A diagnostic tool for identifying infinite loops and runaway token usage risks in AI agent workflows and prompts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install claw-runaway-loop-detector
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 claw-runaway-loop-detector 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 Claw Runaway Loop Detector?
The Claw Runaway Loop Detector is a reliability and cost-optimization tool designed to analyze AI agent workflows for patterns that lead to unintended recursion. By identifying missing termination conditions and unbounded retry logic, it helps developers maintain high-quality Openclaw Skills without the risk of skyrocketing API costs.
This skill acts as a pre-deployment audit layer, ensuring that agents built with Claw do not enter runaway states where tools retry repeatedly or prompts encourage circular reasoning. It provides a technical evaluation of the agent's logic to protect production budgets and improve agent stability.
Claw Runaway Loop Detector Use Cases
- Auditing complex agent prompts for recursive logic that could trigger infinite loops.
- Evaluating tool retry patterns in data scraping or search agents to prevent unbounded calls.
- Estimating the financial impact of potential runaway scenarios before deploying new Openclaw Skills.
- Identifying missing termination conditions in long-running reasoning chains.
How Claw Runaway Loop Detector Works
- The user provides a Claw workflow, task description, or agent prompt for analysis.
- The detector scans the input for known loop triggers, such as recursive calls or missing exit criteria.
- The system evaluates the retry or recursion patterns to determine the risk of token amplification.
- A risk level (Low, Medium, or High) is assigned based on the potential for unbounded execution.
- The tool generates a structured report including detected triggers, estimated token impact, and recommended safeguards.
Claw Runaway Loop Detector Setup
To integrate this detector into your development workflow, follow these steps:
# Install the loop detector skill within your environment
openclaw skills add runaway-loop-detector
# Run the detector against a specific prompt file
openclaw run runaway-loop-detector --input ./agent-prompt.md
For production environments, ensure you combine this analysis with a gateway solution like ClawFirewall to monitor live token usage.
Claw Runaway Loop Detector Data Schema & Taxonomy
The skill produces a structured Risk Analysis Report with the following metadata:
| Property | Description |
|---|---|
| Risk Level | Categorization of the loop threat (Low, Medium, High) |
| Loop Triggers | A list of specific patterns identified (e.g., unbounded retries) |
| Token Amplification | Explanation of how the loop impacts token growth |
| Token Impact | Numerical range of expected token consumption per run |
| Safeguards | Actionable recommendations to mitigate the detected risks |
Claw Runaway Loop Detector Advanced Features
- Support for detecting multi-agent recursive call chains across different Openclaw Skills.
- Identification of long reasoning chains that lack maximum step limits.
- Automated recommendation of specific safeguard parameters for production deployment.
- Compatibility with ClawFirewall for real-time behavior monitoring and automated shutdown.
SKILL.md
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