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hqwuzhaoyi
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cam-notify

Process CAM system events with risk-based approval and notification workflows.

1|Updated Feb 3, 2026
Search Tags:#monitoring#ai agent#risk assessment#event handling#notification#permission request
One-click install
npx skills add https://github.com/hqwuzhaoyi/code-agent-monitor --skill cam-notify-hqwuzhaoyi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cam-notify
Source: https://github.com/hqwuzhaoyi/code-agent-monitor/tree/main/skills/cam-notify
Command: npx skills add https://github.com/hqwuzhaoyi/code-agent-monitor --skill cam-notify-hqwuzhaoyi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you manage and respond to events generated by AI coding agents, ensuring you are notified of critical actions, can approve requests, and understand agent status without constant monitoring.

Core Features & Use Cases

  • Event Handling: Processes various CAM system events like permission requests, waiting for input, and agent exits.
  • Intelligent Decision Making: Implements a three-layer model (whitelist, blacklist, LLM) to decide whether to auto-approve, request human confirmation, or notify the user based on risk levels.
  • Formatted Notifications: Generates clear, concise messages for users based on event type and risk, prioritizing AI-extracted information.
  • Use Case: When an AI agent needs to execute a potentially risky command like rm -rf, this Skill will analyze the command, determine its high risk, and prompt you for explicit confirmation before allowing the agent to proceed.

Quick Start

Use the cam-notify skill to process a system event payload received from the CAM system.

Frequently Asked Questions about cam-notify

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

FAQPage Schema
How do I handle AI agent permission requests for risky commands?▼

AI agent permission requests for risky commands are handled using a three-layer risk assessment model. This system evaluates commands against whitelist, blacklist, and LLM criteria to decide whether to auto-approve, require human confirmation, or notify the user.

How do I set up notifications for AI coding agent events?▼

Notifications for AI coding agent events are generated by processing CAM system event payloads. The skill formats concise messages prioritizing AI-extracted information, enabling efficient remote agent management without constant monitoring.

Can I auto-approve agent events while still getting notified about errors?▼

Yes, you can auto-approve agent events while receiving notifications about errors. The multi-layered decision model processes agent exits, errors, and input requests separately, routing formatted notifications based on specific event types and risk levels.

What is the best way to manage remote AI agent status without constant monitoring?▼

Managing remote AI agent status without constant monitoring is achieved through notification aggregation and reply routing. This approach processes various CAM system events, ensuring you only receive formatted alerts for critical actions and status changes.

Does the event handling system support waiting for user input workflows?▼

Yes, the event handling system supports waiting for user input workflows. It manages CAM system events by routing formatted messages to users, pausing agent execution until explicit human confirmation is received for specific actions.

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