{"id":"51493c3c-9b15-4ab6-bfa0-75767e63c81e","entityType":"agent","slug":"clawhub-wangjinhongmy-pixel-paper-finder","name":"学术文献检索（期刊信息、影响因子、下载链接）","canonicalUrl":"https://www.xpersona.co/agent/clawhub-wangjinhongmy-pixel-paper-finder","canonicalPath":"/agent/clawhub-wangjinhongmy-pixel-paper-finder","generatedAt":"2026-10-13T16:31:35.888Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-11T21:54:52.454Z","emptyReason":null},"description":"根据主题、篇名、关键词等检索学术文献，返回真实的期刊信息、影响因子和下载链接，找不到就是找不到，绝不编造 Skill: 学术文献检索（期刊信息、影响因子、下载链接） Owner: wangjinhongmy-pixel Summary: 根据主题、篇名、关键词等检索学术文献，返回真实的期刊信息、影响因子和下载链接，找不到就是找不到，绝不编造 Tags: latest:1.0.0 Version history: v1.0.0 | 2026-04-28T02:05:49.686Z | user - 首发版本，提供可靠的学术文献检索助手 - 严格遵守“找不到就是找不到，绝不编造”原则，所有结果真实可查 - 支持按主题、篇名、关键词、作者等多条件检索文献 - 返回文献的详细信息、影响因子、被引数据及可验证的下载/访问链接 - 覆盖多种主流数据库（如PubMed、arXiv、Google Scholar、知网等） - 详细说明支持的检索用法、数据库、输出格式和使用建议 Archive index: Archive v1.0.0: 3 fil","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 988 downloads reported by the source. 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找文献\n  - 检索论文\n  - 搜索文献\n  - 查论文\n  - 找期刊\n  - 文献检索\n  - 论文下载\n  - 查影响因子\n  - 推荐文献\n  - 相关论文\n---\n\n# 文献检索助手 (Paper Finder)\n\n## ⚠️ 重要原则\n\n**找不到就是找不到，绝不编造！**\n\n- ✅ 只返回真实存在的文献\n- ✅ 明确标注\"未找到\"当检索无果\n- ✅ 提供可验证的链接和信息来源\n- ❌ 绝不生成虚假的文献信息\n- ❌ 绝不编造不存在的下载链接\n\n## 功能\n\n根据你提供的主题、篇名、关键词、作者等信息，在主流学术数据库中检索文献，返回：\n- 文献基本信息（标题、作者、期刊）\n- 文献简介（摘要或核心内容）\n- 期刊影响因子（如有）\n- 官方下载/访问链接\n\n## 使用方法\n\n### 基础检索\n\n```\n找关于[主题]的文献\n搜索[关键词]相关的论文\n查找[作者]发表的论文\n找篇名包含[标题关键词]的文章\n```\n\n### 高级检索（组合条件）\n\n```\n找深度学习在医学影像中的应用，近5年，影响因子>5\n搜索Transformer架构的综述文章，发表在Nature或Science\n查找张三关于癌症免疫治疗的文献\n找篇名包含\"attention mechanism\"的论文，2020年后发表\n```\n\n### 指定数据库\n\n```\n在PubMed上找关于COVID-19疫苗的文献\n在arXiv上搜索大语言模型相关论文\n在知网查找人工智能教育应用的中文文献\n```\n\n## 支持的数据源\n\n| 数据库 | 适用领域 | 特点 |\n|--------|---------|------|\n| **PubMed** | 生物医学 | 权威医学文献，含影响因子 |\n| **Google Scholar** | 全学科 | 覆盖面广，引用数据 |\n| **arXiv** | 物理、数学、CS | 预印本，免费下载 |\n| **Semantic Scholar** | 全学科 | AI驱动，相关推荐 |\n| **Crossref** | 全学科 | DOI解析，元数据 |\n| **知网(CNKI)** | 中文学术 | 中文核心期刊 |\n| **万方** | 中文学术 | 中文学位论文 |\n| **Web of Science** | 全学科 | 高影响力期刊 |\n\n## 检索流程\n\n当我收到你的检索请求时：\n\n1. **解析需求** - 提取主题、关键词、限制条件（时间、期刊、影响因子等）\n2. **选择数据库** - 根据学科领域选择合适的数据源\n3. **执行检索** - 使用浏览器访问数据库官网进行真实检索\n4. **验证结果** - 确认文献真实存在，信息准确\n5. **格式化输出** - 按标准格式返回结果\n\n## 输出格式\n\n### 找到文献时\n\n```\n📄 检索结果 [1/5]\n\n标题：Attention Is All You Need\n作者：Ashish Vaswani, Noam Shazeer, Niki Parmar, et al.\n期刊：Advances in Neural Information Processing Systems (NeurIPS 2017)\n影响因子：会议论文无IF，但NeurIPS为CCF-A类顶会\n被引次数：80,000+（Google Scholar，截至2024）\n\n📋 简介：\n提出了Transformer架构，完全基于注意力机制，摒弃了RNN和CNN。\n这是大语言模型（如GPT、BERT）的基础论文。\n\n🔗 链接：\n- arXiv: https://arxiv.org/abs/1706.03762\n- PDF下载: https://arxiv.org/pdf/1706.03762.pdf\n- Semantic Scholar: https://www.semanticscholar.org/paper/...\n\n---\n```\n\n### 未找到时\n\n```\n❌ 未找到符合条件的文献\n\n检索条件：主题=\"量子计算在药物发现中的应用\"，时间=2020-2024，影响因子>10\n检索数据库：PubMed, Web of Science\n\n可能原因：\n1. 检索条件过于严格（建议放宽影响因子限制）\n2. 该交叉领域文献较少\n3. 关键词需要调整\n\n建议：\n- 尝试更宽泛的关键词如\"quantum computing\" + \"drug discovery\"\n- 移除影响因子限制，或降低至>5\n- 扩大时间范围\n```\n\n## 示例对话\n\n### 示例1：主题检索\n\n**用户：** 找关于深度学习在医学影像诊断中的文献，近3年，影响因子>5\n\n**我：**\n> 正在为您检索...\n> \n> 📄 检索结果 [1/5]\n> \n> **标题：** Deep Learning for Medical Image Analysis: A Comprehensive Review\n> **作者：** Jane Smith, John Doe, et al.\n> **期刊：** Nature Reviews Bioengineering (2023)\n> **影响因子：** 42.8\n> \n> 📋 简介：\n> 全面综述了深度学习在医学影像分析中的应用，涵盖X光、CT、MRI等多种模态，\n> 讨论了当前挑战和未来方向。\n> \n> 🔗 链接：\n> - 官方页面: https://www.nature.com/articles/...\n> - PubMed: https://pubmed.ncbi.nlm.nih.gov/...\n> \n> ---\n> \n> 📄 检索结果 [2/5]\n> \n> **标题：** A Survey on Deep Learning in Medical Image Analysis\n> **作者：** Geert Litjens, Thijs Kooi, et al.\n> **期刊：** Medical Image Analysis (2022)\n> **影响因子：** 13.8\n> \n> ...\n\n### 示例2：精确查找\n\n**用户：** 找篇名是\"Attention Is All You Need\"的论文\n\n**我：**\n> ✅ 找到精确匹配的文献\n> \n> 📄 Attention Is All You Need\n> \n> **作者：** Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, Illia Polosukhin\n> **发表：** Advances in Neural Information Processing Systems 30 (NeurIPS 2017)\n> **页码：** 5998-6008\n> \n> 📋 简介：\n> 提出了Transformer模型，完全基于自注意力机制，实现了机器翻译任务的新SOTA，\n> 训练速度大幅提升。这是现代大语言模型（GPT、BERT、T5等）的奠基性工作。\n> \n> 📊 影响力：\n> - Google Scholar被引：80,000+\n> - 发表会议：NeurIPS 2017（CCF-A类）\n> \n> 🔗 获取链接：\n> - arXiv: https://arxiv.org/abs/1706.03762\n> - PDF: https://arxiv.org/pdf/1706.03762.pdf\n> - 官方代码: https://github.com/tensorflow/tensor2tensor\n\n### 示例3：找不到的情况\n\n**用户：** 找作者\"李明\"在Nature上发表的关于区块链的论文\n\n**我：**\n> ❌ 未找到符合条件的文献\n> \n> **检索条件：**\n> - 作者：李明\n> - 期刊：Nature\n> - 主题：区块链 (blockchain)\n> \n> **检索数据库：** PubMed, Web of Science, Google Scholar\n> \n> **结果：** 在Nature数据库中未找到作者\"李明\"发表的区块链相关论文。\n> \n> **可能原因：**\n> 1. 该作者可能未在Nature发表过区块链论文\n> 2. 作者姓名可能有多种拼写方式（Li Ming, M. Li等）\n> 3. 论文可能发表在Nature子刊（如Nature Communications）而非主刊\n> \n> **建议：**\n> - 提供作者的全名拼音或英文拼写\n> - 扩大期刊范围至Nature子刊\n> - 尝试用关键词\"blockchain\" + \"Li\"进行更宽泛的检索\n\n## 检索技巧\n\n### 提高检索成功率\n\n| 技巧 | 示例 |\n|------|------|\n| 使用英文关键词 | \"deep learning\" 比 \"深度学习\" 结果更多 |\n| 尝试同义词 | \"cancer\" + \"tumor\" + \"neoplasm\" |\n| 使用作者ID | ORCID、ResearchGate链接 |\n| 提供DOI | 直接定位唯一文献 |\n| 放宽限制 | 先大范围检索，再筛选 |\n\n### 影响因子查询\n\n影响因子数据来源：\n- Journal Citation Reports (JCR)\n- Scopus CiteScore\n- 中科院期刊分区\n\n**注意：** \n- 预印本（arXiv、bioRxiv）无影响因子\n- 会议论文无影响因子，但可参考CCF分区\n\n## 局限性说明\n\n1. **访问权限**\n   - 我只能提供公开可访问的链接\n   - 付费论文可能只能提供摘要和购买链接\n   - 机构订阅内容需要你自己通过学校/单位访问\n\n2. **检索深度**\n   - 复杂的多条件检索可能需要分步进行\n   - 某些专业数据库可能需要特殊访问权限\n\n3. **实时性**\n   - 最新发表的论文（<1个月）可能尚未被索引\n   - 影响因子数据每年更新一次（通常6月发布）\n\n## 相关工具\n\n检索完成后，你可以：\n- 使用 **paper-buddy** skill 让我陪你读文献\n- 使用 **summarize** skill 生成文献摘要\n- 使用 **sag** skill 将文献内容转为语音\n\n---\n\n*真实、准确、可验证 —— 你的可靠文献检索助手 🔍*\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn77nj4b7e94d9w798r1c4b34h85qk5m\",\n  \"slug\": \"paper-finder\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1777341949686\n}\n\nFile v1.0.0:skill-card.md\n\n## Description:\n\n根据主题、篇名、关键词等检索学术文献，返回真实的期刊信息、影响因子和下载链接，找不到就是找不到，绝不编造\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[wangjinhongmy-pixel](https://clawhub.ai/user/wangjinhongmy-pixel)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal ClawHub users use this skill to ask an agent to search academic literature by topic, title, keyword, author, database, publication date, or impact-factor constraints. The skill is intended to return verifiable paper metadata, summaries, citation or journal metrics when available, and official access or download links.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Research queries may be sent to external academic websites during browser-based searching.\n\nMitigation: Avoid confidential, unpublished, personally sensitive, or proprietary research terms unless the user intends them to be searched online.\n\nRisk: Search results, impact factors, and citation counts can be incomplete, outdated, or unavailable across academic databases.\n\nMitigation: Use the returned source links to verify paper metadata and metrics before relying on them for academic, publication, or purchasing decisions.\n\nRisk: The skill may provide access links for paywalled papers, but it cannot grant subscription access.\n\nMitigation: Use institutional access, publisher pages, or legitimate open-access copies when full text is not publicly available.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/wangjinhongmy-pixel/skills/paper-finder)\n- [ClawHub publisher profile](https://clawhub.ai/user/wangjinhongmy-pixel)\n- [arXiv example record](https://arxiv.org/abs/1706.03762)\n- [PubMed](https://pubmed.ncbi.nlm.nih.gov/)\n- [Semantic Scholar](https://www.semanticscholar.org/)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Guidance]\n\n**Output Format:** [Markdown search results with bibliographic metadata, short summaries, metrics when available, and verified access links]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May include not-found explanations and suggestions to broaden or refine search criteria.]\n\n## Skill Version(s):\n\n1.0.0 (source: release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.","readmeExcerpt":"Skill: 学术文献检索（期刊信息、影响因子、下载链接） Owner: wangjinhongmy-pixel Summary: 根据主题、篇名、关键词等检索学术文献，返回真实的期刊信息、影响因子和下载链接，找不到就是找不到，绝不编造 Tags: latest:1.0.0 Version history: v1.0.0 | 2026-04-28T02:05:49.686Z | user - 首发版本，提供可靠的学术文献检索助手 - 严格遵守“找不到就是找不到，绝不编造”原则，所有结果真实可查 - 支持按主题、篇名、关键词、作者等多条件检索文献 - 返回文献的详细信息、影响因子、被引数据及可验证的下载/访问链接 - 覆盖多种主流数据库（如PubMed、arXiv、Google Scholar、知网等） - 详细说明支持的检索用法、数据库、输出格式和使用建议 Archive index: Archive v1.0.0: 3 fil","codeSnippets":[],"executableExamples":[{"language":"text","snippet":"找关于[主题]的文献\n搜索[关键词]相关的论文\n查找[作者]发表的论文\n找篇名包含[标题关键词]的文章"},{"language":"text","snippet":"找深度学习在医学影像中的应用，近5年，影响因子>5\n搜索Transformer架构的综述文章，发表在Nature或Science\n查找张三关于癌症免疫治疗的文献\n找篇名包含\"attention mechanism\"的论文，2020年后发表"},{"language":"text","snippet":"在PubMed上找关于COVID-19疫苗的文献\n在arXiv上搜索大语言模型相关论文\n在知网查找人工智能教育应用的中文文献"},{"language":"text","snippet":"📄 检索结果 [1/5]\n\n标题：Attention Is All You Need\n作者：Ashish Vaswani, Noam Shazeer, Niki Parmar, et al.\n期刊：Advances in Neural Information Processing Systems (NeurIPS 2017)\n影响因子：会议论文无IF，但NeurIPS为CCF-A类顶会\n被引次数：80,000+（Google Scholar，截至2024）\n\n📋 简介：\n提出了Transformer架构，完全基于注意力机制，摒弃了RNN和CNN。\n这是大语言模型（如GPT、BERT）的基础论文。\n\n🔗 链接：\n- arXiv: https://arxiv.org/abs/1706.03762\n- PDF下载: https://arxiv.org/pdf/1706.03762.pdf\n- Semantic Scholar: https://www.semanticscholar.org/paper/...\n\n---"},{"language":"text","snippet":"❌ 未找到符合条件的文献\n\n检索条件：主题=\"量子计算在药物发现中的应用\"，时间=2020-2024，影响因子>10\n检索数据库：PubMed, Web of Science\n\n可能原因：\n1. 检索条件过于严格（建议放宽影响因子限制）\n2. 该交叉领域文献较少\n3. 关键词需要调整\n\n建议：\n- 尝试更宽泛的关键词如\"quantum computing\" + \"drug discovery\"\n- 移除影响因子限制，或降低至>5\n- 扩大时间范围"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: paper-finder\ndescription: 根据主题、篇名、关键词等检索学术文献，返回真实的期刊信息、影响因子和下载链接，找不到就是找不到，绝不编造\ntriggers:\n  - 找文献\n  - 检索论文\n  - 搜索文献\n  - 查论文\n  - 找期刊\n  - 文献检索\n  - 论文下载\n  - 查影响因子\n  - 推荐文献\n  - 相关论文\n---\n\n# 文献检索助手 (Paper Finder)\n\n## ⚠️ 重要原则\n\n**找不到就是找不到，绝不编造！**\n\n- ✅ 只返回真实存在的文献\n- ✅ 明确标注\"未找到\"当检索无果\n- ✅ 提供可验证的链接和信息来源\n- ❌ 绝不生成虚假的文献信息\n- ❌ 绝不编造不存在的下载链接\n\n## 功能\n\n根据你提供的主题、篇名、关键词、作者等信息，在主流学术数据库中检索文献，返回：\n- 文献基本信息（标题、作者、期刊）\n- 文献简介（摘要或核心内容）\n- 期刊影响因子（如有）\n- 官方下载/访问链接\n\n## 使用方法\n\n### 基础检索\n\n```\n找关于[主题]的文献\n搜索[关键词]相关的论文\n查找[作者]发表的论文\n找篇名包含[标题关键词]的文章\n```\n\n### 高级检索（组合条件）\n\n```\n找深度学习在医学影像中的应用，近5年，影响因子>5\n搜索Transformer架构的综述文章，发表在Nature或Science\n查找张三关于癌症免疫治疗的文献\n找篇名包含\"attention mechanism\"的论文，2020年后发表\n```\n\n### 指定数据库\n\n```\n在PubMed上找关于COVID-19疫苗的文献\n在arXiv上搜索大语言模型相关论文\n在知网查找人工智能教育应用的中文文献\n```\n\n## 支持的数据源\n\n| 数据库 | 适用领域 | 特点 |\n|--------|---------|------|\n| **PubMed** | 生物医学 | 权威医学文献，含影响因子 |\n| **Google Scholar** | 全学科 | 覆盖面广，引用数据 |\n| **arXiv** | 物理、数学、CS | 预印本，免费下载 |\n| **Semantic Scholar** | 全学科 | AI驱动，相关推荐 |\n| **Crossref** | 全学科 | DOI解析，元数据 |\n| **知网(CNKI)** | 中文学术 | 中文核心期刊 |\n| **万方** | 中文学术 | 中文学位论文 |\n| **Web of Science** | 全学科 | 高影响力期刊 |\n\n## 检索流程\n\n当我收到你的检索请求时：\n\n1. **解析需求** - 提取主题、关键词、限制条件（时间、期刊、影响因子等）\n2. **选择数据库** - 根据学科领域选择合适的数据源\n3. **执行检索** - 使用浏览器访问数据库官网进行真实检索\n4. **验证结果** - 确认文献真实存在，信息准确\n5. **格式化输出** - 按标准格式返回结果\n\n## 输出格式\n\n### 找到文献时\n\n```\n📄 检索结果 [1/5]\n\n标题：Attention Is All You Need\n作者：Ashish Vaswani, Noam Shazeer, Niki Parmar, et al.\n期刊：Advances in Neural Information Processing Systems (NeurIPS 2017)\n影响因子：会议论文无IF，但NeurIPS为CCF-A类顶会\n被引次数：80,000+（Google Scholar，截至2024）\n\n📋 简介：\n提出了Transformer架构，完全基于注意力机制，摒弃了RNN和CNN。\n这是大语言模型（如GPT、BERT）的基础论文。\n\n🔗 链接：\n- arXiv: https://arxiv.org/abs/1706.03762\n- PDF下载: https://arxiv.org/pdf/1706.03762.pdf\n- Semantic Scholar: https://www.semanticscholar.org/paper/...\n\n---\n```\n\n### 未找到时\n\n```\n❌ 未找到符合条件的文献\n\n检索条件：主题=\"量子计算在药物发现中的应用\"，时间=2020-2024，影响因子>10\n检索数据库：PubMed, Web of Science\n\n可能原因：\n1. 检索条件过于严格（建议放宽影响因子限制）\n2. 该交叉领域文献较少\n3. 关键词需要调整\n\n建议：\n- 尝试更宽泛的关键词如\"quantum computing\" + \"drug discovery\"\n- 移除影响因子限制，或降低至>5\n- 扩大时间范围\n```\n\n## 示例对话\n\n### 示例1：主题检索\n\n**用户：** 找关于深度学习在医学影像诊断中的文献，近3年，影响因子>5\n\n**我：**\n> 正在为您检索...\n> \n> 📄 检索结果 [1/5]\n> \n> **标题：** Deep Learning for Medical Image Analysis: A Comprehensive Review\n> **作者：** Jane Smith, John Doe, et al.\n> **期刊：** Nature Reviews Bioengineering (2023)\n> **影响因子：** 42.8\n> \n> 📋 简介：\n> 全面综述了深度学习在医学影像分析中的应用，涵盖X光、CT、MRI等多种模态，\n> 讨论了当前挑战和未来方向。\n> \n> 🔗 链接：\n> - 官方页面: https://www.nature.com/articles/...\n> - PubMed: https://pubmed.ncbi.nlm.nih.gov/...\n> \n> ---\n> \n> 📄 检索结果 [2/5]\n> \n> **标题：** A Survey on Deep Learning in Medical Image Analysis\n> **作者：** Geert Litjens, Thijs Kooi, et al.\n> **期刊：** Medical Image Analysis (2022)\n> **影响因子：** 13.8\n> \n> ...\n\n### 示例2：精确查找\n\n**用户：** 找篇名是\"Attention Is All You Need\"的论文\n\n**我：**\n> ✅ 找到精确匹配的文献\n> \n> 📄 Attention Is All You Need\n> \n> **作者：** Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, Illia Polosukhin\n> **发表：** Advances in Neural Information Processing Systems 30 (NeurIP"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn77nj4b7e94d9w798r1c4b34h85qk5m\",\n  \"slug\": \"paper-finder\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1777341949686\n}"},{"path":"skill-card.md","content":"## Description:\n\n根据主题、篇名、关键词等检索学术文献，返回真实的期刊信息、影响因子和下载链接，找不到就是找不到，绝不编造\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[wangjinhongmy-pixel](https://clawhub.ai/user/wangjinhongmy-pixel)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal ClawHub users use this skill to ask an agent to search academic literature by topic, title, keyword, author, database, publication date, or impact-factor constraints. The skill is intended to return verifiable paper metadata, summaries, citation or journal metrics when available, and official access or download links.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Research queries may be sent to external academic websites during browser-based searching.\n\nMitigation: Avoid confidential, unpublished, personally sensitive, or proprietary research terms unless the user intends them to be searched online.\n\nRisk: Search results, impact factors, and citation counts can be incomplete, outdated, or unavailable across academic databases.\n\nMitigation: Use the returned source links to verify paper metadata and metrics before relying on them for academic, publication, or purchasing decisions.\n\nRisk: The skill may provide access links for paywalled papers, but it cannot grant subscription access.\n\nMitigation: Use institutional access, publisher pages, or legitimate open-access copies when full text is not publicly available.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/wangjinhongmy-pixel/skills/paper-finder)\n- [ClawHub publisher profile](https://clawhub.ai/user/wangjinhongmy-pixel)\n- [arXiv example record](https://arxiv.org/abs/1706.03762)\n- [PubMed](https://pubmed.ncbi.nlm.nih.gov/)\n- [Semantic Scholar](https://www.semanticscholar.org/)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Guidance]\n\n**Output Format:** [Markdown search results with bibliographic metadata, short summaries, metrics when available, and verified access links]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May include not-found explanations and suggestions to broaden or refine search criteria.]\n\n## Skill Version(s):\n\n1.0.0 (source: release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"根据主题、篇名、关键词等检索学术文献，返回真实的期刊信息、影响因子和下载链接，找不到就是找不到，绝不编造 Skill: 学术文献检索（期刊信息、影响因子、下载链接） Owner: wangjinhongmy-pixel Summary: 根据主题、篇名、关键词等检索学术文献，返回真实的期刊信息、影响因子和下载链接，找不到就是找不到，绝不编造 Tags: latest:1.0.0 Version history: v1.0.0 | 2026-04-28T02:05:49.686Z | user - 首发版本，提供可靠的学术文献检索助手 - 严格遵守“找不到就是找不到，绝不编造”原则，所有结果真实可查 - 支持按主题、篇名、关键词、作者等多条件检索文献 - 返回文献的详细信息、影响因子、被引数据及可验证的下载/访问链接 - 覆盖多种主流数据库（如PubMed、arXiv、Google Scholar、知网等） - 详细说明支持的检索用法、数据库、输出格式和使用建议 Archive index: Archive v1.0.0: 3 fil","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":707,"uniquenessScore":69,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-11T21:54:52.454Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-11T21:54:52.454Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-13T16:31:35.888Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. 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