DISABLE_TELEMETRY=1 to opt out before using. autohealAdd AI-powered error monitoring and auto-fix generation to any project
Install via ClawdBot CLI:
clawdbot install hankmint/autohealGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://autohealai.com/api/errors/ingestCalls external URL not in known-safe list
https://autohealai.com/api/errors/ingestAI Analysis
The skill sends detailed error data (including stack traces, source URLs, and user agent strings) to an external third-party service (autohealai.com) that is not under the user's control, creating a potential data exfiltration and privacy risk. While the data collection appears consistent with the stated error monitoring purpose, the skill does not disclose how this data is stored, processed, or shared by the external service.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
An online retail site uses AutoHeal AI to automatically capture and analyze JavaScript errors during customer checkout flows. This helps developers quickly identify and fix issues like payment gateway failures or cart malfunctions, reducing cart abandonment rates and improving user experience.
A software-as-a-service provider integrates AutoHeal AI to monitor server-side errors in their Node.js backend. By analyzing uncaught exceptions and unhandled rejections, the team can proactively address performance bottlenecks and ensure high availability for enterprise clients.
A fintech company employs AutoHeal AI to track errors in their web-based trading platform. The AI-generated fix prompts assist developers in resolving security-related bugs swiftly, maintaining regulatory compliance and minimizing downtime during market hours.
A healthcare provider uses AutoHeal AI to monitor errors in their patient portal built with React. This ensures that data submission errors are caught and analyzed, allowing for rapid fixes to protect sensitive health information and maintain service reliability.
A multiplayer gaming platform integrates AutoHeal AI into their browser-based game to capture client-side errors. This enables developers to quickly address issues like rendering failures or connectivity problems, enhancing player retention and game stability.
AutoHeal AI offers tiered subscription plans based on error volume and features like priority analysis or advanced AI insights. This model provides recurring revenue while scaling with customer usage, appealing to businesses of all sizes from startups to enterprises.
The service charges per error analyzed, allowing users to pay only for what they use. This flexible model attracts small teams or projects with sporadic error needs, reducing upfront costs and aligning expenses with actual debugging demands.
AutoHeal AI provides enterprise licenses that include custom integrations, dedicated support, and on-premise deployment options. This model targets large organizations requiring high security and tailored solutions, generating significant revenue through long-term contracts.
💬 Integration Tip
Set the AUTOHEAL_API_KEY environment variable securely and test error ingestion with manual reports before deploying to production to ensure smooth integration.
Scored Apr 19, 2026
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