[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-lijigang-ljg-paper-fr":3,"guides-for-lijigang-ljg-paper":258,"similar-k175y8tg80xkz5r24bwfrhv2n98669wr":259},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":20,"identity":181,"isFallback":185,"parentExtension":186,"providers":235,"relations":238,"repo":239,"workflow":257},1778053348890.7817,"k175y8tg80xkz5r24bwfrhv2n98669wr",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"Extension from lijigang/ljg-skills",{},"ljg-paper","https://github.com/lijigang/ljg-skills/tree/HEAD/skills/ljg-paper",[15,16,17,18,19],"research","paper","summarization","documentation","knowledge-extraction",{"_creationTime":21,"_id":22,"extensionId":5,"locale":23,"result":24,"trustSignals":170,"workflow":179},1778053415028.554,"kn798mbnkafvbt2rp878zf7y49866m9b","en",{"checks":25,"evaluatedAt":160,"extensionSummary":161,"promptVersionExtension":162,"promptVersionScoring":163,"rationale":164,"score":165,"summary":166,"tags":167,"targetMarket":168,"tier":169},[26,31,34,37,41,44,48,52,55,58,63,67,71,74,77,80,83,86,89,92,96,100,104,108,111,114,117,121,124,127,130,133,136,140,143,147,150,153,157],{"category":27,"check":28,"severity":29,"summary":30},"Practical Utility","Problem relevance","pass","The description clearly states the extension's purpose: to help non-academics understand research papers by extracting key ideas for personal use, focusing on comprehension rather than critique.",{"category":27,"check":32,"severity":29,"summary":33},"Unique selling proposition","The extension offers significant value beyond a simple prompt by providing a structured method to distill complex research papers into understandable insights for a non-expert audience, with clear output goals and constraints.",{"category":27,"check":35,"severity":29,"summary":36},"Production readiness","The extension defines a complete workflow from content acquisition (arXiv, PDF, web search) to structured output generation, including detailed formatting rules and an overview diagram extraction for figures, making it production-ready for its stated use case.",{"category":38,"check":39,"severity":29,"summary":40},"Scope","Single responsibility principle","The extension focuses on the single domain of processing and understanding research papers for personal use, with clear instructions on output format and content extraction, avoiding scope creep into unrelated areas.",{"category":38,"check":42,"severity":29,"summary":43},"Description quality","The description is concise, readable, and accurately reflects the extension's behavior, clearly outlining its purpose and target audience.",{"category":45,"check":46,"severity":29,"summary":47},"Invocation","Scoped tools","The extension's core functionality is encapsulated within a single, well-defined task of processing research papers, avoiding the need for multiple, narrowly scoped tools.",{"category":49,"check":50,"severity":29,"summary":51},"Documentation","Configuration & parameter reference","All configuration parameters, such as output directory and file naming conventions, are clearly documented within the SKILL.md file. The template is also explicitly referenced.",{"category":38,"check":53,"severity":29,"summary":54},"Tool naming","The primary tool name 'ljg-paper' is descriptive and adheres to kebab-case convention, matching the domain of paper processing.",{"category":38,"check":56,"severity":29,"summary":57},"Minimal I/O surface","The extension's input is primarily the research paper content (via URL, PDF, or name), and its output is a structured org-mode file with specific header and content requirements, demonstrating a minimal and well-defined I/O surface.",{"category":59,"check":60,"severity":61,"summary":62},"License","License usability","not_applicable","No license information was found in the provided repository files. This check is not applicable as no license was provided.",{"category":64,"check":65,"severity":61,"summary":66},"Maintenance","Commit recency","No commit history is available for this specific file/directory, so recency cannot be determined.",{"category":68,"check":69,"severity":61,"summary":70},"Security","Secret Management","The extension does not appear to handle any secrets, therefore no specific measures are required.",{"category":68,"check":72,"severity":29,"summary":73},"Injection","The extension focuses on processing provided text and does not load external data that could contain executable instructions. It explicitly avoids using external file structures beyond its own defined template.",{"category":68,"check":75,"severity":29,"summary":76},"Transitive Supply-Chain Grenades","The extension relies on fetching content from provided URLs or local files but does not execute any remote code or download scripts. All content processing is handled internally.",{"category":68,"check":78,"severity":29,"summary":79},"Sandbox Isolation","The extension's operations are confined to processing input text and generating an output file in a specified directory. It does not modify files outside of its designated output path.",{"category":68,"check":81,"severity":29,"summary":82},"Sandbox escape primitives","The extension's script does not contain any detached-process spawns or retry loops around denied tool calls, adhering to sandbox isolation.",{"category":68,"check":84,"severity":29,"summary":85},"Data Exfiltration","The extension processes provided paper content and does not make any outbound calls to external services for telemetry or data submission. All operations are local.",{"category":68,"check":87,"severity":29,"summary":88},"Hidden Text Tricks","The bundled files do not contain any hidden text tricks, HTML comments, or invisible Unicode characters intended to steer the model.",{"category":68,"check":90,"severity":29,"summary":91},"Opaque code execution","The extension's logic is contained within the SKILL.md file and is not obfuscated. It does not use base64 payloads, eval, or runtime script fetching.",{"category":93,"check":94,"severity":29,"summary":95},"Portability","Structural Assumption","The extension specifies the output directory structure and file naming conventions, but allows for user configuration of the output path, avoiding rigid structural assumptions.",{"category":97,"check":98,"severity":61,"summary":99},"Trust","Issues Attention","No issue data is available from the provided trust signals.",{"category":101,"check":102,"severity":29,"summary":103},"Versioning","Release Management","The SKILL.md frontmatter includes a 'version: \"4.9.0\"' field, indicating a managed release version.",{"category":105,"check":106,"severity":29,"summary":107},"Code Execution","Validation","While not using a formal schema library, the extension strictly adheres to defined output formats (Org-mode syntax, ASCII art) and file naming conventions, effectively validating its output.",{"category":68,"check":109,"severity":29,"summary":110},"Unguarded Destructive Operations","The extension is read-only in terms of processing input and generating output files; it does not perform any destructive operations.",{"category":105,"check":112,"severity":29,"summary":113},"Error Handling","The extension's instructions are clear on how to handle input (e.g., different paper formats) and what to do if certain conditions are not met (e.g., using the specified template), implying a fail-closed behavior if inputs deviate significantly.",{"category":105,"check":115,"severity":61,"summary":116},"Logging","The extension is read-only and does not perform destructive actions or outbound calls, so structured logging is not applicable.",{"category":118,"check":119,"severity":29,"summary":120},"Compliance","GDPR","The extension processes research paper content, which is unlikely to contain personal data. It does not submit any data to third parties.",{"category":118,"check":122,"severity":29,"summary":123},"Target market","The extension is designed for processing research papers and extracting ideas, which is a globally applicable task. No regional or jurisdictional signals were detected.",{"category":93,"check":125,"severity":29,"summary":126},"Runtime stability","The extension's instructions and formatting are primarily text-based and rely on standard file operations, making it broadly compatible across different operating systems and shells.",{"category":45,"check":128,"severity":29,"summary":129},"Precise Purpose","The description clearly states the extension's purpose: to extract ideas from research papers for personal use by non-academics. It specifies when to use it (arxiv link, PDF, etc.) and lists trigger words.",{"category":45,"check":131,"severity":29,"summary":132},"Concise Frontmatter","The frontmatter is concise and effectively summarizes the extension's core capability and target audience within the character limit.",{"category":49,"check":134,"severity":29,"summary":135},"Concise Body","The SKILL.md body is well-structured and delegates detailed formatting rules to a referenced template file, keeping the main body concise.",{"category":137,"check":138,"severity":29,"summary":139},"Context","Progressive Disclosure","Detailed formatting rules are referenced in `references/template.org`, and the main SKILL.md outlines the overall process, demonstrating progressive disclosure.",{"category":137,"check":141,"severity":61,"summary":142},"Forked exploration","The extension performs a focused task of paper processing and output generation; it does not involve deep code review or extensive exploration that would require forking.",{"category":27,"check":144,"severity":145,"summary":146},"Usage examples","info","While the SKILL.md details the output format and structure, explicit end-to-end examples demonstrating input, invocation, and observable outcome are not provided.",{"category":27,"check":148,"severity":145,"summary":149},"Edge cases","The SKILL.md discusses handling different input types (URL, PDF, name) and mentions template adherence but does not explicitly list specific failure modes or recovery steps.",{"category":105,"check":151,"severity":61,"summary":152},"Tool Fallback","The extension does not rely on external tools like MCP servers and uses internal logic for processing, thus fallback is not applicable.",{"category":154,"check":155,"severity":29,"summary":156},"Safety","Halt on unexpected state","The instructions imply that if input does not conform to expectations (e.g., wrong template, malformed content), the process will not proceed as intended, suggesting a fail-closed behavior.",{"category":93,"check":158,"severity":29,"summary":159},"Cross-skill coupling","The extension is self-contained and focuses on processing research papers; it does not implicitly rely on other skills and has no explicit cross-skill dependencies mentioned.",1778053374480,"This skill takes research papers via URL, PDF, or name and distills their core ideas, methodology, and discoveries into an org-mode document. It focuses on making complex academic content accessible and personally useful for a non-expert audience.","2.0.0","3.4.0","The extension demonstrates strong adherence to best practices across documentation, scope, security, and portability. Notable strengths include a clear problem statement, precise purpose, well-defined I/O, and adherence to progressive disclosure. Minor areas for improvement are the lack of explicit end-to-end usage examples and detailed edge case documentation.",92,"This extension effectively processes research papers for non-academics, extracting key ideas and insights into a structured format.",[15,16,17,18,19],"global","verified",{"codeQuality":171,"collectedAt":172,"documentation":173,"maintenance":175,"security":176,"testCoverage":178},{},1778053362145,{"descriptionLength":174,"readmeSize":8},34,{},{"hasNpmPackage":177,"smitheryVerified":177},false,{"hasCi":177,"hasTests":177},{"updatedAt":180},1778053415028,{"githubOwner":182,"githubRepo":183,"locale":23,"slug":12,"type":184},"lijigang","ljg-skills","skill",true,{"_creationTime":187,"_id":188,"community":189,"display":190,"identity":202,"parentExtension":204,"providers":229,"relations":233,"workflow":234},1778053348890.7798,"k1704g81mbxzdxt81951f8s6g1866ry3",{"reviewCount":8},{"description":191,"installMethods":192,"name":193,"sourceUrl":194,"tags":195},"LJG's personal Claude Code skills collection",{},"LJG Skills Collection","https://github.com/lijigang/ljg-skills",[196,197,198,15,18,199,200,201],"skills","content-creation","writing","visualization","productivity","academic",{"githubOwner":182,"githubRepo":183,"locale":23,"slug":183,"type":203},"plugin",{"_creationTime":205,"_id":206,"community":207,"display":208,"identity":212,"providers":214,"relations":224,"workflow":226},1778053348890.7793,"k17axkces4ykqysd5mgcmajr89867sm1",{"reviewCount":8},{"description":209,"installMethods":210,"name":193,"sourceUrl":194,"tags":211},"Personal Claude Code skills collection for paper reading, content casting, and writing workflows",{},[196,197,15,198,200],{"githubOwner":182,"githubRepo":183,"locale":23,"slug":183,"type":213},"marketplace",{"extract":215,"llm":221},{"commitSha":216,"license":217,"marketplace":218},"d2d6a0313baaeee789d00aa5c3841d4622147f23","MIT",{"name":183,"pluginCount":219,"version":220},1,"1.17.15",{"promptVersionExtension":162,"promptVersionScoring":163,"score":222,"targetMarket":168,"tier":223},88,"flagged",{"repoId":225},"kd71hhp7w2dcgt37rznesw08cx864k8w",{"anyEnrichmentAt":227,"extractAt":228,"githubAt":227,"llmAt":180,"updatedAt":180},1778053349620,1778053348890,{"extract":230,"llm":231},{"commitSha":216,"license":217},{"promptVersionExtension":162,"promptVersionScoring":163,"score":232,"targetMarket":168,"tier":169},90,{"parentExtensionId":206,"repoId":225},{"anyEnrichmentAt":227,"extractAt":228,"githubAt":227,"llmAt":180,"updatedAt":180},{"extract":236,"llm":237},{"commitSha":216,"license":61},{"promptVersionExtension":162,"promptVersionScoring":163,"score":165,"targetMarket":168,"tier":169},{"parentExtensionId":188,"repoId":225},{"_creationTime":240,"_id":225,"identity":241,"providers":242,"workflow":254},1777995558409.893,{"githubOwner":182,"githubRepo":183,"sourceUrl":194},{"discover":243,"github":246},{"sources":244},[245],"skills-sh",{"closedIssues90d":247,"forks":248,"openIssues90d":249,"pushedAt":250,"readmeSize":251,"stars":252,"topics":253},5,458,2,1777870782000,4594,3935,[],{"discoverAt":255,"extractAt":256,"githubAt":256,"updatedAt":256},1777995558409,1778053350730,{"anyEnrichmentAt":227,"extractAt":228,"githubAt":227,"llmAt":180,"updatedAt":180},[],[260,288,305,326,347,366],{"_creationTime":261,"_id":262,"community":263,"display":264,"identity":273,"providers":277,"relations":282,"workflow":284},1778053622473.659,"k175v48mt9fzh8r2mm6ra7m5gs867jav",{"reviewCount":8},{"description":265,"installMethods":266,"name":267,"sourceUrl":268,"tags":269},"Verify claims in generated output against sources. Use as a separate pass AFTER content generation to catch hallucinations. Critical constraint - cannot be reliably combined with generation in a single pass.",{},"Fact-Check Skill","https://github.com/jwynia/agent-skills/tree/HEAD/skills/general/research/verification/fact-check",[270,15,271,18,272],"verification","hallucination","safety",{"githubOwner":274,"githubRepo":275,"locale":23,"slug":276,"type":184},"jwynia","agent-skills","fact-check",{"extract":278,"llm":280},{"commitSha":279,"license":217},"e02ec7e226a6e4f8419fd3b88a1d8e472d421b32",{"promptVersionExtension":162,"promptVersionScoring":163,"score":281,"targetMarket":168,"tier":169},98,{"repoId":283},"kd7efn3mprpa8rd8vm5hw5ebzx864fph",{"anyEnrichmentAt":285,"extractAt":286,"githubAt":285,"llmAt":287,"updatedAt":287},1778053625386,1778053622473,1778054012696,{"_creationTime":289,"_id":290,"community":291,"display":292,"identity":299,"providers":300,"relations":303,"workflow":304},1778053622473.661,"k17bjq5477qz3ff878vxz3gc4d8667dn",{"reviewCount":8},{"description":293,"installMethods":294,"name":295,"sourceUrl":296,"tags":297},"Create effective summaries by matching summarization type to purpose, audience, and context. Use when asked to summarize, create TLDR, condense content, or create executive summaries. Keywords: summary, TLDR, condense, executive summary, abstract.",{},"Summarization","https://github.com/jwynia/agent-skills/tree/HEAD/skills/general/writing/revision/summarization",[198,17,18,298],"text-processing",{"githubOwner":274,"githubRepo":275,"locale":23,"slug":17,"type":184},{"extract":301,"llm":302},{"commitSha":279,"license":217},{"promptVersionExtension":162,"promptVersionScoring":163,"score":281,"targetMarket":168,"tier":169},{"repoId":283},{"anyEnrichmentAt":285,"extractAt":286,"githubAt":285,"llmAt":287,"updatedAt":287},{"_creationTime":306,"_id":307,"community":308,"display":309,"identity":318,"providers":320,"relations":324,"workflow":325},1778053622473.6594,"k171jc4epkmqq2y76n42e3eg0s866rf8",{"reviewCount":8},{"description":310,"installMethods":311,"name":312,"sourceUrl":313,"tags":314},"Systematically identify what's missing in non-fiction writing—both blind spots (inherent limitations) and blank spots (gaps that could be addressed). Use before finalizing non-fiction or when feedback feels incomplete.",{},"Blind Spot Detective","https://github.com/jwynia/agent-skills/tree/HEAD/skills/general/writing/analysis/blind-spot-detective",[198,315,316,317,18],"analysis","non-fiction","diagnostic",{"githubOwner":274,"githubRepo":275,"locale":23,"slug":319,"type":184},"blind-spot-detective",{"extract":321,"llm":322},{"commitSha":279,"license":217},{"promptVersionExtension":162,"promptVersionScoring":163,"score":323,"targetMarket":168,"tier":169},99,{"repoId":283},{"anyEnrichmentAt":285,"extractAt":286,"githubAt":285,"llmAt":287,"updatedAt":287},{"_creationTime":327,"_id":328,"community":329,"display":330,"identity":340,"providers":342,"relations":345,"workflow":346},1778053622473.657,"k174yf2vmxnqbd8n7fv5mxvw3n866tzc",{"reviewCount":8},{"description":331,"installMethods":332,"name":333,"sourceUrl":334,"tags":335},"Search the web using the agent's built-in WebSearch tool. Use when you need to find current information, verify facts, or research topics. No API key required. Keywords: search, web, internet, lookup, find, research, current events, facts.",{},"Web Search","https://github.com/jwynia/agent-skills/tree/HEAD/skills/general/research/tools/web-search",[336,337,15,338,339],"search","web","information-retrieval","utility",{"githubOwner":274,"githubRepo":275,"locale":23,"slug":341,"type":184},"web-search",{"extract":343,"llm":344},{"commitSha":279,"license":217},{"promptVersionExtension":162,"promptVersionScoring":163,"score":281,"targetMarket":168,"tier":169},{"repoId":283},{"anyEnrichmentAt":285,"extractAt":286,"githubAt":285,"llmAt":287,"updatedAt":287},{"_creationTime":348,"_id":349,"community":350,"display":351,"identity":359,"providers":361,"relations":364,"workflow":365},1778053622473.6575,"k179xp8x1d5vrwv3r4m931ed458660q4",{"reviewCount":8},{"description":352,"installMethods":353,"name":354,"sourceUrl":355,"tags":356},"Search the web using Brave Search API for fast, privacy-respecting results with localization, freshness filtering, and extra snippets. Use when you need web search results with country/language targeting or time-based filtering. Requires BRAVE_API_KEY. Keywords: brave, web search, localized search, privacy search, freshness filtering.",{},"Web Search (Brave Search API)","https://github.com/jwynia/agent-skills/tree/HEAD/skills/general/research/tools/web-search-brave",[341,357,15,358],"brave-search","api",{"githubOwner":274,"githubRepo":275,"locale":23,"slug":360,"type":184},"web-search-brave",{"extract":362,"llm":363},{"commitSha":279,"license":217},{"promptVersionExtension":162,"promptVersionScoring":163,"score":281,"targetMarket":168,"tier":169},{"repoId":283},{"anyEnrichmentAt":285,"extractAt":286,"githubAt":285,"llmAt":287,"updatedAt":287},{"_creationTime":367,"_id":368,"community":369,"display":370,"identity":381,"providers":385,"relations":393,"workflow":395},1778053968286.4954,"k179afn14fzy4sejmjf82fgqa9867ck6",{"reviewCount":8},{"description":371,"installMethods":372,"name":373,"sourceUrl":374,"tags":375},"Searches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic. Use when the user asks to find research papers, search arXiv, look up preprints, find academic articles in physics, math, CS, biology, statistics, or related fields.",{},"arXiv Search","https://github.com/langchain-ai/deepagents/tree/HEAD/libs/cli/examples/skills/arxiv-search",[15,376,377,378,379,380],"data-analytics","arxiv","academic-papers","python","cli",{"githubOwner":382,"githubRepo":383,"locale":23,"slug":384,"type":184},"langchain-ai","deepagents","arxiv-search",{"extract":386,"llm":388,"smithery":389},{"commitSha":387,"license":217},"b108c71d0c570e16c7050c1eac482e15dc35a5ed",{"promptVersionExtension":162,"promptVersionScoring":163,"score":281,"targetMarket":168,"tier":169},{"qualityScore":390,"totalActivations":391,"uniqueUsers":392,"useCount":8,"verified":177},0.7439563,9,8,{"repoId":394},"kd76dna2fvfbnjvzcpd2cwqnyd865xz7",{"anyEnrichmentAt":396,"extractAt":397,"githubAt":398,"llmAt":399,"smitheryAt":396,"updatedAt":399},1778053994907,1778053968286,1778053969344,1778054053159]