Diagnose and recover CoPaw agent services through status checks and fault triage.
npx skills add https://github.com/chujianyun/skills --skill copaw-ops
Please help me install this Agent Skill. Skill: copaw-ops Source: https://github.com/chujianyun/skills/tree/main/skills/operations/copaw-ops Command: npx skills add https://github.com/chujianyun/skills --skill copaw-ops
CoPaw deployments can fail in many ways—unresponsive daemons, disconnected channels, failed model calls, stalled cron jobs, or broken multi-agent workspaces—and operators need a structured runbook instead of guessing which restart command to run.
Ask the assistant to check why the CoPaw service is not responding and follow its diagnosis steps.
High-intent search queries and answers about installing and using this skill.
Start with copaw daemon status and copaw daemon logs -n 100 to check service health, then try /restart followed by copaw daemon reload-config. If it still fails, restart the process according to your deployment method such as systemctl, Docker, or supervisorctl.
List jobs with copaw cron list --agent-id <id>, then inspect the specific job state with copaw cron state <job_id>. Resume paused jobs with copaw cron resume and test manually using copaw cron run before checking jobs.json in the workspace.
Use copaw agent list to see all agents and add --agent-id <id> to models, channels, cron, and chats commands to target a specific agent. Each agent has an isolated workspace under ~/.copaw/workspaces/<agent-id>/ with its own config, skills, and memory.
Check the channel configuration with copaw channels config dingtalk and verify client_id, client_secret, and robot_code fields are set. Also confirm the robot is published in the DingTalk developer console and that Stream mode is configured correctly.
Avoid forced initialization until you have checked daemon logs and reloaded config, since it resets workspace state. It is a high-impact action that should only be used after confirming with the operator and backing up existing configuration.
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