Works with the AI tools you already use
🤖 AI Agent Auditor
Analyzes AI agents for performance, reliability, security, and optimization opportunities.
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See it in action
You say
Run an audit on our customer support agent directory. Include the cost logs and system prompts. We've been seeing high latency and some wrong pricing info in the responses.
Your agent does
Audit Report: Support Agent v2.1
Score: 64/100 (Needs Improvement)
High Severity Issues:
- AGENT-HALL-001: Pricing Hallucinations. RAG context is using outdated cache.
- AGENT-COST-002: GPT-4o used for basic greetings. Action: Implement Semantic Caching and route simple queries to GPT-4o-mini.
What you get
About this skill
Automated AI Agent Quality Assurance
The AI Agent Auditor is a specialized diagnostic skill designed for developers, CTOs, and AI agencies who need to validate the production-readiness of their AI agents. While basic logging tells you when an agent fails, this skill investigates why by dissecting the underlying architecture, tool definitions, and prompt sequences.
What it does
- Architecture Analysis: Scans configurations for tool usage efficiency, dead-tool identification, and multi-agent topology.
- Prompt Chain Auditing: Evaluates instruction coherence, redundancy, and context window optimization.
- Hallucination Assessment: Maps factual error rates and identifying high-risk contexts for model fabrication.
- Cost & Reliability Scoring: Analyzes token consumption and latency metrics to identify cost-saving opportunities through caching or model routing.
Why use this skill?
Prompting an AI is not enough for complex system audits. This skill provides a systematic framework—complete with specialized scoring algorithms and severity levels—to transform raw logs and configs into a professional audit report. It supports major frameworks like LangChain, AutoGen, and CrewAI, giving you a structured roadmap to move from 70% reliability to 99% production-grade stability.
The Output
You receive a comprehensive Audit Report featuring a performance score (0-100), categorized issue logs (Critical to Info), and a concrete remediation roadmap with estimated effort and potential ROI in cost savings.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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