openseed

name	openseed
description	When the user wants to research academic papers → search ArXiv, extract PDFs, summarize/review/Q&A, generate experiment code.
triggers	{"intent_patterns":["openseed|论文|paper|arxiv|学术|research.*paper|文献|调研.*论文|survey","最新.*研究|latest.*research|state.*of.*art|SOTA","引用.*论文|cite.*paper|参考文献|bibliography|reference","读.*论文|read.*paper|论文.*摘要|abstract|论文.*总结","对比.*论文|compare.*papers|文献.*综述|literature.*review","实验.*复现|reproduce|代码.*实现|implementation","这篇.*论文|this.*paper|帮我找.*paper|search.*paper"],"context_signals":{"keywords":["openseed","paper","arxiv","论文","文献","survey","research","SOTA","引用","摘要","综述","复现","实验"]},"confidence_threshold":0.65}
priority	9
requires_tools	["bash"]
max_tokens	200
cooldown	30
capabilities	["research","paper_search","summarization","analysis"]
activation_mode	explicit
output	{"format":"markdown","artifacts":false}

OpenSeed — AI 论文调研

AI-powered research CLI — 论文检索、摘要、评审、问答、实验代码生成。

典型场景

• 搜索某方向的论文：openseed paper search "diffusion models"
• 深度调研 + 趋势分析：openseed agent search "multi-agent systems"
• 一键流水线（搜→选→分析→入库）：openseed agent pipeline "ViT image classification"
• 论文摘要/评审：openseed agent summarize <id> / openseed agent review <id>
• 自由研究问答：openseed agent ask "What is RLHF?"
• 生成实验代码：openseed agent codegen <id>

命令

# 搜索论文（按引用数排序）
openseed paper search "attention" --count 20

# 添加论文到本地库
openseed paper add https://arxiv.org/abs/1706.03762

# AI 摘要（支持 --cn 中文）
openseed agent summarize <id>

# 研究问答
openseed agent ask "What is RLHF?"

# 一键调研流水线
openseed agent pipeline "ViT image classification"

前置

• Python 3.11+，pip install openseed
• ANTHROPIC_API_KEY 或 claude setup-token
• openseed doctor 检查环境，openseed setup 配置认证