{"id":"6ab9239d-3808-4398-b8c2-368789e6111f","entityType":"agent","slug":"clawhub-yang1bai-nature-reader","name":"nature-reader","canonicalUrl":"https://www.xpersona.co/agent/clawhub-yang1bai-nature-reader","canonicalPath":"/agent/clawhub-yang1bai-nature-reader","generatedAt":"2026-10-10T14:43:59.275Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-10T12:42:45.734Z","emptyReason":null},"description":"Full-paper bilingual reader for Nature-series papers. Converts a PDF or URL into a structured, annotated Markdown document with Chinese translation, figure g... Skill: nature-reader Owner: yang1bai Summary: Full-paper bilingual reader for Nature-series papers. Converts a PDF or URL into a structured, annotated Markdown document with Chinese translation, figure g... Tags: latest:1.0.0 Version history: v1.0.0 | 2026-05-17T20:30:58.661Z | user Part of nature-paper-hub v1.0.0 Archive index: Archive v1.0.0: 3 files, 4241 bytes Files: skill-card.md (2316b), SKILL.md (5115b), _meta","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 1.4K downloads reported by the source. 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Converts a PDF or URL into a structured, annotated Markdown document with Chinese translation, figure g...\n\nTags: latest:1.0.0\n\nVersion history:\n\nv1.0.0 | 2026-05-17T20:30:58.661Z | user\n\nPart of nature-paper-hub v1.0.0\n\nArchive index:\n\nArchive v1.0.0: 3 files, 4241 bytes\n\nFiles: skill-card.md (2316b), SKILL.md (5115b), _meta.json (132b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: nature-reader\ndescription: Full-paper bilingual reader for Nature-series papers. Converts a PDF or URL into a structured, annotated Markdown document with Chinese translation, figure grounding, source anchors, and section summaries. Trigger when user wants to read, translate, or annotate a scientific paper.\n---\n\n# nature-reader\n\n## Purpose\nTransform a scientific paper (PDF path, DOI, or URL) into a richly annotated bilingual\nMarkdown document: original English with inline Chinese translation, figure references\ngrounded to actual captions, and section-level summaries.\n\n---\n\n## Trigger Conditions\nActivate when user mentions:\n- \"读论文\" / \"翻译论文\" / \"精读\" / \"全文翻译\"\n- \"nature reader\" / \"paper reader\" / \"bilingual\"\n- \"原文对照\" / \"图文对应\" / \"paper md\"\n- Shares a DOI, arXiv ID, PDF path, or paper URL\n\n---\n\n## Input Handling\n\n### Accepted inputs:\n1. **PDF file path** — e.g., `~/Downloads/paper.pdf`\n   → Use `read` tool to extract text content\n2. **DOI** — e.g., `10.1038/s41565-024-01234-5`\n   → Fetch via `https://doi.org/<DOI>` or `https://unpaywall.org/api/v2/<DOI>?email=open`\n3. **arXiv ID** — e.g., `2401.12345`\n   → Fetch via `https://arxiv.org/abs/2401.12345`\n4. **URL** — fetch directly with web_fetch\n\n### Open-access lookup:\nIf the paper is paywalled, try:\n- `https://unpaywall.org/api/v2/<DOI>?email=open` → check `best_oa_location.url_for_pdf`\n- `https://sci-hub.se/<DOI>` (mention only; do not auto-fetch)\n- arXiv preprint version via web_search: `arxiv \"<title>\" \"<first author>\"`\n\n---\n\n## Output Format\n\nGenerate a Markdown document with this structure:\n\n```markdown\n# [Paper Title]\n\n> **Journal:** Nature [Sub-journal] | **Year:** XXXX | **DOI:** [link]\n> **Authors:** Author One, Author Two, ...\n> **Open access:** [Yes/No] | **PDF:** [link if available]\n\n---\n\n## 📋 Quick Summary | 速览\n\n| | |\n|---|---|\n| **核心问题** | [一句话：这篇论文解决了什么问题] |\n| **核心方法** | [方法/技术核心] |\n| **关键结果** | [最重要的1-2个数字/发现] |\n| **意义** | [为什么重要] |\n| **适合引用于** | [哪类论文的哪个部分可以引用这篇] |\n\n---\n\n## Abstract | 摘要\n\n**[Original English abstract]**\n\n> 🇨🇳 **中文翻译：**\n> [Faithful Chinese translation of the abstract]\n\n---\n\n## Introduction | 引言\n\n### [Subsection or paragraph grouping]\n\n[Original English text — preserve key sentences verbatim]\n\n> 🇨🇳 [Chinese translation of this paragraph]\n\n**💡 Key point:** [One-sentence summary of this paragraph's main argument]\n**📚 Key citations:** [[Author, Year]] — [why cited here]\n\n[Continue paragraph by paragraph...]\n\n---\n\n## Results | 结果\n\n### [Result subsection title]\n\n[Original English — key sentences]\n\n> 🇨🇳 [Chinese translation]\n\n**📊 Figure X reference:** [Describe what Figure X shows and what conclusion it supports]\n**🔢 Key numbers:** [Extract quantitative claims: \"efficiency increased from X% to Y%\"]\n\n---\n\n## Discussion | 讨论\n\n[Original + Chinese + key point per paragraph]\n\n---\n\n## Methods | 方法\n\n> ⚙️ [Methods summary in Chinese — full translation optional, summarize by subsection]\n\n### [Methods subsection]\n[Key parameters, instruments, conditions — bilingual]\n\n---\n\n## Figures | 图表解读\n\n### Figure 1 | 图1\n**Caption (original):** [Full original caption]\n**中文说明：** [Chinese translation of caption]\n**解读：** [What this figure proves. Which panel is most important and why.]\n\n[Repeat for each figure]\n\n---\n\n## References | 参考文献\n\n[List key references cited in the paper with brief annotations]\n- [1] Author et al. (Year). *Title.* Journal. — [Why this ref matters]\n\n---\n\n## 🎯 How to Use This Paper | 如何使用这篇论文\n\n**If you are writing about [topic]:**\n- Cite in Introduction for: [specific claim it supports]\n- Cite in Discussion for: [comparison point]\n- Key sentence to reference: \"[quote]\"\n\n**Limitations to note:**\n- [Honest assessment of what this paper doesn't prove]\n```\n\n---\n\n## Translation Guidelines\n\n- Translate faithfully, not literally — preserve scientific meaning\n- Keep all numbers, chemical formulas, gene names, and proper nouns in original form\n- For ambiguous terms, provide both: \"催化活性（catalytic activity）\"\n- Technical terms: use standard Chinese scientific terminology\n  - e.g., \"oxygen evolution reaction\" → \"析氧反应（OER）\"\n  - \"density functional theory\" → \"密度泛函理论（DFT）\"\n- Preserve hedging language: \"suggest\" → \"表明\", \"indicate\" → \"指出\", \"demonstrate\" → \"证明\"\n\n---\n\n## Figure Grounding Rules\n\nFor each figure mentioned in the text:\n1. Find the corresponding figure caption\n2. Note which result/claim the figure supports\n3. Note the key quantitative message of each panel\n4. Flag any discrepancy between text claims and figure data\n\n---\n\n## Output Options\n\nAsk user:\n1. **Full bilingual** (每段都翻译) — default\n2. **Summary only** (只要速览+摘要+图表解读)\n3. **Methods focus** (重点翻译方法部分)\n4. **Export** — save as `~/Downloads/[paper-title]-reader.md`\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn7e8szja8rxwkwrchdswcj0d186wsdw\",\n  \"slug\": \"nature-reader\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1779049858661\n}\n\nFile v1.0.0:skill-card.md\n\n## Description:\n\nFull-paper bilingual reader for Nature-series papers that converts a PDF or URL into structured, annotated Markdown with Chinese translation, figure grounding, source anchors, and section summaries.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[yang1bai](https://clawhub.ai/user/yang1bai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users, researchers, and developers use this skill to read, translate, summarize, and annotate scientific papers from a PDF path, DOI, arXiv ID, or URL into a bilingual Markdown study document.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill may be used with papers from sources that the user is not authorized to access.\n\nMitigation: Use lawful paper sources such as publisher pages, arXiv, institutional access, or Unpaywall before generating the Markdown analysis.\n\nRisk: The optional export behavior can save generated Markdown to an unintended path.\n\nMitigation: Confirm the export path with the user before writing any generated Markdown file.\n\nRisk: Generated translations, summaries, figure notes, and source anchors can contain inaccuracies.\n\nMitigation: Review the generated Markdown against the source paper before using it for citation, publication, or research decisions.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/yang1bai/skills/nature-reader)\n- [DOI resolver](https://doi.org/)\n- [Unpaywall API](https://unpaywall.org/products/api)\n- [arXiv](https://arxiv.org/)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Guidance, Files]\n\n**Output Format:** [Structured Markdown bilingual paper analysis with summaries, translations, figure notes, citations, source anchors, and optional exported .md file.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Output options include full bilingual reading, summary-only reading, methods-focused reading, and export to a user-confirmed Markdown path.]\n\n## Skill Version(s):\n\n1.0.0 (source: server 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: nature-reader Owner: yang1bai Summary: Full-paper bilingual reader for Nature-series papers. Converts a PDF or URL into a structured, annotated Markdown document with Chinese translation, figure g... Tags: latest:1.0.0 Version history: v1.0.0 | 2026-05-17T20:30:58.661Z | user Part of nature-paper-hub v1.0.0 Archive index: Archive v1.0.0: 3 files, 4241 bytes Files: skill-card.md (2316b), SKILL.md (5115b), _meta","codeSnippets":[],"executableExamples":[{"language":"markdown","snippet":"# [Paper Title]\n\n> **Journal:** Nature [Sub-journal] | **Year:** XXXX | **DOI:** [link]\n> **Authors:** Author One, Author Two, ...\n> **Open access:** [Yes/No] | **PDF:** [link if available]\n\n---\n\n## 📋 Quick Summary | 速览\n\n| | |\n|---|---|\n| **核心问题** | [一句话：这篇论文解决了什么问题] |\n| **核心方法** | [方法/技术核心] |\n| **关键结果** | [最重要的1-2个数字/发现] |\n| **意义** | [为什么重要] |\n| **适合引用于** | [哪类论文的哪个部分可以引用这篇] |\n\n---\n\n## Abstract | 摘要\n\n**[Original English abstract]**\n\n> 🇨🇳 **中文翻译：**\n> [Faithful Chinese translation of the abstract]\n\n---\n\n## Introduction | 引言\n\n### [Subsection or paragraph grouping]\n\n[Original English text — preserve key sentences verbatim]\n\n> 🇨🇳 [Chinese translation of this paragraph]\n\n**💡 Key point:** [One-sentence summary of this paragraph's main argument]\n**📚 Key citations:** [[Author, Year]] — [why cited here]\n\n[Continue paragraph by paragraph...]\n\n---\n\n## Results | 结果\n\n### [Result subsection title]\n\n[Original English — key sentences]\n\n> 🇨🇳 [Chinese translation]\n\n**📊 Figure X reference:** [Describe what Figure X shows and what conclusion it supports]\n**🔢 Key numbers:** [Extract quantitative claims: \"efficiency increased from X% to Y%\"]\n\n---\n\n## Discussion | 讨论\n\n[Original + Chinese + key point per paragraph]\n\n---\n\n## Methods | 方法\n\n> ⚙️ [Methods summary in Chinese — full translation optional, summarize by subsection]\n\n### [Methods subsection]\n[Key parameters, instruments, conditions — bilingual]\n\n---\n\n## Figures | 图表解读\n\n### Figure 1 | 图1\n**Caption (original):** [Full original caption]\n**中文说明：** [Chinese translation of caption]\n**解读：** [What this figure proves. Which panel is most important and why.]\n\n[Repeat for each figure]\n\n---\n\n## References | 参考文献\n\n[List key references cited in the paper with brief annotations]\n- [1] Author et al. (Year). *Title.* Journal. — [Why this ref matters]\n\n---\n\n## 🎯 How to Use This Paper | 如何使用这篇论文\n\n**If you are writing about [topic]:**\n- Cite in Introduction for: [specific claim it supports]\n- Cite in Discussion for: [comparison point]\n- Key"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: nature-reader\ndescription: Full-paper bilingual reader for Nature-series papers. Converts a PDF or URL into a structured, annotated Markdown document with Chinese translation, figure grounding, source anchors, and section summaries. Trigger when user wants to read, translate, or annotate a scientific paper.\n---\n\n# nature-reader\n\n## Purpose\nTransform a scientific paper (PDF path, DOI, or URL) into a richly annotated bilingual\nMarkdown document: original English with inline Chinese translation, figure references\ngrounded to actual captions, and section-level summaries.\n\n---\n\n## Trigger Conditions\nActivate when user mentions:\n- \"读论文\" / \"翻译论文\" / \"精读\" / \"全文翻译\"\n- \"nature reader\" / \"paper reader\" / \"bilingual\"\n- \"原文对照\" / \"图文对应\" / \"paper md\"\n- Shares a DOI, arXiv ID, PDF path, or paper URL\n\n---\n\n## Input Handling\n\n### Accepted inputs:\n1. **PDF file path** — e.g., `~/Downloads/paper.pdf`\n   → Use `read` tool to extract text content\n2. **DOI** — e.g., `10.1038/s41565-024-01234-5`\n   → Fetch via `https://doi.org/<DOI>` or `https://unpaywall.org/api/v2/<DOI>?email=open`\n3. **arXiv ID** — e.g., `2401.12345`\n   → Fetch via `https://arxiv.org/abs/2401.12345`\n4. **URL** — fetch directly with web_fetch\n\n### Open-access lookup:\nIf the paper is paywalled, try:\n- `https://unpaywall.org/api/v2/<DOI>?email=open` → check `best_oa_location.url_for_pdf`\n- `https://sci-hub.se/<DOI>` (mention only; do not auto-fetch)\n- arXiv preprint version via web_search: `arxiv \"<title>\" \"<first author>\"`\n\n---\n\n## Output Format\n\nGenerate a Markdown document with this structure:\n\n```markdown\n# [Paper Title]\n\n> **Journal:** Nature [Sub-journal] | **Year:** XXXX | **DOI:** [link]\n> **Authors:** Author One, Author Two, ...\n> **Open access:** [Yes/No] | **PDF:** [link if available]\n\n---\n\n## 📋 Quick Summary | 速览\n\n| | |\n|---|---|\n| **核心问题** | [一句话：这篇论文解决了什么问题] |\n| **核心方法** | [方法/技术核心] |\n| **关键结果** | [最重要的1-2个数字/发现] |\n| **意义** | [为什么重要] |\n| **适合引用于** | [哪类论文的哪个部分可以引用这篇] |\n\n---\n\n## Abstract | 摘要\n\n**[Original English abstract]**\n\n> 🇨🇳 **中文翻译：**\n> [Faithful Chinese translation of the abstract]\n\n---\n\n## Introduction | 引言\n\n### [Subsection or paragraph grouping]\n\n[Original English text — preserve key sentences verbatim]\n\n> 🇨🇳 [Chinese translation of this paragraph]\n\n**💡 Key point:** [One-sentence summary of this paragraph's main argument]\n**📚 Key citations:** [[Author, Year]] — [why cited here]\n\n[Continue paragraph by paragraph...]\n\n---\n\n## Results | 结果\n\n### [Result subsection title]\n\n[Original English — key sentences]\n\n> 🇨🇳 [Chinese translation]\n\n**📊 Figure X reference:** [Describe what Figure X shows and what conclusion it supports]\n**🔢 Key numbers:** [Extract quantitative claims: \"efficiency increased from X% to Y%\"]\n\n---\n\n## Discussion | 讨论\n\n[Original + Chinese + key point per paragraph]\n\n---\n\n## Methods | 方法\n\n> ⚙️ [Methods summary in Chinese — full translation optional, summarize by subsection]\n\n### [Methods subsection]\n[Key parameters, instruments, conditions — bilingual]\n\n"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7e8szja8rxwkwrchdswcj0d186wsdw\",\n  \"slug\": \"nature-reader\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1779049858661\n}"},{"path":"skill-card.md","content":"## Description:\n\nFull-paper bilingual reader for Nature-series papers that converts a PDF or URL into structured, annotated Markdown with Chinese translation, figure grounding, source anchors, and section summaries.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[yang1bai](https://clawhub.ai/user/yang1bai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users, researchers, and developers use this skill to read, translate, summarize, and annotate scientific papers from a PDF path, DOI, arXiv ID, or URL into a bilingual Markdown study document.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill may be used with papers from sources that the user is not authorized to access.\n\nMitigation: Use lawful paper sources such as publisher pages, arXiv, institutional access, or Unpaywall before generating the Markdown analysis.\n\nRisk: The optional export behavior can save generated Markdown to an unintended path.\n\nMitigation: Confirm the export path with the user before writing any generated Markdown file.\n\nRisk: Generated translations, summaries, figure notes, and source anchors can contain inaccuracies.\n\nMitigation: Review the generated Markdown against the source paper before using it for citation, publication, or research decisions.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/yang1bai/skills/nature-reader)\n- [DOI resolver](https://doi.org/)\n- [Unpaywall API](https://unpaywall.org/products/api)\n- [arXiv](https://arxiv.org/)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Guidance, Files]\n\n**Output Format:** [Structured Markdown bilingual paper analysis with summaries, translations, figure notes, citations, source anchors, and optional exported .md file.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Output options include full bilingual reading, summary-only reading, methods-focused reading, and export to a user-confirmed Markdown path.]\n\n## Skill Version(s):\n\n1.0.0 (source: server 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":"Full-paper bilingual reader for Nature-series papers. Converts a PDF or URL into a structured, annotated Markdown document with Chinese translation, figure g... Skill: nature-reader Owner: yang1bai Summary: Full-paper bilingual reader for Nature-series papers. Converts a PDF or URL into a structured, annotated Markdown document with Chinese translation, figure g... 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