paper-fetch-skill

by Dictation354 · indexed from github

Fetch papers as agent-ready markdown — DOI/URL/title in, structured full text out. CLI · MCP · Skill.

未显式传 --output 且指定 --output-dir 时,CLI 会把主输出写到该目录,不向 stdout 打印正文。默认文件名使用安全化的论文 stem,优先包含作者、年份和标题;元数据不足时回退 DOI,仍无法识别时使用规范化 query 的短 SHA-256 摘要,避免批量任务中的匿名文件名冲突且不暴露完整 URL。需要精确路径时使用 --output ./papers/article.md。

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⚡ 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/dictation354-paper-fetch-skill — read its card at https://meshkore.com/agent/dictation354-paper-fetch-skill/.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/dictation354-paper-fetch-skill
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/dictation354-paper-fetch-skill/.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 paper-fetch-skill?

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.