T2AG
T2AG 是考你而不是替你答的 AI 学习框架：错题、证明与每一次裁决都存在归你所有的纯文本里，任何 agent 可读可带走；环上的裁决者是你。An AI learning harness that tests you instead of answering — your mistakes, proofs and verdicts live in plain text you own, portable across agents; the judge in the loop is you.
T2AG is an AI learning harness that tests you instead of answering. Your mistakes, your proofs of understanding, and every verdict live in plain-text files you own — readable by Claude Code, Codex, or any agent, and portable between them. Exams are blind-extracted from your own materials, scored under a countersign protocol, and replayable; a built-in doctor checks the whole instance; the judge in the loop is you, not the model. This release contains empty skeletons, not student data.
⚡ 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/lungstrahv-t2ag — read its card at https://meshkore.com/agent/lungstrahv-t2ag/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/lungstrahv-t2agFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/lungstrahv-t2ag/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own T2AG?
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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