CAM 端到端测试 Skill

Test the CAM notification pipeline end-to-end via OpenClaw.

1|Updated Feb 3, 2026

Search Tags:#testing #monitoring #e2e #notification #openclaw #cam

Ready to run

npx skills add https://github.com/hqwuzhaoyi/code-agent-monitor --skill cam-skill-hqwuzhaoyi

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: CAM 端到端测试 Skill
Source: https://github.com/hqwuzhaoyi/code-agent-monitor/tree/main/skills/cam-e2e-test
Command: npx skills add https://github.com/hqwuzhaoyi/code-agent-monitor --skill cam-skill-hqwuzhaoyi

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill ensures the complete and reliable functioning of the CAM notification system by performing end-to-end testing of the entire notification pipeline.

Core Features & Use Cases

Environment Check: Verifies the status of CAM, OpenClaw gateway, and channel configurations.
Agent Lifecycle Testing: Tests the process of starting, registering, and stopping agents.
Notification Verification: Simulates and validates the content and delivery of various notification types.
Use Case: Before deploying a new version of CAM, run this Skill to confirm that all notification scenarios, from agent registration to message delivery, are working as expected.

Quick Start

Execute the end-to-end test for the CAM notification system.

Frequently Asked Questions about CAM 端到端测试 Skill

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

FAQPage Schema

How do I test the CAM notification system end-to-end before deploying a new version?▼

You can test the CAM notification system end-to-end by running a Skill that verifies agent registration, watcher processes, and OpenClaw notification delivery. It simulates idle prompts and permission requests using dry-run validation to ensure pipeline integrity.

What does end-to-end notification testing verify in the Code Agent Monitor pipeline?▼

End-to-end notification testing verifies the complete Code Agent Monitor pipeline, including environment configurations, agent lifecycle processes, and OpenClaw message delivery. It ensures watcher processes and notification routing function correctly across various scenarios.

Can I use dry-run validation to test CAM agent registration and watcher processes?▼

Yes, you can use dry-run validation to test CAM agent registration and watcher processes. The testing approach simulates agent starting, registering, and stopping, validating notification delivery without executing actual system changes.

How do I check if the OpenClaw gateway and channel configurations are working for CAM notifications?▼

To check OpenClaw gateway and channel configurations for CAM notifications, run an environment check that verifies the status of CAM, gateway connectivity, and channel settings before simulating notification delivery scenarios.

What notification scenarios are covered when testing the CAM monitoring and alerting pipeline?▼

Testing the CAM monitoring and alerting pipeline covers notification scenarios including idle prompts and permission requests. It validates message content and delivery through the OpenClaw gateway to ensure complete system reliability.