A resilience skill for OpenClaw that prevents total LLM failure by enforcing provider diversity and deploying a standalone health monitor.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install neverdie
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 neverdie 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 NeverDie?
NeverDie is a specialized resilience layer for AI agents, designed to eliminate the risk of cascading model failures. It ensures that your Openclaw Skills stay operational even during major provider outages by mandating a diversified fallback chain that includes multiple cloud providers and a local Ollama instance. Unlike standard tools, NeverDie operates as a standalone monitor that does not require an active LLM to function, providing a true safety net for your automation infrastructure.
By prioritizing provider diversity, NeverDie prevents situations where a single API outage (like an Anthropic or OpenAI downtime) brings your entire system to a halt. It serves as an essential utility for developers who need high availability and reliable failure detection for their Openclaw Skills deployment.
NeverDie Use Cases
- Preventing total agent downtime during cloud provider outages.
- Ensuring high availability for production Openclaw Skills.
- Monitoring LLM health without relying on an active LLM connection.
- Automatically falling back to local models when rate limits are hit.
- Receiving instant Telegram alerts when model chains are compromised.
How NeverDie Works
- The skill diagnoses the current OpenClaw configuration to identify single-provider dependencies and missing local fallbacks.
- It guides the user to restructure the fallback chain using a mix of cloud providers (e.g., Anthropic, OpenAI) and local Ollama models.
- A standalone Node.js monitor script is deployed to the local workspace, operating independently of the LLM logic.
- A system-level cron job is registered to execute the monitor at regular intervals (default every 5 minutes).
- The monitor scans system logs for specific failure patterns like rate limits, authentication errors, or timeouts.
- If a critical failure is detected, the monitor writes a local alert file and sends a notification via Telegram if configured.
NeverDie Setup
To deploy NeverDie for your Openclaw Skills, follow these steps:
# 1. Copy the monitor script to your workspace
cp ~/.openclaw/workspace/skills/neverdie/scripts/fallback-monitor.js ~/.openclaw/workspace/fallback-monitor.js
chmod +x ~/.openclaw/workspace/fallback-monitor.js
# 2. (Optional) Configure Telegram Alerts
# Create ~/.openclaw/workspace/.neverdie-config.json with your credentials:
# {"telegramBotToken": "...", "telegramChatId": "..."}
# 3. Verify the installation and monitor status
node ~/.openclaw/workspace/fallback-monitor.js --status
NeverDie Data Schema & Taxonomy
NeverDie maintains minimal, secure data structures to manage resilience for Openclaw Skills:
| File Name | Description | Key Metadata |
|---|---|---|
.neverdie-config.json |
Configuration file | Telegram tokens, chat IDs, and alert cooldowns. |
.fallback-alert-latest.json |
Health status file | Timestamp of last failure and error categorization. |
fallback-monitor.js |
Execution logic | Standalone Node.js script using built-in modules. |
openclaw.json |
Source config | Monitored for primary and fallback model provider IDs. |
NeverDie Advanced Features
- Provider Diversity Enforcement: Automatically flags chains that rely on a single point of failure.
- Standalone Monitoring: Runs as a systemEvent cron job, meaning it works even when no LLMs are available.
- Zero-Dependency Security: Built using only Node.js core modules (fs, path, https) to minimize the attack surface.
- Local Safety Net: Specifically prioritizes Ollama integration as the final, un-rate-limited fallback layer.
- Idempotent Registration: Setup scripts are designed to be run multiple times without duplicating system tasks.
SKILL.md
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