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盘前简报Pro
by
luckjackyer
· GitHub ↗
· v1.0.2
· MIT-0
230
Downloads
0
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0
Active Installs
3
Versions
Install in OpenClaw
/install stock-briefing
Description
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。
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install stock-briefing - After installation, invoke the skill by name or use
/stock-briefing - Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Frequently Asked Questions
What is 盘前简报Pro?
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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 230 downloads so far.
How do I install 盘前简报Pro?
Run "/install stock-briefing" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 盘前简报Pro free?
Yes, 盘前简报Pro is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 盘前简报Pro support?
盘前简报Pro is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 盘前简报Pro?
It is built and maintained by luckjackyer (@luckjackyer); the current version is v1.0.2.
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