self-evalutaed-agentAutomatically detects errors, researches solutions, executes improvements, and measures impact while remembering effective procedures for continuous self-imp...
Install via ClawdBot CLI:
clawdbot install mopga/self-evalutaed-agentGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://github.com/mopga/self-improving-agent.gitAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Automatically detects and resolves recurring errors in cron jobs and system logs within a cloud infrastructure. It selects high-impact issues like timeout failures, researches fixes, and deploys improvements through a backlog system, reducing manual intervention and downtime.
Monitors circuit breakers and error logs for an online store to identify patterns like payment gateway failures or inventory sync issues. It prioritizes topics based on customer impact, generates research for solutions, and implements fixes to enhance reliability and user experience.
Improves data processing pipelines by detecting errors in batch jobs handling patient records or lab results. It measures before/after metrics to validate fixes, stores successful procedures in memory, and ensures compliance with data integrity standards through automated self-improvement cycles.
Identifies and addresses errors in automated trading algorithms or risk management systems by analyzing logs and performance metrics. It researches solutions for high-priority issues like latency or calculation errors, executes improvements via a backlog, and records impact to optimize trading operations.
Manages errors across a network of IoT devices by monitoring logs and cron jobs for issues like connectivity drops or sensor malfunctions. It selects topics based on failure rates, implements fixes through procedural memory, and measures effectiveness to improve device uptime and data accuracy.
Offers the self-improving agent as a cloud-based service with tiered pricing based on usage volume, such as number of errors monitored or improvements deployed. Revenue is generated through monthly or annual subscriptions, targeting enterprises needing automated error resolution.
Sells perpetual licenses for on-premises deployment, with additional revenue from support and maintenance contracts. This model appeals to large organizations in regulated industries like finance or healthcare that require full control over their error management systems.
Provides custom implementation services to integrate the agent into existing workflows, along with training and optimization support. Revenue comes from project-based fees and retainer agreements, targeting companies with complex systems needing tailored self-improvement solutions.
💬 Integration Tip
Ensure the workspace at /root/.openclaw/workspace has write permissions and integrate cron jobs as shown in the usage examples to automate the self-improvement cycle effectively.
Scored Apr 19, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
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