{"slug":"linwei-chen-paper-deep-reader-skill","name":"Paper Deep Reader Skill","description":"A source-grounded paper deep-reading agent skill with domain lenses, evidence audits, and adaptable delivery modes for cross-disciplinary research.","long_description":"# Paper Deep Reader\n\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)\n[![Version](https://img.shields.io/badge/version-3.0.0-blue.svg)](CHANGELOG.md)\n\n面向跨学科科研人员的、来源可追溯的单篇论文深读 Agent Skill。它从 PDF、URL、DOI、预印本标识、标题或全文出发，适配**论文领域、读者背景、研究目标、交付密度与模型视觉能力**。\n\n它不是摘要扩写器，也不把“写得很长”当成“读得很深”。它希望让读者在最短时间内回答：\n\n- 论文真正解决了什么具体问题？\n- 作者相对旧方法、旧理论或旧研究设计究竟改变了什么？\n- 核心机制能否用一个具体例子从头走通？\n- 关键公式、定义或分析框架怎样对应实际研究步骤？\n- 哪些图表与证据真正支撑核心结论，哪些只是作者的解释？\n- 论文值得精读、复现、引用、迁移，还是应当跳过？\n\n默认交付一份紧凑的“讲懂版”：\n\n```text\n为什么做 → 核心机制怎么工作 → 凭什么相信 → 在哪里会失败\n```\n\n核心原则是：**读深不等于写长；有助理解的图表必须加入，内部审计清单不必全部倾倒给读者。**\n\n## 核心理念\n\n### 深读与长写是两回事\n\n阅读范围由 `depth` 决定，写作密度由 `delivery` 决定。默认可以完整核对方法、证据和附录，同时只向读者呈现改变理解或判断的内容。压缩的是重复、背景和过程记录，不是核心机制、决定性证据或结论边界。\n\n### 先建立理解，再展开审计\n\n报告先用一个最小例子讲通机制，再回到术语、公式和精确条件。需要审稿、复现或逐图表核查时，先保留可独立阅读的理解层，再把详细账本放进附录，而不是让读者先穿过几十页检查表。\n\n### 完整性属于证据系统，不等于正文全量展示\n\n所有编号图表、关键形式化对象和核心主张仍进入 manifest 与 source map。主文只选择那些删除后会导致读者误解机制、误判证据或越过边界的内容。这样既保留可审计性，也避免把后台账本变成前台负担。\n\n### 图表是理解接口，不是装饰\n\n总体框架、机制流程、关键比较、决定性结果和失效边界图，只要能显著降低理解成本，就应进入正文。选择图表不采用僵硬数量上限，而要求每张图回答一个独立问题，并说明“先看哪里、真正说明什么、不能说明什么”。\n\n### 解释可以适配，事实不能随画像变化\n\n读者背景会改变术语密度、例子、推导步长和技术重点，但不会改变论文事实、证据等级或缺失信息。跨学科类比只能搭桥，不能替代精确定义。\n\n### 结论必须回到证据边界\n\n论文自称“首个”或“SOTA”不等于已经独立验证。报告区分作者主张、直接证据、本文推断和外部背景，并明确最可信结论、最薄弱主张、替代解释与最快补强方式。\n\n## 主要特性\n\n- **三遍阅读法**：全局地图 → 机制重构 → 证据审查。\n- **理解优先**：先用一个具体例子讲通机制，再回到术语、公式和精确条件。\n- **四种交付模式**：`brief`、`explain`、`audit`、`targeted`。\n- **深度与篇幅分离**：默认 `depth: deep + delivery: explain`，完整阅读但选择性表达。\n- **视觉教学**：加入能讲清框架、机制、比较、证据或边界的图表，不设僵硬数量上限。\n- **证据可追溯**：区分作者主张、直接证据、报告推断和外部背景。\n- **视觉能力双路由**：视觉模型直接核图；无视觉模型使用结构化来源、标题、正文引用、PDF 文字层或 OCR，并明确限制。\n- **结构化读者画像**：`domain × audience × goal × depth × delivery × language` 独立配置。\n- **多目标路由**：理解、审稿、复现、教学和跨领域迁移采用不同重点。\n- **全量视觉账本**：记录 Figure、Table、Algorithm、Scheme、Plate、Box 等编号对象及其核验状态。\n- **形式化零跳步**：解释承重公式、定义、定理、统计量或分析框架的目标、组成、研究位置和边界。\n- **主张—证据映射**：核心结论可回溯到实验、证明、观测、材料、案例或明确标注的推断。\n- **论文类型路由**：方法、理论、实证/观察、数据集/基准、系统、综述采用不同审查标准。\n- **跨学科 Lens**：覆盖计算机/AI、生物医学、物理/数学、化学/材料、工程、社会科学、地球环境与人文定性研究。\n- **CV 深度支持**：保留 backbon","tagline":"Cross-disciplinary, source-grounded paper deep-reading Agent Skill with vision/text-only routes, domain lenses, and evidence audits.","category":"research","tags":["paper-reading","agent-skill","deep-reading","evidence-audit","research"],"author":"Linwei-Chen","verified":false,"attribution":{"status":"community_indexed","statusLabel":"Community indexed","shortLabel":"COMMUNITY INDEXED","sourceLabel":"OpenAgentSkill auto-indexer","sourceDetail":"Linwei-Chen/paper-deep-reader-skill","creatorName":"Linwei-Chen","creatorUrl":"https://github.com/Linwei-Chen","sourceUrl":"https://github.com/Linwei-Chen/paper-deep-reader-skill","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/linwei-chen-paper-deep-reader-skill#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. 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Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"Paper Deep Reader Skill\" from https://github.com/Linwei-Chen/paper-deep-reader-skill into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: A source-grounded paper deep-reading agent skill with domain lenses, evidence audits, and adaptable delivery modes for cross-disciplinary research. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"linwei-chen-paper-deep-reader-skill\",\"task\":\"Install Paper Deep Reader Skill\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/linwei-chen-paper-deep-reader-skill/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/linwei-chen-paper-deep-reader-skill"},"trust":{"score":76,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"19 GitHub stars","repoActivity":"19 stars, 1 forks","lastPushed":"8d since push","license":"MIT","repository":"https://github.com/Linwei-Chen/paper-deep-reader-skill","install":"npx skills add Linwei-Chen/paper-deep-reader-skill","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","paper-reading","agent-skill","deep-reading","evidence-audit","Python"],"known_risks":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 19 GitHub stars","Stars/forks activity: 19 stars, 1 forks; issue activity unavailable in current metadata"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":82,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 19 GitHub stars","Stars/forks activity: 19 stars, 1 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":71,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"8d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 19 GitHub stars","Stars/forks activity: 19 stars, 1 forks; issue activity unavailable in current metadata","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"agent_contract":{"task_input":"Use Paper Deep Reader Skill in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 76/100 Strong shortlist","Audit: 82/100 Needs review","Safety: 66/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"linwei-chen-paper-deep-reader-skill (Paper Deep Reader Skill)","install_command":"npx skills add Linwei-Chen/paper-deep-reader-skill","risk_summary":"Needs review; Reviewed with permission notes; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"linwei-chen-paper-deep-reader-skill","task":"Use Paper Deep Reader Skill in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/linwei-chen-paper-deep-reader-skill","api":"https://www.openagentskill.com/api/agent/skills/linwei-chen-paper-deep-reader-skill","audit":"https://www.openagentskill.com/skills/linwei-chen-paper-deep-reader-skill/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=linwei-chen-paper-deep-reader-skill&task=Use%20Paper%20Deep%20Reader%20Skill%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20Paper%20Deep%20Reader%20Skill%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20Paper%20Deep%20Reader%20Skill%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/linwei-chen-paper-deep-reader-skill/install","manifest":"https://www.openagentskill.com/api/registry/manifest/linwei-chen-paper-deep-reader-skill"}},"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"Research agents","description":"I need my agent to research a topic, compare sources, and produce a concise report.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"document-processing","title":"Document processing"},{"slug":"rag-knowledge","title":"RAG and knowledge"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor","Python"],"install":{"ready":true,"command":"npx skills add Linwei-Chen/paper-deep-reader-skill","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":19,"starsLabel":"19","forks":1,"license":"MIT","qualityScore":71,"trustScore":76,"auditScore":82},"maintenance":{"status":"fresh","label":"8d since push","daysSincePush":8,"lastPushedAt":"2026-08-15T09:28:19+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 19 GitHub stars","Stars/forks activity: 19 stars, 1 forks; issue activity unavailable in current metadata","Needs review"]},"coverageTags":["Research","Research agents","paper-reading","agent-skill","deep-reading","evidence-audit","Python"]},"audit":{"audit_score":82,"risk_level":"needs_review","risk_label":"Needs review","quality_score":71,"trust_score":76,"maintenance_score":100,"security_score":86,"install_score":92,"warnings":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 19 GitHub stars","Stars/forks activity: 19 stars, 1 forks; issue activity unavailable in current metadata"]},"quality_signals":{"model":"v2","star_score":9.11,"usage_score":0,"review_score":12.75,"metadata_score":7,"freshness_score":15},"platforms":["Python","Claude Code"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"document-processing","title":"Document processing","url":"https://www.openagentskill.com/use-cases/document-processing"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"}],"stacks":[{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"},{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"}],"install":"npx skills add Linwei-Chen/paper-deep-reader-skill","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install linwei-chen-paper-deep-reader-skill","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Paper Deep Reader Skill\" agent skill from https://github.com/Linwei-Chen/paper-deep-reader-skill. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: A source-grounded paper deep-reading agent skill with domain lenses, evidence audits, and adaptable delivery modes for cross-disciplinary research. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"linwei-chen-paper-deep-reader-skill\",\"task\":\"Install Paper Deep Reader Skill\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Paper Deep Reader Skill\" as a Claude Code skill from https://github.com/Linwei-Chen/paper-deep-reader-skill. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: A source-grounded paper deep-reading agent skill with domain lenses, evidence audits, and adaptable delivery modes for cross-disciplinary research. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"linwei-chen-paper-deep-reader-skill\",\"task\":\"Install Paper Deep Reader Skill\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Paper Deep Reader Skill\" from https://github.com/Linwei-Chen/paper-deep-reader-skill into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: A source-grounded paper deep-reading agent skill with domain lenses, evidence audits, and adaptable delivery modes for cross-disciplinary research. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"linwei-chen-paper-deep-reader-skill\",\"task\":\"Install Paper Deep Reader Skill\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/Linwei-Chen/paper-deep-reader-skill","github_repo":"Linwei-Chen/paper-deep-reader-skill","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/linwei-chen-paper-deep-reader-skill","repository":"https://github.com/Linwei-Chen/paper-deep-reader-skill","api":"/api/agent/skills/linwei-chen-paper-deep-reader-skill","install_api":"/api/skills/linwei-chen-paper-deep-reader-skill/install"},"meta":{"created_at":"2026-08-15T09:36:02.485144+00:00","updated_at":"2026-08-18T17:22:21.819119+00:00","agent_friendly":true}}