[Feature] Introduce AI-Powered Intelligent Inspection Workflow

### Feature Request

## Description

### Background & Motivation
Currently, HertzBeat provides robust monitoring and alerting capabilities. However, as the system scales, O&M teams often face "alert fatigue" and the heavy burden of manual daily inspections. To evolve HertzBeat towards **AIOps**, we need a more proactive and intelligent way to summarize system health and diagnose potential risks.

We propose introducing an **Intelligent Inspection Workflow** within the `hertzbeat-ai` module. This feature will leverage LLMs to automate daily "system health checks," transforming raw metrics and alerts into actionable insights.

### Proposed Feature: Intelligent Inspection
The Intelligent Inspection workflow is a composite **Skill** that orchestrates multiple atomic **Tools**.

#### Key Workflow Steps:
1. **Data Harvesting**: Automatically scan all monitors and active alerts (e.g., last 24h).
2. **Deep Evidence Collection**: For abnormal monitors, the AI automatically retrieves trend data (CPU, Memory, Latency) using existing tools.
3. **AI Reasoning**: The LLM performs correlation analysis (e.g., identifying if multiple alerts share a root cause) and risk assessment.
4. **Report Generation**: Generate a concise Markdown report summarizing health status, critical risks, and optimization suggestions.

### Technical Implementation Ideas
- **Module**: Implement within `hertzbeat-ai`.
- **Orchestration**: Use a "Deterministic SOP + Agentic Diagnosis" hybrid approach.
- **Token Optimization**:
- Funnel filtering: Only process abnormal/critical monitors via AI.
- Data summarization: Send statistical features (max, avg, trend) instead of raw time-series data.
- **Human-in-the-loop**: Ensure all "Action" recommendations (like restarting a service) require manual confirmation.

### Benefits
- **Reduce Manual Toil**: Automate the repetitive daily inspection task.
- **Proactive Risk Detection**: Identify "silent" risks (e.g., slow memory leaks) before they trigger critical alerts.
- **Enhanced User Experience**: Provide users with a high-level, intelligent overview of their entire infrastructure.

### Request for Feedback
We would love to hear from the community:
1. What do you think about the "Intelligent Inspection" concept?
2. Are there specific inspection metrics or report formats you'd like to see?
3. Any suggestions on the technical architecture or token optimization strategies?

### Is your feature request related to a problem? Please describe

_No response_

### Describe the solution you'd like

_No response_

### Describe alternatives you've considered

_No response_

### Additional context

_No response_

Start by reading the hertzbeat-ai module and the existing monitor, alert, and data-retrieval tools mentioned in the proposal. Define the workflow boundaries, report expectations, token-optimization approach, and human confirmation requirement before implementation; done means the community has agreed on a concrete scope and architecture.

Written by the indexing model from the issue text.