A powerful auto-repair and health monitoring system designed to keep Openclaw Skills running smoothly by detecting and fixing failures in real-time.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install self-healing-agent
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install self-healing-agent 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-Healing Agent?
The Self-Healing Agent is a comprehensive watchdog system inspired by the Hermes agent's self-recovery capabilities. It serves as a critical resilience layer for Openclaw Skills, monitoring vital components like cron jobs, memory usage, and configuration files to ensure continuous, uninterrupted operation.
By automating the diagnosis and repair of common issues such as crashed scripts, session timeouts, or corrupted JSON files, this skill significantly reduces the need for manual developer intervention. It acts as a dedicated maintenance worker that keeps your agent ecosystem healthy and high-performing.
Self-Healing Agent Use Cases
- Automatically recovering from repeated agent failures or crashed cron jobs.
- Providing continuous health monitoring for high-uptime AI agents.
- Fixing configuration syntax errors and cleaning up memory bloat or zombie sessions.
- Generating diagnostic reports to identify systemic failure patterns and improving agent reliability.
How Self-Healing Agent Works
- The agent performs a comprehensive scan of subsystems including cron schedules, memory files, and active sessions to detect anomalies.
- It analyzes detected failures to identify root causes, such as API rate limits, file growth rates, or missing dependencies.
- The system applies the safest possible fix, such as restarting a job with a backoff, rotating logs, or restoring corrupted files from history.
- Every action is logged for auditability, and unfixable issues are escalated to the main agent session for developer attention.
Self-Healing Agent Setup
To get started with the self-healing features in Openclaw Skills, use the following commands:
# Run a full health diagnostic check
python3 scripts/self-healing-agent.py check
# Automatically repair detected issues
python3 scripts/self-healing-agent.py heal
# Start the continuous watchdog monitor
python3 scripts/self-healing-agent.py monitor --interval 300
Self-Healing Agent Data Schema & Taxonomy
The skill organizes its recovery logs and diagnostic data within the memory/ directory to ensure transparency.
| File | Format | Description |
|---|---|---|
| self-healing-log.json | JSON | Contains timestamps, issue descriptions, diagnostic findings, and MTTR stats. |
| health-report.md | Markdown | Generated summary of failure modes and prevention recommendations. |
| backup/ | Directory | Stores temporary backups of session files before clearing or compacting. |
Self-Healing Agent Advanced Features
- Continuous monitor mode with configurable heartbeat intervals for real-time fault tolerance.
- Subsystem targeting to isolate health checks for specific areas like memory, cron, or configuration.
- Dry-run mode to preview proposed healing actions without modifying the system environment.
- Aggressive healing flags for automated recovery of high-risk or complex failure states.
- Detailed MTTR (Mean Time To Recovery) tracking to measure the efficiency of automated repairs.
SKILL.md
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