ai-motherAI Mother - Monitor and manage other AI agents (Claude Code, Codex, Gemini, etc.). Use when asked to check AI execution status, supervise AI agents, help stu...
Install via ClawdBot CLI:
clawdbot install guguoyi/ai-motherGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
rm -rf ~Accesses system directories or attempts privilege escalation
/proc/Uses known external API (expected, informational)
open.feishu.cnAI Analysis
The skill primarily monitors and manages local AI agents with legitimate system access (proc, process management). While it contains potentially destructive commands (rm -rf) and accesses system directories, these appear consistent with its supervisory role. No evidence of data exfiltration, credential harvesting, or hidden malicious instructions.
Audited Apr 18, 2026 · audit v1.0
Generated Mar 21, 2026
Monitor multiple AI agents (Claude Code, Codex, OpenCode) working on software projects to ensure they are active and not stuck. Automatically run patrol.sh to scan agents, diagnose issues like idle states or duplicates, and escalate to human managers when needed. This reduces manual oversight and improves development efficiency by quickly resolving blockers.
Supervise AI agents handling data analysis, code generation, and experiment automation in a research environment. Use the dashboard to visualize agent status and run cleanup-duplicates.sh to prevent redundant tasks. This ensures resources are optimized and projects progress smoothly without overlapping efforts.
Manage AI agents deployed for automated customer support, using patrol.sh to check their responsiveness and handle-owner-response.sh for permission confirmations. This allows quick intervention if agents get stuck, maintaining service quality and reducing downtime in high-volume support operations.
Coordinate AI agents generating text, code, or media content across multiple projects. Run smart-diagnose.sh to detect abnormal patterns like loops and use analytics.py for performance insights. This streamlines content production by identifying inefficiencies and ensuring agents stay on task.
Supervise AI agents involved in continuous integration and deployment processes, using health-check.sh for auto-healing and track-conversation.sh to monitor escalation triggers. This enhances pipeline reliability by proactively addressing failures and coordinating tasks among agents.
Offer AI Mother as a cloud-based service with tiered plans (e.g., basic for small teams, premium for enterprises). Revenue comes from monthly subscriptions based on the number of AI agents monitored and features like advanced analytics or priority support. This model provides recurring income and scales with client usage.
Sell on-premise licenses to large organizations needing full control over their AI agent supervision. Include customization, integration support, and training services. Revenue is generated through one-time license fees and annual maintenance contracts, catering to industries with strict data security requirements.
Provide a free version with basic monitoring features like patrol.sh and dashboard, then charge for advanced tools such as smart-diagnose.sh or Feishu notifications. Revenue streams from upsells to premium features and consulting for setup or optimization, attracting users who can later convert to paying customers.
💬 Integration Tip
Ensure the config.json is properly set up with owner IDs before deployment, and use cron jobs to automate patrol.sh for regular monitoring without manual triggers.
Scored Jun 19, 2026
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