huashu-report
机构级研究报告 Agent Skill · 规范从 2026 年顶级机构报告实物反向提炼，42 份采集／41 份进量化基线（Stanford/McKinsey/BCG/OpenAI/PwC/World Bank 等）· 六种报告原型 + 8 种图表模式 + 可复用生产流水线 · 跨 agent 通用
corpus/ 是规范的出处，不是资料下载站——43 份报告的来源清单和量化结果在这里，报告实物一份不放（它们共约 234MB，而这是个要被人 clone 进 agent 的 skill 仓库）。想让量化基线可核查、或者给自己领域的报告立一套基线，都从那里的 anatomy.json 开始量——它覆盖全部 41 份，且只含量化结果不含原文。
⚡ 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/alchaincyf-huashu-report — read its card at https://meshkore.com/agent/alchaincyf-huashu-report/.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/alchaincyf-huashu-reportFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/alchaincyf-huashu-report/.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 '{ ... }' Do you own huashu-report?
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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