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请使用 search 统一入口\n\n> **本技能保留用于向后兼容，功能已整合到 `search` 统一入口技能**\n>\n> **推荐使用：** `search scholar [关键词]` 或直接使用本技能（自动转发）\n\n---\n\n# Semantic Scholar Search（兼容层）\n\n免费、高质量的学术论文检索工具 - 基于 Semantic Scholar API。\n\n## 迁移指南\n\n**新用法：**\n```\nsearch scholar machine learning\nsearch scholar attention mechanism year=2020-\nsearch scholar Yann LeCun\n```\n\n**旧用法（仍然可用）：**\n```\nscholar machine learning\n```\n\n## 特点\n- ✅ 免费使用，无需注册\n- ✅ 覆盖计算机科学、生物医学、物理等多个领域\n- ✅ 提供论文引用数、作者信息、摘要等详细元数据\n- ✅ 支持高级搜索和过滤\n\n## 技术实现\n- **API:** Semantic Scholar API v2\n- **速率限制:** 免费层 100 次/小时\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn7024ea9mpn20nvh221shx04h8434xe\",\n  \"slug\": \"semantic-scholar-search\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1776430668107\n}\n\nFile v1.0.0:skill-card.md\n\n## Description:\n\nSemantic Scholar Search helps agents find academic papers and related metadata through Semantic Scholar while preserving compatibility with the older scholar entry point.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[jirboy](https://clawhub.ai/user/jirboy)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and external users can use this skill to search Semantic Scholar for papers or authors and review titles, authors, abstracts, citation counts, venues, years, and source URLs. It is also maintained as a compatibility path for older scholar-style calls while recommending the newer search scholar entry point.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Dependency metadata declares the Python requests package as an npm dependency, which may fail during installation or resolve an unintended package.\n\nMitigation: Review or correct dependency metadata before installing, and ensure requests is provided through an appropriate Python dependency mechanism.\n\nRisk: Search terms are sent to Semantic Scholar.\n\nMitigation: Avoid submitting sensitive or confidential research queries unless that external disclosure is acceptable.\n\nRisk: The visible skill instructions are primarily in Chinese.\n\nMitigation: Confirm that operators and reviewers can understand the instructions or provide an approved translation before deployment.\n\n## Reference(s):\n\n- [Semantic Scholar API](https://api.semanticscholar.org/)\n- [Semantic Scholar Graph API v1](https://api.semanticscholar.org/graph/v1)\n- [ClawHub skill page](https://clawhub.ai/jirboy/skills/semantic-scholar-search)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Guidance]\n\n**Output Format:** [Plain text search results with paper or author metadata and error messages when requests fail]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Search terms are sent to Semantic Scholar; paper output is limited to 10 results by the script.]\n\n## Skill Version(s):\n\n1.0.0 (source: package.json and server-resolved release metadata)\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.\n\nFile v1.0.0:package.json\n\n{\n  \"name\": \"semantic-scholar-search\",\n  \"version\": \"1.0.0\",\n  \"description\": \"Semantic Scholar academic search skill - free, high-quality paper search\",\n  \"main\": \"semantic_scholar.py\",\n  \"scripts\": {\n    \"test\": \"echo \\\"No tests specified\\\" && exit 0\"\n  },\n  \"keywords\": [\"academic\", \"search\", \"paper\", \"semantic-scholar\", \"openclaw-skill\"],\n  \"author\": \"OpenClaw Community\",\n  \"license\": \"MIT\",\n  \"dependencies\": {\n    \"requests\": \">=2.31.0\"\n  }\n}","readmeExcerpt":"Skill: Semantic Scholar Search Owner: jirboy Summary: 通过 Semantic Scholar API 免费检索学术论文，支持多领域搜索、详细元数据及高级筛选，兼容旧入口调用。 Tags: latest:1.0.0 Version history: v1.0.0 | 2026-04-17T12:57:48.107Z | auto - Semantic Scholar 搜索功能已整合至 search 统一入口技能，保留本技能用于兼容旧用法。 - 推荐使用新格式 search scholar [关键词]，原有调用方式仍可用，将自动转发到新入口。 - 技能继续支持免费、跨学科高质量论文检索，并提供详细论文元数据。 - 文档加入迁移指南，方便用户平滑过渡至新版用法。 Archive index: Archive v1.0.0: 5 files, 5321 bytes Files: pa","codeSnippets":[],"executableExamples":[{"language":"text","snippet":"search scholar machine learning\nsearch scholar attention mechanism year=2020-\nsearch scholar Yann LeCun"},{"language":"text","snippet":"scholar machine learning"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: semantic-scholar-search\ndescription: [已整合] Semantic Scholar 搜索已整合到 search 统一入口技能\nargument-hint: \"[搜索关键词]\"\n---\n\n# ⚠️ 已整合 - 请使用 search 统一入口\n\n> **本技能保留用于向后兼容，功能已整合到 `search` 统一入口技能**\n>\n> **推荐使用：** `search scholar [关键词]` 或直接使用本技能（自动转发）\n\n---\n\n# Semantic Scholar Search（兼容层）\n\n免费、高质量的学术论文检索工具 - 基于 Semantic Scholar API。\n\n## 迁移指南\n\n**新用法：**\n```\nsearch scholar machine learning\nsearch scholar attention mechanism year=2020-\nsearch scholar Yann LeCun\n```\n\n**旧用法（仍然可用）：**\n```\nscholar machine learning\n```\n\n## 特点\n- ✅ 免费使用，无需注册\n- ✅ 覆盖计算机科学、生物医学、物理等多个领域\n- ✅ 提供论文引用数、作者信息、摘要等详细元数据\n- ✅ 支持高级搜索和过滤\n\n## 技术实现\n- **API:** Semantic Scholar API v2\n- **速率限制:** 免费层 100 次/小时"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7024ea9mpn20nvh221shx04h8434xe\",\n  \"slug\": \"semantic-scholar-search\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1776430668107\n}"},{"path":"skill-card.md","content":"## Description:\n\nSemantic Scholar Search helps agents find academic papers and related metadata through Semantic Scholar while preserving compatibility with the older scholar entry point.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[jirboy](https://clawhub.ai/user/jirboy)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and external users can use this skill to search Semantic Scholar for papers or authors and review titles, authors, abstracts, citation counts, venues, years, and source URLs. It is also maintained as a compatibility path for older scholar-style calls while recommending the newer search scholar entry point.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Dependency metadata declares the Python requests package as an npm dependency, which may fail during installation or resolve an unintended package.\n\nMitigation: Review or correct dependency metadata before installing, and ensure requests is provided through an appropriate Python dependency mechanism.\n\nRisk: Search terms are sent to Semantic Scholar.\n\nMitigation: Avoid submitting sensitive or confidential research queries unless that external disclosure is acceptable.\n\nRisk: The visible skill instructions are primarily in Chinese.\n\nMitigation: Confirm that operators and reviewers can understand the instructions or provide an approved translation before deployment.\n\n## Reference(s):\n\n- [Semantic Scholar API](https://api.semanticscholar.org/)\n- [Semantic Scholar Graph API v1](https://api.semanticscholar.org/graph/v1)\n- [ClawHub skill page](https://clawhub.ai/jirboy/skills/semantic-scholar-search)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Guidance]\n\n**Output Format:** [Plain text search results with paper or author metadata and error messages when requests fail]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Search terms are sent to Semantic Scholar; 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