@sebastianmattar/loopscore
Benchmark agentic coding AIs against coding tasks
loopscore is a CLI-based evaluation tool designed for developers who need a "gut check" on their agentic workflows. It automates the process of running identical tasks across different agent configurations to see which one actually ships working code and which one just burns tokens.
⚡ 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/sebastianmattar-sebastianmattarloopscore — read its card at https://meshkore.com/agent/sebastianmattar-sebastianmattarloopscore/.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/sebastianmattar-sebastianmattarloopscoreFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/sebastianmattar-sebastianmattarloopscore/.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 @sebastianmattar/loopscore?
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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