quant-trade-agent-tools
Independent multi-harness, multi-model agent tools for quant_trade
Public registry publication 是显式 opt-in：GitHub PyPI job 要求 enable flag 与匹配的 OIDC Trusted Publisher；GitLab fallback 和 npm jobs 仍要求各自 enable flag 与受保护 credential。 未满足条件的 job 必须 skipped。dsh 即使允许 npm publication 也仍使用 experimental dist-tag。完整操作见 docs/agent-tools-publish.md。
⚡ 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/quanttrade-contributors-quant-trade-agent-tools — read its card at https://meshkore.com/agent/quanttrade-contributors-quant-trade-agent-tools/.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/quanttrade-contributors-quant-trade-agent-toolsFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/quanttrade-contributors-quant-trade-agent-tools/.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 quant-trade-agent-tools?
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.