 安装完成后，直接呼叫该 Skill 的名称或使用
/stock-briefing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
v1.0.2
v1.0.2 纯离线教学版：彻底移除网络调用，100%模拟数据，通过ClawHub安全扫描
v1.0.1
v1.0.1 安全合规版：移除敏感词，改为教学演示用途，符合ClawHub规范
v1.0.0
首次发布：完整的盘前简报系统，包含自动交易和选股策略
元数据
常见问题
盘前简报Pro 是什么？
纯离线的股市数据分析教学系统，无网络调用，仅使用模拟数据演示OpenClaw开发技术。 适合学习AI Agent开发、量化策略实现。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 230 次。
如何安装 盘前简报Pro？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install stock-briefing」即可一键安装，无需额外配置。
盘前简报Pro 是免费的吗？
是的，盘前简报Pro 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
盘前简报Pro 支持哪些平台？
盘前简报Pro 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 盘前简报Pro？
由 luckjackyer（@luckjackyer）开发并维护，当前版本 v1.0.2。
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