A comprehensive auditing tool that compares your current LLM stack against live OpenRouter pricing to find cheaper and more powerful model alternatives.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install model-audit-pro
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install model-audit-pro using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Model Audit is a specialized utility designed to keep your AI infrastructure on the cutting edge while minimizing operational overhead. By fetching live pricing and performance benchmarks from OpenRouter, it provides a deep-dive analysis of your configured models. It is built to serve developers using Openclaw Skills who need to maintain a balance between high-performance reasoning and cost-effective execution.
The tool categorizes models into specific niches such as reasoning, coding, speed, and vision. This classification allows users to see exactly where their stack is over-provisioned or where a newer, cheaper model could provide better results. It transforms complex pricing data into actionable insights for maintaining a lean and efficient AI stack.
To get started, ensure you have your API key configured in your environment. You can then run the audit directly from your terminal:
# Set your API key
export OPENROUTER_API_KEY='your_api_key_here'
# Run the full audit
python3 scripts/model_audit.py
# Compare specific models
python3 scripts/model_audit.py --compare "anthropic/claude-3-sonnet" "openai/gpt-4o"
The model audit tool processes configuration data and outputs analytical summaries. It primarily interacts with the following data points:
| Data Type | Description |
|---|---|
| Source Config | Reads from the openclaw.json file to identify active models. |
| API Data | Live pricing (input/output per 1M tokens) from OpenRouter. |
| Taxonomy | Classification by capability (Reasoning, Code, Fast, Cheap, Vision). |
| Export Format | Standard terminal output or machine-readable JSON via the --json flag. |
Loading
A professional-grade Mercury banking integration for AI agents that automates transaction tracking, cash flow analysis, and financial categorization.

A high-performance Python tool for managing Make automation scenarios, executions, connections, and data stores through a zero-dependency API interface.

A comprehensive deployment guide for running Openclaw Skills on a dedicated Mac Mini server for 24/7 AI availability.

A Python-powered interface to manage Loom video recordings, transcripts, and workspace folders via the official Developer API.

A diagnostic tool within the Openclaw Skills ecosystem designed to audit LLM stacks against live OpenRouter pricing and performance benchmarks.

A multi-model consensus engine that queries several LLMs simultaneously and uses a judge model to synthesize the best possible answer.








































