gauntlet
AI-powered QA testing framework that uses LLMs (Claude or GPT) to test web apps, CLI tools, and TUI programs from markdown story cards, returning structured pass/fail verdicts with evidence.
Gauntlet is an AI-powered QA testing framework. It uses large language models (Claude or GPT) to test software the way a human tester would: working through web apps in a real browser, CLI tools at a stdin/stdout prompt, and terminal/TUI programs in a live tmux session — clicking, typing, reading screens, and reporting bugs. You write story cards -- markdown files with a title, description, and acceptance criteria -- and Gauntlet's AI agent works through them via one of three adapters (web, cli, tui), delivering a verdict (pass/fail/investigate) with evidence.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/prime-radiant-inc-gauntlet — read its card at https://meshkore.com/agent/prime-radiant-inc-gauntlet/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/prime-radiant-inc-gauntletFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/prime-radiant-inc-gauntlet/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own gauntlet?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.