openclaw-iflow-doctorAI-powered auto-repair system for OpenClaw with iflow integration. Automatically diagnose and fix crashes, config errors, model issues. Falls back to iflow-h...
Install via ClawdBot CLI:
clawdbot install kosei-echo/openclaw-iflow-doctorGrade 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
sudo cpCalls external URL not in known-safe list
https://github.com/kosei-echo/openclaw-iflow-doctorUses known external API (expected, informational)
api.deepseek.comGenerated Mar 21, 2026
Large organizations using OpenClaw for internal AI services can deploy this skill to automatically diagnose and fix crashes, configuration errors, and model issues, minimizing downtime and reducing IT support overhead. It ensures continuous operation by leveraging a case library and historical fixes, with fallback to iflow-helper for complex repairs.
Development teams working on OpenClaw-based applications can use this skill to automatically handle errors during testing and deployment, such as gateway crashes or config issues, speeding up development cycles. The self-healing capability reduces manual debugging and integrates with iflow-helper for advanced troubleshooting.
MSPs offering OpenClaw hosting or support services can implement this skill to provide proactive monitoring and auto-repair for client systems, enhancing service reliability. It automates common fixes and escalates complex issues to iflow-helper, improving response times and client satisfaction.
Universities or research labs using OpenClaw for AI projects can benefit from automatic error handling, especially for memory or network issues, ensuring uninterrupted experiments. The skill's cross-platform support and config checks help maintain stable environments with minimal technical expertise required.
Offer tiered subscription plans where users pay monthly or annually for access to the skill's auto-repair features, premium case libraries, and priority iflow-helper integration. Revenue is generated through recurring fees, with higher tiers including advanced diagnostics and faster response times.
Users purchase credits to use the skill for specific repairs, such as complex fixes requiring iflow-helper assistance or extended monitoring. Revenue comes from credit sales, with pricing based on repair complexity, encouraging adoption through flexible, low-cost entry points.
Sell enterprise licenses that include custom case libraries, integration with proprietary systems, and dedicated support. Revenue is generated through upfront licensing fees and ongoing maintenance contracts, targeting large organizations needing tailored self-healing solutions.
💬 Integration Tip
Ensure iflow-helper is installed for fallback support and configure auto_heal in config.json to enable seamless error handling across platforms.
Scored Jun 17, 2026
AI Analysis
The skill's primary function is local system repair for OpenClaw, and its external calls (GitHub for installation, DeepSeek API) are documented and consistent with its purpose. The flagged signals (UNSAFE_SHELL, SUSPICIOUS_PERMISSIONS) are typical for system repair tools that need to modify files and restart services, not inherently malicious. No evidence of credential harvesting, data exfiltration, or hidden instructions overriding safety.
Audited Apr 17, 2026 · audit v1.0
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