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sentinel

Generate A-share market analysis and trading actions from AkShare quotes and news.

21|5|Updated Jan 15, 2026
Search Tags:#market analysis#risk management#trading signals#a-share#cli automation#portfolio review#news radar
One-click install
npx skills add https://github.com/sunny-kobe/ai_sentiney --skill sentinel-sunny-kobe
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sentinel
Source: https://github.com/sunny-kobe/ai_sentiney/tree/main
Command: npx skills add https://github.com/sunny-kobe/ai_sentiney --skill sentinel-sunny-kobe

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3.

What problem does it solve?

This Skill helps A-share investors and developers quickly convert messy market data and news into clear, risk-aware trading actions and trend explanations, without manually switching between行情软件、新闻流与群消息。

Core Features & Use Cases

  • A-share market analysis & execution-mode reporting: Supports midday, pre-close, close, and swing modes with structured outputs.
  • Rule-first decisioning with validation snapshots: Uses a MA20-based signal system and swing validation (e.g., 10/20/40-day evaluation) to constrain recommendations.
  • Ask/Follow-up routing (cached context Q&A): Routes most non-report questions into the Sentinel CLI using --ask, returning stdout as-is.
  • Optional publishing: Publish reports to Feishu and/or Telegram when explicitly requested.

Quick Start

Ask the AI to run the midday analysis and return the report: "Run the midday A-share report for me."

Frequently Asked Questions about sentinel

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate A-share trading actions with risk management guardrails?▼

To generate A-share trading actions with guardrails, run the Sentinel CLI by specifying an execution mode like midday, preclose, close, or swing. The system applies a MA20-based signal system to constrain recommendations.

What is the best way to analyze Chinese A-share market quotes and news together?▼

Analyzing A-share quotes and news together involves routing market data through a CLI tool that fetches AkShare-derived data. It converts messy market feeds into structured trend explanations and risk-aware execution reports.

Does the A-share market analysis require Python3 to run locally?▼

Yes, the A-share market analysis requires python3 installed locally to execute the Sentinel CLI. This dependency allows the tool to fetch AkShare-derived quotes and process cached context for follow-up questions.

Can I ask follow-up questions about my portfolio review without regenerating a full report?▼

You can ask follow-up portfolio review questions by routing non-report queries through the Sentinel CLI using the ask command. This returns stdout directly by leveraging cached context without triggering full report generation.

How do I publish A-share trading signals to team messaging platforms?▼

To publish A-share trading signals to team platforms, explicitly request report publishing during your CLI session. The system supports pushing finalized market analysis reports directly to Feishu and Telegram.

When should I use swing mode versus midday mode for market analysis?▼

Use swing mode for longer-term trend validation using 10, 20, and 40-day evaluation periods, whereas midday mode provides intraday A-share market analysis and execution-mode reporting during active trading hours.

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