Self Improver Lite for Openclaw

A specialized skill for running lightweight self-audits and safe configuration improvements to ensure AI agent reliability.

utromaya-code
v1.0.1
Mar 23, 2026
0
785
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install agent-self-improver

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install agent-self-improver using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Self Improver Lite?

Self Improver Lite is a robust utility designed to maintain the health of AI agents by conducting non-destructive self-audits. It identifies repetitive failure patterns—such as rate limits or stuck polling—and applies reversible, low-risk fixes to stabilize performance. By integrating this into your workflow, you ensure that Openclaw Skills remain operational without the risks associated with fully autonomous system changes.

This skill bridges the gap between manual troubleshooting and risky automation by focusing on evidence-based improvements. It monitors system services, analyzes logs, and tracks the impact of every adjustment made, providing a clear audit trail for developers and system administrators.

Self Improver Lite Use Cases

  • Resolving silent or unstable bot periods where the agent stops responding.
  • Troubleshooting recurring errors like rate_limit, orphaned sessions, or sendMessage failures.
  • Validating system stability immediately after major configuration updates.
  • Performing scheduled weekly maintenance to ensure long-term uptime and efficiency.

How Self Improver Lite Works

  1. Evidence Collection: The skill checks the status of core services like openclaw-gateway and retrieves recent system logs for analysis.
  2. Pattern Recognition: It groups failures by error types and counts occurrences to pinpoint the most frequent issues.
  3. Root Cause Identification: The top 1-3 technical bottlenecks are identified based on the log evidence.
  4. Risk Assessment: Proposed fixes are categorized into auto-allowed low-risk changes or those requiring explicit user approval.
  5. Execution & Recording: Safe fixes are applied automatically, and a detailed summary of changes and next actions is generated for review.

Self Improver Lite Setup

To deploy Self Improver Lite within your environment, ensure your gateway services are active and accessible via CLI. You can manually trigger an audit cycle using standard system commands:

# Verify service health before starting
systemctl is-active openclaw-gateway ollama

# Review recent logs to feed the improver
journalctl -u openclaw-gateway -n 120 --no-pager

Ensure that the agent has sufficient permissions to read service status and write to session or configuration backup directories.

Self Improver Lite Data Schema & Taxonomy

The skill maintains a structured approach to auditing and reporting, primarily through a weekly review format that tracks performance metrics. Data is organized as follows:

Data Point Description
Error Logs Pattern-matched failure counts (e.g., timeouts, orphaned messages).
Applied Changes A log of low-risk config edits or service restarts performed.
Impact Metrics Comparative data showing latency and failure rates before and after fixes.
Audit Reports Markdown-formatted summaries following the Weekly Review Template.

Self Improver Lite Advanced Features

  • Automated Session Cleanup: Clears stuck 'orphaned user message' loops to prevent memory bloat and logic errors.
  • Dynamic Context Tuning: Automatically adjusts context windows and maxTokens within safe, predefined ranges.
  • Fallback Chain Reordering: Optimizes model fallback sequences to improve response success rates without altering API keys.
  • Safety Guardrails: Includes mandatory configuration backups before any edit and strict filtering to ensure secrets are never exposed in reports.

SKILL.md


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