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沁言学术AI选题分析 - 基于大量文献检索结果，为科研人员提供智能选题建议，包括选题方向、研究价值、研究内容概述、研究难点分析和相关文献推荐。使用沁言学术OpenAPI进行文献检索。触发词：选题分析、选题建议、研究选题、topic analysis、research topic、帮我选题、选题推荐
Passed 11 of 19 test cases with the skill, and 6 of 19 without it.
and 5 more in the full report
7 fixed8 passed either way10 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
当通过检索脚本对PubMed和ArXiv数据库进行学术文献调取时，这两个数据库单次检索允许设置的最大返回条数（max_results）上限分别是多少？
| Checked | Without skill | With skill |
|---|---|---|
| The response states that PubMed permits up to 200 results per query. | Missed | Passed |
| The response states that ArXiv permits up to 100 results per query. | Missed | Passed |
The instructions your model reads when the skill loads.
本技能通过沁言学术OpenAPI大量检索相关文献，结合AI分析能力，为科研人员提供系统化的选题建议。分析涵盖选题方向、研究价值、研究内容概述、研究难点分析以及相关文献推荐。
学术诚信声明： 所有选题建议基于真实检索到的文献进行分析，不捏造文献或研究趋势。建议仅供参考，最终选题决策应结合导师意见和个人研究兴趣。
使用前请确保：
QINYAN_API_KEY 环境变量（前往 https://platform.qinyanai.com/ 申请）curl 和 python3export QINYAN_API_KEY="your-api-key-here"
根据用户提供的研究领域/方向，使用 scripts/search.sh 从多个数据库大量检索文献。
检索策略：
# 检索示例
bash scripts/search.sh google '{"query": "large language models education", "max_results": 20, "date_from": "2022"}'
bash scripts/search.sh arxiv '{"query": "large language models education", "max_results": 50, "date_from": "2022"}'
bash scripts/search.sh wanfang '{"query": "大语言模型 教育应用", "max_results": 50, "date_from": "2022"}'
搜索脚本参数格式同文献检索skill：
test cases passed, vs 6 / 19 without
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