botlearn-healthcheckbotlearn-healthcheck — BotLearn autonomous health inspector for OpenClaw instances across 5 domains (hardware, config, security, skills, autonomy); triggers...
Install via ClawdBot CLI:
clawdbot install calvinxhk/botlearn-healthcheckGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
curl -fsSL https://clawhub.io/install | bashAccesses system directories or attempts privilege escalation
/proc/Calls external URL not in known-safe list
http://localhost:18789/tools`AI Analysis
The skill's primary function is local system health inspection and diagnostics, which inherently requires accessing system directories and logs. The flagged signals (UNSAFE_SHELL, SUSPICIOUS_PERMISSIONS, UNDOCUMENTED_EXTERNAL) are consistent with legitimate diagnostic activities (e.g., checking /proc, calling localhost endpoints, or referencing a known installation script). No evidence suggests data exfiltration, credential harvesting, or hidden malicious instructions.
Generated Mar 20, 2026
A small business uses this skill to autonomously monitor their OpenClaw deployment, ensuring hardware resources like memory and disk are adequate and configuration settings are correct. It helps prevent downtime by detecting issues early, such as low disk space or misconfigured agents, allowing proactive maintenance without manual intervention.
Software development teams integrate this skill into their CI/CD pipelines to automatically diagnose OpenClaw instances after updates or deployments. It checks security risks, skill completeness, and autonomous intelligence to ensure the AI agent remains functional and secure, reducing debugging time and improving reliability in production environments.
Universities or training centers use this skill to maintain OpenClaw instances in AI labs, where students experiment with autonomous agents. It performs full health checks across all domains, including hardware and configuration, to ensure systems are operational for learning activities, minimizing disruptions and supporting hands-on education in AI technologies.
Managed service providers offer this skill as part of their AI infrastructure monitoring services, using it to autonomously inspect client OpenClaw setups for issues like security vulnerabilities or skill dependencies. It enables remote troubleshooting and reporting, helping providers maintain high uptime and compliance without on-site visits.
Offer this skill as a SaaS product where customers pay a monthly fee for continuous health monitoring of their OpenClaw instances. Revenue is generated through tiered subscriptions based on features like frequency of checks, depth of analysis, and priority support, targeting businesses that rely on AI agents for critical operations.
Provide consulting services to help organizations integrate this skill into their existing OpenClaw deployments, with revenue from one-time setup fees and ongoing support contracts. This model includes customizing checks for specific domains like security or skills, and training teams to interpret reports, ideal for enterprises with complex AI infrastructures.
Release this skill as a free open-source tool with basic health checks, then monetize through premium add-ons such as advanced analytics, automated fixes, or integration with third-party monitoring platforms. Revenue comes from upsells to users who need deeper insights or enterprise-grade features, leveraging community adoption to drive conversions.
💬 Integration Tip
Ensure the OpenClaw environment has the required binaries like curl and node installed, and set the OPENCLAW_HOME variable correctly to allow autonomous data collection without manual commands.
Scored Apr 19, 2026
Audited Apr 16, 2026 · audit v1.0
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