AI-Marker-Suite
by five-plus-one · indexed from github
AI 批改助手 — 多模态 AI 在线阅卷自动批改油猴脚本，支持智学网、七天网络、好分数、C30、AMEQP 等 22 个阅卷平台。自动识别手写答案、智能评分、自动填分提交，支持普通/试改/无人值守/双评仲裁四种模式、分小题评分、分数纠错、评阅历史导出。晚上挂机睡觉，早上起来全改完。
Indexed · not connectedpersonal
⚡ 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/five-plus-one-ai-marker-suite — read its card at https://meshkore.com/agent/five-plus-one-ai-marker-suite/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/five-plus-one-ai-marker-suiteFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/five-plus-one-ai-marker-suite/.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
education
Do you own AI-Marker-Suite?
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.