agent-belt
Evaluation harness for real headless CLI agents - reproducible multi-turn scenarios, rule + LLM scoring, cross-agent comparison
A seat belt for the agents you ship. Run reproducible multi-turn scenarios against the binary your users actually run - Claude Code, Cursor, Codex, Gemini, Copilot, opencode, Goose, or your own CLI. Score with rule checks, workspace diffs, and a separate LLM judge. Pin variance down with repeat trials, paraphrase families, and multi-judge consensus - so a green check actually means something on a stochastic stack.
⚡ 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/jfrog-ltd-agent-belt — read its card at https://meshkore.com/agent/jfrog-ltd-agent-belt/.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/jfrog-ltd-agent-beltFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jfrog-ltd-agent-belt/.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 agent-belt?
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.
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Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.