A comprehensive error-handling framework for AI agents that provides automatic retries, intelligent tool fallbacks, and multi-level task degradation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawhub-retry-fallback
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 clawhub-retry-fallback 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 ClawHub Retry & Fallback Skill?
The ClawHub Retry & Fallback skill is a sophisticated reliability layer built to ensure AI agents can survive and recover from execution failures. It addresses the inherent instability of external API dependencies by implementing a closed-loop system of exception awareness, retry logic, and fallback mechanisms. This skill is essential for developers using Openclaw Skills who require production-grade stability for their autonomous workflows.
By wrapping agent actions in a resilient shell, this skill prevents transient errors from breaking long-running tasks. It intelligently distinguishes between temporary network glitches and permanent failures, ensuring that resources are not wasted on futile retries while providing a safety net of secondary tools when primary ones fail.
ClawHub Retry & Fallback Skill Use Cases
- Managing transient API timeouts or rate limits using automated exponential backoff strategies.
- Automatically switching to an alternative search engine or data provider when the primary tool returns an error.
- Implementing graceful degradation to preserve agent progress by switching to lighter tasks during service outages.
- Maintaining detailed compliance and audit trails for automated recovery actions taken by the agent.
How ClawHub Retry & Fallback Skill Works
- The AI agent initiates a tool call or task wrapped by the Retry Handler decorator or module.
- The Exception Classifier monitors the execution and identifies the specific type of error encountered.
- If the error is classified as retryable, the system initiates a retry sequence based on policies defined in the Openclaw Skills configuration.
- If the maximum number of retries is reached without success, the Fallback Manager identifies and activates secondary tools with compatible parameter mapping.
- If no fallbacks are available, the Degradation Handler applies a predefined strategy to return a partial result or a lighter response.
- The entire lifecycle is recorded by the Audit Logger, providing structured data for debugging and monitoring.
ClawHub Retry & Fallback Skill Setup
To integrate this reliability layer into your agent, follow these steps:
# Navigate to your project directory
pip install -r requirements.txt
# Configure your specific retry and fallback rules
nano config/retry_policies.yaml
ClawHub Retry & Fallback Skill Data Schema & Taxonomy
This skill utilizes structured configuration and logging to manage its recovery workflows:
| File/Component | Format | Purpose |
|---|---|---|
| retry_policies.yaml | YAML | Defines backoff strategies, intervals, and maximum attempt limits. |
| exception_classifier.py | Ruleset | Logic for mapping error types to specific recovery paths. |
| Audit Logs | Excel / PDF | Detailed historical records of all failure events and recovery attempts. |
| fallback_manager.py | Registry | A mapping of primary tools to their corresponding backup options. |
ClawHub Retry & Fallback Skill Advanced Features
- Support for custom exponential backoff and fixed interval strategies optimized for Openclaw Skills.
- Intelligent parameter mapping for seamless transitions between different fallback tool schemas.
- Three-tier degradation mechanism (Light, Medium, Heavy) to maintain agent utility during severe outages.
- High-fidelity audit logging with export options for professional reporting and system auditing.
SKILL.md
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