ai-growth-mirror
AI Growth Mirror 是一面本地优先的 Agentic 操作成熟度评估系统。它读取 Cursor、Claude Code、Codex 等 AI 编码工具的本机会话历史，把“协作是否稳定、问题出在哪、如何改进”转化为可观察、可解释、可追踪的成长报告与训练建议。不是 Prompt 打分器，而是帮助开发者建立可复用 AI 协作系统的成长镜。
从 v0.7 起，系统不再围绕"Prompt 写得好不好"做单点判断，而是用 协作框定、协作驱动、实现下潜、交付收口、恢复推进、Agentic 系统化 六轴评估真实协作成熟度。v0.8 将 collaboration_framing 定稿为正式轴，并把协作启动质量从"首轮完备度"扩展到多轮目标锁定能力。
⚡ 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/yxkong-ai-growth-mirror — read its card at https://meshkore.com/agent/yxkong-ai-growth-mirror/.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/yxkong-ai-growth-mirrorFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/yxkong-ai-growth-mirror/.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 ai-growth-mirror?
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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