[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-bytedance-academic-paper-review-pl":3,"guides-for-bytedance-academic-paper-review":241,"similar-k17ba7hx1c2htdr84qc7vc86cd867abn":242},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":20,"identity":187,"isFallback":192,"parentExtension":193,"providers":194,"relations":199,"repo":201,"workflow":238},1778053100136.2388,"k17ba7hx1c2htdr84qc7vc86cd867abn",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like \"review this paper\", \"analyze this research\", \"summarize this study\", or \"write a peer review\".",{},"Academic Paper Review Skill","https://github.com/bytedance/deer-flow/tree/HEAD/skills/public/academic-paper-review",[15,16,17,18,19],"research","academic","paper-review","analysis","llm",{"_creationTime":21,"_id":22,"extensionId":5,"locale":23,"result":24,"trustSignals":176,"workflow":185},1778053169012.8137,"kn7bmk9mz4h22we8wvc3n9n9pd866j5z","en",{"checks":25,"evaluatedAt":166,"extensionSummary":167,"promptVersionExtension":168,"promptVersionScoring":169,"rationale":170,"score":171,"summary":172,"tags":173,"targetMarket":174,"tier":175},[26,31,34,37,41,44,48,53,56,59,63,67,70,74,77,80,83,86,89,92,95,99,103,107,111,114,117,120,125,128,131,134,137,140,144,147,150,153,156,159,163],{"category":27,"check":28,"severity":29,"summary":30},"Practical Utility","Problem relevance","pass","The description clearly states the problem of reviewing academic papers and specifies common triggers like paper URLs and upload PDFs, addressing a concrete user need.",{"category":27,"check":32,"severity":29,"summary":33},"Unique selling proposition","The skill offers a unique value proposition by providing a structured, peer-review-quality analysis following top-venue standards, going beyond basic summarization with detailed methodology assessment and literature positioning.",{"category":27,"check":35,"severity":29,"summary":36},"Production readiness","The skill covers the complete lifecycle of academic paper review, from comprehension to structured analysis and synthesis, supported by detailed methodologies and output templates.",{"category":38,"check":39,"severity":29,"summary":40},"Scope","Single responsibility principle","The skill is focused on the domain of academic paper review and analysis, with clear boundaries and no apparent overlap into unrelated domains.",{"category":38,"check":42,"severity":29,"summary":43},"Description quality","The description accurately and concisely reflects the skill's capabilities, providing clear triggers and outlining the review process and output format.",{"category":45,"check":46,"severity":29,"summary":47},"Invocation","Scoped tools","The skill's internal methodology steps are described conceptually and do not expose specific, narrow verb-noun tools. The primary interaction is through the overall skill request, which is appropriate for its scope.",{"category":49,"check":50,"severity":51,"summary":52},"Documentation","Configuration & parameter reference","not_applicable","The skill does not expose any configurable parameters or environment variables that require documentation or explicit precedence order.",{"category":38,"check":54,"severity":51,"summary":55},"Tool naming","The skill does not expose user-facing tools with names; interaction is through natural language prompts invoking the overall skill functionality.",{"category":38,"check":57,"severity":29,"summary":58},"Minimal I/O surface","The skill's input is primarily a paper (URL or PDF) and its output is a structured review. The process is well-defined and does not appear to request extraneous data or return unnecessary information.",{"category":60,"check":61,"severity":29,"summary":62},"License","License usability","The project includes a standard MIT License file, which is a permissive open-source license.",{"category":64,"check":65,"severity":51,"summary":66},"Maintenance","Commit recency","No commit history available for this specific skill file; evaluation relies on broader repository context if available.",{"category":64,"check":68,"severity":51,"summary":69},"Dependency Management","No third-party dependencies are explicitly managed or listed for this skill file itself.",{"category":71,"check":72,"severity":51,"summary":73},"Security","Secret Management","The skill does not appear to use or handle any secrets.",{"category":71,"check":75,"severity":29,"summary":76},"Injection","The skill focuses on processing provided paper content and does not load or execute external, untrusted data as instructions.",{"category":71,"check":78,"severity":29,"summary":79},"Transitive Supply-Chain Grenades","The skill operates on provided content and does not fetch remote code or data at runtime. All logic is contained within the bundle.",{"category":71,"check":81,"severity":29,"summary":82},"Sandbox Isolation","The skill's operations are confined to processing input documents and generating output reviews, with no indication of modifying files outside its designated scope.",{"category":71,"check":84,"severity":29,"summary":85},"Sandbox escape primitives","No evidence of detached-process spawns or retry loops around denied tool calls is present in the skill's instructions.",{"category":71,"check":87,"severity":29,"summary":88},"Data Exfiltration","The skill's purpose is to analyze provided documents and generate reviews; there are no instructions or mechanisms for exfiltrating confidential data.",{"category":71,"check":90,"severity":29,"summary":91},"Hidden Text Tricks","The bundled files are free of hidden-steering tricks such as HTML comments smuggling instructions or invisible Unicode characters.",{"category":71,"check":93,"severity":29,"summary":94},"Opaque code execution","The skill consists of markdown instructions and does not contain any obfuscated code, base64 payloads, or runtime script fetching.",{"category":96,"check":97,"severity":29,"summary":98},"Portability","Structural Assumption","The skill operates on provided documents and does not make assumptions about the user's project file layout.",{"category":100,"check":101,"severity":51,"summary":102},"Trust","Issues Attention","No issue tracker information was provided for this specific skill.",{"category":104,"check":105,"severity":51,"summary":106},"Versioning","Release Management","No versioning information (e.g., version field, changelog, release tags) is present for this specific skill file.",{"category":108,"check":109,"severity":51,"summary":110},"Code Execution","Validation","The skill's execution is primarily within the LLM's comprehension and generation capabilities, not involving executable code with structured inputs/outputs that require schema validation.",{"category":71,"check":112,"severity":29,"summary":113},"Unguarded Destructive Operations","The skill is analytical and does not perform any destructive operations.",{"category":108,"check":115,"severity":29,"summary":116},"Error Handling","The skill's process is managed by the LLM; errors would typically manifest as inability to comprehend or generate output, which is implicitly handled by the LLM's own error states.",{"category":108,"check":118,"severity":51,"summary":119},"Logging","The skill itself does not perform actions that require local audit logging beyond what the overall DeerFlow system might provide.",{"category":121,"check":122,"severity":123,"summary":124},"Compliance","GDPR","info","The skill processes document content which may include personal data. While not submitted to a 3rd party, the LLM itself is an external service, and thus personal data may be submitted to it.",{"category":121,"check":126,"severity":29,"summary":127},"Target market","The skill operates on academic papers across any scientific domain and does not contain region-specific logic, making it globally applicable.",{"category":96,"check":129,"severity":29,"summary":130},"Runtime stability","The skill's functionality relies on the LLM's core capabilities and standard markdown processing, with no apparent assumptions about specific OS, shell, or runtime environments.",{"category":45,"check":132,"severity":29,"summary":133},"Precise Purpose","The skill's purpose and use cases are precisely defined, including triggers and explicit boundaries, in the description and 'When to Use This Skill' section.",{"category":45,"check":135,"severity":29,"summary":136},"Concise Frontmatter","The frontmatter is concise and self-contained, accurately summarizing the core capability and providing clear trigger phrases within the character limit.",{"category":49,"check":138,"severity":29,"summary":139},"Concise Body","The skill body is well-structured and under 500 lines, with detailed procedures and templates presented clearly and deferring bulk material appropriately.",{"category":141,"check":142,"severity":29,"summary":143},"Context","Progressive Disclosure","The skill uses progressive disclosure effectively, with detailed methodologies and output templates presented within the main SKILL.md file, avoiding excessive embedding of bulk material.",{"category":141,"check":145,"severity":51,"summary":146},"Forked exploration","This skill is not designed for deep, exploratory workflows that would require `context: fork`.",{"category":27,"check":148,"severity":29,"summary":149},"Usage examples","Sufficient examples are included, illustrating how to use the skill with various paper sources and detailing the expected structured output.",{"category":27,"check":151,"severity":29,"summary":152},"Edge cases","The skill documents failure modes such as paywalled papers and covers adaptation by paper type, providing context for limitations and handling.",{"category":108,"check":154,"severity":51,"summary":155},"Tool Fallback","This skill does not rely on external MCP servers or specific tooling beyond the LLM's capabilities.",{"category":96,"check":157,"severity":29,"summary":158},"Stack assumptions","The skill's functionality is LLM-based and does not rely on specific stack assumptions like package managers, frameworks, or OS, making it highly portable.",{"category":160,"check":161,"severity":29,"summary":162},"Safety","Halt on unexpected state","The skill's process is deterministic based on the input paper and LLM capabilities, and does not involve states that would require halting or reporting unexpected pre-conditions.",{"category":96,"check":164,"severity":29,"summary":165},"Cross-skill coupling","The skill is self-contained and does not implicitly rely on other skills being loaded. It clearly states its purpose and scope.",1778053116819,"This skill processes academic papers from URLs or PDFs to generate structured, peer-review-quality analyses. It assesses methodology, contribution, literature positioning, and provides constructive feedback, following top-tier academic venue standards.","2.0.0","3.4.0","The 'academic-paper-review' skill is exceptionally well-documented and robust. It adheres to all quality and security checks, offering a clear, well-defined utility. The only minor finding is 'GDPR' with an 'info' severity due to potential personal data submission to the LLM, which is inherent to many LLM-based skills.",98,"A high-quality, well-documented skill for comprehensive academic paper review and analysis.",[15,16,17,18,19],"global","verified",{"codeQuality":177,"collectedAt":178,"documentation":179,"maintenance":181,"security":182,"testCoverage":184},{},1778053103956,{"descriptionLength":180,"readmeSize":8},499,{},{"hasNpmPackage":183,"smitheryVerified":183},false,{"hasCi":183,"hasTests":183},{"updatedAt":186},1778053169012,{"githubOwner":188,"githubRepo":189,"locale":23,"slug":190,"type":191},"bytedance","deer-flow","academic-paper-review","skill",true,null,{"extract":195,"llm":198},{"commitSha":196,"license":197},"1336872b15c25d45ebcb7c1cf72369c2bdd53187","MIT",{"promptVersionExtension":168,"promptVersionScoring":169,"score":171,"targetMarket":174,"tier":175},{"repoId":200},"kd789sm7egx1h0t1jag6zzhcq98656wv",{"_creationTime":202,"_id":200,"identity":203,"providers":205,"workflow":235},1777995558409.9045,{"githubOwner":188,"githubRepo":189,"sourceUrl":204},"https://github.com/bytedance/deer-flow",{"discover":206,"github":209},{"sources":207},[208],"skills-sh",{"closedIssues90d":210,"forks":211,"homepage":212,"license":197,"openIssues90d":213,"pushedAt":214,"readmeSize":215,"stars":216,"topics":217},389,8629,"https://deerflow.tech",356,1778052455000,38642,65247,[218,219,220,221,222,223,224,225,226,19,227,228,229,230,231,232,233,234],"agent","agentic","agentic-framework","agentic-workflow","ai","ai-agents","deep-research","langchain","langgraph","multi-agent","nodejs","podcast","python","langmanus","typescript","harness","superagent",{"discoverAt":236,"extractAt":237,"githubAt":237,"updatedAt":237},1777995558409,1778053102364,{"anyEnrichmentAt":239,"extractAt":240,"githubAt":239,"llmAt":186,"updatedAt":186},1778053101076,1778053100136,[],[243,270,291,319,339,361],{"_creationTime":244,"_id":245,"community":246,"display":247,"identity":257,"providers":260,"relations":264,"workflow":266},1778053148350.4187,"k1780ay7627sgcf3rwrbek3g498660jd",{"reviewCount":8},{"description":248,"installMethods":249,"name":250,"sourceUrl":251,"tags":252},"Search and analyze academic literature. Find papers, understand research methodologies, and synthesize academic findings for research projects.",{},"Academic Search","https://github.com/claude-office-skills/skills/tree/HEAD/academic-search",[15,16,253,254,255,256],"papers","literature-review","citations","claude-office-skills",{"githubOwner":256,"githubRepo":258,"locale":23,"slug":259,"type":191},"skills","academic-search",{"extract":261,"llm":263},{"commitSha":262,"license":197},"9c4c7d5cd2813a8936bf2c9fdb174ea883b85a11",{"promptVersionExtension":168,"promptVersionScoring":169,"score":171,"targetMarket":174,"tier":175},{"repoId":265},"kd7fw7xbj58qc2z8whrrjptbed8659db",{"anyEnrichmentAt":267,"extractAt":268,"githubAt":267,"llmAt":269,"updatedAt":269},1778053151766,1778053148350,1778053561145,{"_creationTime":271,"_id":272,"community":273,"display":274,"identity":283,"providers":285,"relations":289,"workflow":290},1778053100136.2437,"k177cymqjd5pwcqq4tk0kek34d867am8",{"reviewCount":8},{"description":275,"installMethods":276,"name":277,"sourceUrl":278,"tags":279},"Conduct multi-round deep research on any GitHub Repo. Use when users request comprehensive analysis, timeline reconstruction, competitive analysis, or in-depth investigation of GitHub. Produces structured markdown reports with executive summaries, chronological timelines, metrics analysis, and Mermaid diagrams. Triggers on Github repository URL or open source projects.",{},"GitHub Deep Research Skill","https://github.com/bytedance/deer-flow/tree/HEAD/skills/public/github-deep-research",[280,15,18,281,282,230],"github","api","report-generation",{"githubOwner":188,"githubRepo":189,"locale":23,"slug":284,"type":191},"github-deep-research",{"extract":286,"llm":287},{"commitSha":196,"license":197},{"promptVersionExtension":168,"promptVersionScoring":169,"score":288,"targetMarket":174,"tier":175},97,{"repoId":200},{"anyEnrichmentAt":239,"extractAt":240,"githubAt":239,"llmAt":186,"updatedAt":186},{"_creationTime":292,"_id":293,"community":294,"display":295,"identity":304,"providers":308,"relations":313,"workflow":315},1778053622473.6565,"k175dk23bnmc82m0wgkc81c51s866xz1",{"reviewCount":8},{"description":296,"installMethods":297,"name":298,"sourceUrl":299,"tags":300},"Synthesize multiple media analyses into cross-source patterns and insights. Use when you need to cross-reference analyses, find patterns across sources, or perform meta-analysis of media content.",{},"Media Meta-Analysis","https://github.com/jwynia/agent-skills/tree/HEAD/skills/general/research/tools/media-meta-analysis",[15,18,301,302,303],"media","synthesis","llm-guidance",{"githubOwner":305,"githubRepo":306,"locale":23,"slug":307,"type":191},"jwynia","agent-skills","media-meta-analysis",{"extract":309,"llm":311},{"commitSha":310,"license":197},"e02ec7e226a6e4f8419fd3b88a1d8e472d421b32",{"promptVersionExtension":168,"promptVersionScoring":169,"score":312,"targetMarket":174,"tier":175},95,{"repoId":314},"kd7efn3mprpa8rd8vm5hw5ebzx864fph",{"anyEnrichmentAt":316,"extractAt":317,"githubAt":316,"llmAt":318,"updatedAt":318},1778053625386,1778053622473,1778054012696,{"_creationTime":320,"_id":321,"community":322,"display":323,"identity":332,"providers":334,"relations":337,"workflow":338},1778053622473.6584,"k1713jxcqmcxt0qc8j638d84298664ax",{"reviewCount":8},{"description":324,"installMethods":325,"name":326,"sourceUrl":327,"tags":328},"Systematically investigate social media claims and viral content. Use when fact-checking complex claims, when decomposing multi-part assertions, or when investigating narratives that mix facts with interpretation.",{},"Claim Investigation","https://github.com/jwynia/agent-skills/tree/HEAD/skills/general/research/verification/claim-investigation",[15,329,330,18,331],"verification","fact-checking","documentation",{"githubOwner":305,"githubRepo":306,"locale":23,"slug":333,"type":191},"claim-investigation",{"extract":335,"llm":336},{"commitSha":310,"license":197},{"promptVersionExtension":168,"promptVersionScoring":169,"score":312,"targetMarket":174,"tier":175},{"repoId":314},{"anyEnrichmentAt":316,"extractAt":317,"githubAt":316,"llmAt":318,"updatedAt":318},{"_creationTime":340,"_id":341,"community":342,"display":343,"identity":354,"providers":356,"relations":359,"workflow":360},1778053622473.6472,"k1718d95vd04ttrqx2vv3mwzgd866dhr",{"reviewCount":8},{"description":344,"installMethods":345,"name":346,"sourceUrl":347,"tags":348},"Parse ebooks, extract concepts and entities with citation traceability, classify by type/layer, and synthesize across book collections.",{},"Ebook Analysis","https://github.com/jwynia/agent-skills/tree/HEAD/skills/general/document-processing/analysis/ebook-analysis",[349,350,18,351,15,352,353],"ebook","parsing","knowledge-base","nlp","deno",{"githubOwner":305,"githubRepo":306,"locale":23,"slug":355,"type":191},"ebook-analysis",{"extract":357,"llm":358},{"commitSha":310,"license":197},{"promptVersionExtension":168,"promptVersionScoring":169,"score":312,"targetMarket":174,"tier":175},{"repoId":314},{"anyEnrichmentAt":316,"extractAt":317,"githubAt":316,"llmAt":318,"updatedAt":318},{"_creationTime":362,"_id":363,"community":364,"display":365,"identity":373,"providers":374,"relations":377,"workflow":378},1778053148350.4348,"k173w12kz9jfzqwqp9ewbv9mf9866w3v",{"reviewCount":8},{"description":366,"installMethods":367,"name":368,"sourceUrl":369,"tags":370},"Conduct comprehensive research on any topic. Synthesize information from multiple angles, provide structured analysis, and generate detailed research reports.",{},"Deep Research","https://github.com/claude-office-skills/skills/tree/HEAD/deep-research",[15,18,302,371,372,331],"report","investigation",{"githubOwner":256,"githubRepo":258,"locale":23,"slug":224,"type":191},{"extract":375,"llm":376},{"commitSha":262,"license":197},{"promptVersionExtension":168,"promptVersionScoring":169,"score":312,"targetMarket":174,"tier":175},{"repoId":265},{"anyEnrichmentAt":267,"extractAt":268,"githubAt":267,"llmAt":269,"updatedAt":269}]