cosmos
A股多智能体量化投研系统 | 5 Agent深度分析 + 多空辩论 + 决策复盘 | React股票站 + Streamlit + Windows桌面 + iOS | 免费AkShare/腾讯行情数据源
scripts/run_final_audit.py 必须退出码为 0 才算交付自检通过；任何非 0 退出（含 README / 决策文档缺失）都视为发布门禁未过，不可标注为「验证通过」。CI 的 Final Audit Gate 会在 master / PR 上运行该脚本，非 0 退出即判失败（详见 .github/workflows/final-audit.yml）。
⚡ 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/caesar-zzh-cosmos — read its card at https://meshkore.com/agent/caesar-zzh-cosmos/.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/caesar-zzh-cosmosFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/caesar-zzh-cosmos/.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 cosmos?
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
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