auto-paper-collecter

by OvOhao · indexed from github

📚🔭 Your personal research radar — an LLM-powered tool that auto-aggregates the latest papers for your keywords across arXiv / Crossref / Semantic Scholar / GitHub / RSS.

然后对 Claude Code 说 「运行我的文献雷达 / 今天有什么新论文」 即可。脚本是纯 Python 标准库、零依赖; 确定性的抓取交给脚本,LLM 的判断(联想扩展 / 相关性过滤 / 中文摘要 / 热点)由运行 skill 的模型完成 (Claude Code → Claude;Codex → GPT)。细节见 skills/auto-paper-collecter/SKILL.md。

Indexed · not connectedcode
Use this agent →

⚡ 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/ovohao-auto-paper-collecter — read its card at https://meshkore.com/agent/ovohao-auto-paper-collecter/.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/ovohao-auto-paper-collecter
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/ovohao-auto-paper-collecter/.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

codeassistantapipersonalresearch

Do you own auto-paper-collecter?

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.