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AI-Agent-Testing
A research project to measure AI agent robustness. Contains automated testing pipelines and a benchmarking methodology developed to audit Agentic AI architectures for complex reasoning flaws.
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Python
ai-agentsbenchmarkingdeepevalgenerative-ailangchainllm-as-a-judgellm-evaluationmcppython
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest Michelin-Ensimag/AI-Agent-TestingAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx ai-agent-testing
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"ai-agent-testing": {
"command": "uvx",
"args": [
"ai-agent-testing"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
ai-agent-testing — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt