[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-dontbesilent2025-dbs-xhs-title-pl":3,"guides-for-dontbesilent2025-dbs-xhs-title":273,"similar-k179rggs1pfz859e1n2gc4x1gn866167":274},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":21,"identity":190,"isFallback":195,"parentExtension":196,"providers":248,"relations":252,"repo":253,"workflow":272},1778053172687.5198,"k179rggs1pfz859e1n2gc4x1gn866167",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"小红书标题公式工具。从 75 个验证过的爆款公式中，帮你挑对的、用对的、理解为什么用这个。 触发方式：/dbs-xhs-title、/小红书标题、「帮我起个小红书标题」「小红书标题公式」 Xiaohongshu title formula tool. Pick the right formula from 75 proven templates. Trigger: /dbs-xhs-title, \"xiaohongshu title\", \"RED title formula\"",{},"dbs-xhs-title：小红书标题公式工具","https://github.com/dontbesilent2025/dbskill/tree/HEAD/skills/dbs-xhs-title",[15,16,17,18,19,20],"xiaohongshu","title","marketing","content-generation","formulas","chinese",{"_creationTime":22,"_id":23,"extensionId":5,"locale":24,"result":25,"trustSignals":179,"workflow":188},1778053288253.0654,"kn7agmy1g0bsnq0k30cdf65k29867qg7","en",{"checks":26,"evaluatedAt":169,"extensionSummary":170,"promptVersionExtension":171,"promptVersionScoring":172,"rationale":173,"score":174,"summary":175,"tags":176,"targetMarket":177,"tier":178},[27,32,35,38,42,45,49,54,57,60,65,69,72,76,79,82,85,88,91,94,97,101,105,110,114,117,120,123,128,131,134,137,140,143,147,150,153,156,159,162,166],{"category":28,"check":29,"severity":30,"summary":31},"Practical Utility","Problem relevance","pass","The description clearly identifies a specific user problem: needing help with Xiaohongshu (RED) title formulas and understanding why certain formulas work.",{"category":28,"check":33,"severity":30,"summary":34},"Unique selling proposition","The extension's unique value lies in its curated list of 75 proven Xiaohongshu title formulas, its ability to match formulas to user-provided topics and industries, and its explanation of why specific formulas are chosen, going beyond generic title generation.",{"category":28,"check":36,"severity":30,"summary":37},"Production readiness","The skill is production-ready, offering a complete workflow for matching users to title formulas, generating customized titles, and providing explanations. It covers the full lifecycle from input understanding to output generation.",{"category":39,"check":40,"severity":30,"summary":41},"Scope","Single responsibility principle","The extension has a clear and single responsibility: to act as a Xiaohongshu title formula tool, matching users with appropriate formulas and generating titles based on them. It does not extend into unrelated domains.",{"category":39,"check":43,"severity":30,"summary":44},"Description quality","The displayed description is concise, accurate, and effectively communicates the tool's purpose and trigger phrases in both Chinese and English.",{"category":46,"check":47,"severity":30,"summary":48},"Invocation","Scoped tools","The skill uses a single, well-defined conversational interface rather than specific command-line tools, with clear trigger phrases for invocation.",{"category":50,"check":51,"severity":52,"summary":53},"Documentation","Configuration & parameter reference","not_applicable","This skill does not appear to have explicit user-configurable parameters or environment variables that require documentation.",{"category":39,"check":55,"severity":30,"summary":56},"Tool naming","The skill is invoked via trigger phrases and commands like `/dbs-xhs-title`, which are descriptive and easy to understand within its domain.",{"category":39,"check":58,"severity":30,"summary":59},"Minimal I/O surface","The skill interacts with the user through natural language input and provides structured Markdown output, requesting only necessary information and returning relevant title suggestions and explanations.",{"category":61,"check":62,"severity":63,"summary":64},"License","License usability","critical","The extension uses the Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license, which includes a non-commercial restriction, making it unusable for commercial purposes without separate authorization.",{"category":66,"check":67,"severity":52,"summary":68},"Maintenance","Commit recency","No commit history is available for this skill, making it impossible to assess recency.",{"category":66,"check":70,"severity":52,"summary":71},"Dependency Management","This skill does not appear to have external dependencies.",{"category":73,"check":74,"severity":52,"summary":75},"Security","Secret Management","The skill does not handle or expose any secrets.",{"category":73,"check":77,"severity":30,"summary":78},"Injection","The skill processes user input as natural language for topic and industry matching and generates structured output, with no indication of loading or executing untrusted third-party data as instructions.",{"category":73,"check":80,"severity":30,"summary":81},"Transitive Supply-Chain Grenades","All content and logic appear to be contained within the skill bundle, with no runtime downloads or execution of external scripts.",{"category":73,"check":83,"severity":30,"summary":84},"Sandbox Isolation","The skill operates within the conversational context and does not interact with the file system or external resources in a way that could compromise sandbox isolation.",{"category":73,"check":86,"severity":30,"summary":87},"Sandbox escape primitives","There are no indications of detached processes or retry loops around denied tool calls within the skill's logic.",{"category":73,"check":89,"severity":30,"summary":90},"Data Exfiltration","The skill processes user input and generates suggestions based on its internal formula library without making any outbound calls or referencing confidential data.",{"category":73,"check":92,"severity":30,"summary":93},"Hidden Text Tricks","The bundled content appears to be clean, free of hidden steering tricks, and uses standard printable characters.",{"category":73,"check":95,"severity":30,"summary":96},"Opaque code execution","The skill's logic is presented in readable Markdown and appears to be directly interpretable by the LLM, with no signs of obfuscation, base64 payloads, or runtime script fetching.",{"category":98,"check":99,"severity":30,"summary":100},"Portability","Structural Assumption","The skill's logic is based on conversational input and a predefined formula library, making no assumptions about the user's project structure or file layout.",{"category":102,"check":103,"severity":52,"summary":104},"Trust","Issues Attention","No GitHub issues data is available for this skill.",{"category":106,"check":107,"severity":108,"summary":109},"Versioning","Release Management","warning","There is no clear versioning signal (e.g., manifest version, release tags, CHANGELOG) for this skill. The README mentions v2.8.0 but this is not tied to the skill itself.",{"category":111,"check":112,"severity":30,"summary":113},"Code Execution","Validation","Input is handled as natural language, and the skill's logic is based on matching this input to its internal library, implying validation through pattern matching rather than explicit schema.",{"category":73,"check":115,"severity":52,"summary":116},"Unguarded Destructive Operations","The skill is purely advisory and does not perform any destructive operations.",{"category":111,"check":118,"severity":30,"summary":119},"Error Handling","The skill's conversational nature implies robust error handling through natural language responses if inputs cannot be processed or matched.",{"category":111,"check":121,"severity":52,"summary":122},"Logging","The skill operates in a conversational context and does not require local audit logging.",{"category":124,"check":125,"severity":126,"summary":127},"Compliance","GDPR","info","While the skill does not explicitly handle personal data, its reliance on user-provided topics and industries means personal data could be submitted to the LLM. However, it does not submit data to third parties or retain it.",{"category":124,"check":129,"severity":30,"summary":130},"Target market","The skill is designed for Xiaohongshu (RED) and uses Chinese language prompts, but its core functionality of matching title formulas is globally applicable. The targetMarket is set to global.",{"category":98,"check":132,"severity":30,"summary":133},"Runtime stability","The skill is designed to run in a standard conversational AI environment and does not make assumptions about specific shells, operating systems, or runtimes.",{"category":46,"check":135,"severity":30,"summary":136},"Precise Purpose","The skill clearly defines its purpose as a Xiaohongshu title formula tool, specifies its core value proposition (formula matching and explanation), and lists its trigger phrases.",{"category":46,"check":138,"severity":30,"summary":139},"Concise Frontmatter","The frontmatter is concise and effectively summarizes the skill's core capability and trigger phrases.",{"category":50,"check":141,"severity":30,"summary":142},"Concise Body","The skill body is well-structured and under 500 lines, delegating the detailed formula library to the end of the document, adhering to progressive disclosure.",{"category":144,"check":145,"severity":30,"summary":146},"Context","Progressive Disclosure","The detailed formula library is included at the end of the main SKILL.md file, which is a reasonable length and keeps the core instructions concise.",{"category":144,"check":148,"severity":52,"summary":149},"Forked exploration","This skill is conversational and does not involve deep exploration of code or documents that would require forked context.",{"category":28,"check":151,"severity":30,"summary":152},"Usage examples","The skill provides clear examples for each formula type within the formula library, demonstrating how to apply them and their potential impact.",{"category":28,"check":154,"severity":30,"summary":155},"Edge cases","The skill handles various user input scenarios (topic only, industry + topic, content, existing title) and provides specific guidance on how to proceed when information is missing.",{"category":111,"check":157,"severity":52,"summary":158},"Tool Fallback","This skill does not rely on external tools like an MCP server and operates within the LLM's environment.",{"category":98,"check":160,"severity":30,"summary":161},"Stack assumptions","The skill operates in a conversational context and has no specific stack assumptions beyond the LLM environment it runs in.",{"category":163,"check":164,"severity":30,"summary":165},"Safety","Halt on unexpected state","The skill is designed to handle missing information gracefully by asking clarifying questions, effectively halting the workflow until valid input is provided.",{"category":98,"check":167,"severity":30,"summary":168},"Cross-skill coupling","The skill is self-contained and does not implicitly rely on other skills. It clearly outlines its purpose and does not attempt to handle tasks outside its defined scope.",1778053208453,"This skill acts as a formula-matching engine for Xiaohongshu titles, helping users select and understand the best formulas for their specific topics and industries. It generates customized titles and provides context on why a particular formula is recommended, drawing from a curated list of 75 templates.","2.0.0","3.4.0","The skill is flagged due to its CC BY-NC 4.0 license, which prohibits commercial use. Although it offers a well-structured and useful set of tools for Xiaohongshu title generation, the license is a critical blocker for many users.",45,"A specialized tool for generating Xiaohongshu (RED) titles using a library of 75 proven formula templates, offering explanations for each choice.",[15,16,17,18,19,20],"global","flagged",{"codeQuality":180,"collectedAt":181,"documentation":182,"maintenance":184,"security":185,"testCoverage":187},{},1778053196983,{"descriptionLength":183,"readmeSize":8},240,{},{"hasNpmPackage":186,"smitheryVerified":186},false,{"hasCi":186,"hasTests":186},{"updatedAt":189},1778053288253,{"githubOwner":191,"githubRepo":192,"locale":24,"slug":193,"type":194},"dontbesilent2025","dbskill","dbs-xhs-title","skill",true,{"_creationTime":197,"_id":198,"community":199,"display":200,"identity":208,"parentExtension":210,"providers":242,"relations":246,"workflow":247},1778053172687.5193,"k177c3edv8ej01p8rcnq6qa129867qte",{"reviewCount":8},{"description":201,"installMethods":202,"name":192,"sourceUrl":203,"tags":204},"小红书标题公式工具。从 75 个验证过的爆款公式中，帮你挑对的、用对的、理解为什么用这个。",{},"https://github.com/dontbesilent2025/dbskill",[15,205,206,207,20],"title-generator","social-media","content-creation",{"githubOwner":191,"githubRepo":192,"locale":24,"slug":193,"type":209},"plugin",{"_creationTime":211,"_id":212,"community":213,"display":214,"identity":224,"providers":227,"relations":237,"workflow":239},1778053172687.513,"k177pj7y8n3bt1g3qss80tbs85866zne",{"reviewCount":8},{"description":215,"installMethods":216,"name":217,"sourceUrl":203,"tags":218},"dontbesilent 商业诊断工具箱 — 从 12,307 条推文中提炼方法论，做成 17 个 Claude Code skill",{},"dontbesilent Business Diagnostic Toolkit",[219,207,220,221,20,222,223],"business-diagnostics","workflow","tool","ai-assistant","consulting",{"githubOwner":191,"githubRepo":192,"locale":24,"slug":225,"type":226},"dontbesilent-skills","marketplace",{"extract":228,"llm":234},{"commitSha":229,"license":230,"marketplace":231},"82ad0b438a95e6a350ff26febbcfd0d309feb134","CC BY-NC 4.0",{"name":225,"pluginCount":232,"version":233},17,"2.8.0",{"promptVersionExtension":171,"promptVersionScoring":172,"score":235,"targetMarket":177,"tier":236},75,"evaluated",{"repoId":238},"kd79vvh7s9ep69hsn7agrem6s1864j2b",{"anyEnrichmentAt":240,"extractAt":241,"githubAt":240,"llmAt":189,"updatedAt":189},1778053174293,1778053172687,{"extract":243,"llm":244},{"commitSha":229,"license":230},{"promptVersionExtension":171,"promptVersionScoring":172,"score":245,"targetMarket":20,"tier":178},25,{"parentExtensionId":212,"repoId":238},{"anyEnrichmentAt":240,"extractAt":241,"githubAt":240,"llmAt":189,"updatedAt":189},{"extract":249,"llm":251},{"commitSha":229,"license":250},"CC-BY-NC-4.0",{"promptVersionExtension":171,"promptVersionScoring":172,"score":174,"targetMarket":177,"tier":178},{"parentExtensionId":198,"repoId":238},{"_creationTime":254,"_id":238,"identity":255,"providers":256,"workflow":269},1777995558409.854,{"githubOwner":191,"githubRepo":192,"sourceUrl":203},{"discover":257,"github":260},{"sources":258},[259],"skills-sh",{"closedIssues90d":261,"forks":262,"license":263,"openIssues90d":264,"pushedAt":265,"readmeSize":266,"stars":267,"topics":268},2,597,"NOASSERTION",5,1777975009000,11370,4243,[],{"discoverAt":270,"extractAt":271,"githubAt":271,"updatedAt":271},1777995558409,1778053176182,{"anyEnrichmentAt":240,"extractAt":241,"githubAt":240,"llmAt":189,"updatedAt":189},[],[275,307,334,354,381,403],{"_creationTime":276,"_id":277,"community":278,"display":279,"identity":290,"providers":294,"relations":301,"workflow":303},1778054663200.0623,"k1787qemz1vae1jy4xsx7c2zyn867dwd",{"reviewCount":8},{"description":280,"installMethods":281,"name":282,"sourceUrl":283,"tags":284},"Maps the full customer journey from first touch to advocacy. Generates a comprehensive customer-journey.md with all stages, touchpoints, emotions, pain points, opportunities, Mermaid diagrams, and metrics. Use when mapping customer experience, designing onboarding flows, identifying churn risks, or optimizing conversion funnels.",{},"Customer Journey Mapper","https://github.com/onewave-ai/claude-skills/tree/HEAD/customer-journey-mapper",[285,286,287,17,288,289],"customer-experience","journey-mapping","strategy","documentation","reporting",{"githubOwner":291,"githubRepo":292,"locale":24,"slug":293,"type":194},"onewave-ai","claude-skills","customer-journey-mapper",{"extract":295,"llm":298},{"commitSha":296,"license":297},"eb3d80be32b6cafcf0d5df1c1b8a95df75838271","MIT",{"promptVersionExtension":171,"promptVersionScoring":172,"score":299,"targetMarket":177,"tier":300},98,"verified",{"repoId":302},"kd71e43dj0b7ak5e55pyshxp4n864t6p",{"anyEnrichmentAt":304,"extractAt":305,"githubAt":304,"llmAt":306,"updatedAt":306},1778054667983,1778054663200,1778055270278,{"_creationTime":308,"_id":309,"community":310,"display":311,"identity":320,"providers":324,"relations":328,"workflow":330},1778054123074.2559,"k171bg90a9mh96w2p4em6tn7zh8676as",{"reviewCount":8},{"description":312,"installMethods":313,"name":314,"sourceUrl":315,"tags":316},"Optimize content for AI search engines — ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews. Use when the user asks about AI SEO, AISO, getting cited by AI, appearing in AI answers, answer engine optimization, AEO, GEO, LLMO, AI Overviews, zero-click search, or how to appear in ChatGPT/Perplexity results. For traditional SEO, see diagnose-seo.",{},"Optimize for AI","https://github.com/calm-north/seojuice-skills/tree/HEAD/skills/optimize-for-ai",[317,318,319,17,288],"seo","ai","content-optimization",{"githubOwner":321,"githubRepo":322,"locale":24,"slug":323,"type":194},"calm-north","seojuice-skills","optimize-for-ai",{"extract":325,"llm":327},{"commitSha":326,"license":297},"c1f633bea512365ba04477076369e418ecc82ffd",{"promptVersionExtension":171,"promptVersionScoring":172,"score":299,"targetMarket":177,"tier":300},{"repoId":329},"kd77p09fwtcsr2sfmxw6921ek1864v0a",{"anyEnrichmentAt":331,"extractAt":332,"githubAt":331,"llmAt":333,"updatedAt":333},1778054123513,1778054123074,1778054162250,{"_creationTime":335,"_id":336,"community":337,"display":338,"identity":347,"providers":349,"relations":352,"workflow":353},1778054123074.2544,"k172pgwpkswfgmfgyvc8pzzrfn866ea6",{"reviewCount":8},{"description":339,"installMethods":340,"name":341,"sourceUrl":342,"tags":343},"Build a prioritized keyword list for a website, topic, or campaign. Use when the user asks about keyword research, finding keywords to target, building a keyword list, search demand, keyword difficulty, intent mapping, or which keywords to prioritize. For writing content around keywords, see brief. For grouping keywords into clusters, see build-clusters.",{},"Find Keywords","https://github.com/calm-north/seojuice-skills/tree/HEAD/skills/find-keywords",[317,344,345,17,346],"keyword-research","content-strategy","seo-tools",{"githubOwner":321,"githubRepo":322,"locale":24,"slug":348,"type":194},"find-keywords",{"extract":350,"llm":351},{"commitSha":326,"license":297},{"promptVersionExtension":171,"promptVersionScoring":172,"score":299,"targetMarket":177,"tier":300},{"repoId":329},{"anyEnrichmentAt":331,"extractAt":332,"githubAt":331,"llmAt":333,"updatedAt":333},{"_creationTime":355,"_id":356,"community":357,"display":358,"identity":367,"providers":371,"relations":375,"workflow":377},1778053148350.4714,"k17bf7x1rt5k8v06gn11f93wqh866gc4",{"reviewCount":8},{"description":359,"installMethods":360,"name":361,"sourceUrl":362,"tags":363},"SEO strategy and optimization - keyword research, on-page SEO, technical audits, content optimization, and rank tracking",{},"SEO Optimizer","https://github.com/claude-office-skills/skills/tree/HEAD/seo-optimizer",[317,364,319,365,366,17,288],"keywords","search","organic-traffic",{"githubOwner":368,"githubRepo":369,"locale":24,"slug":370,"type":194},"claude-office-skills","skills","seo-optimizer",{"extract":372,"llm":374},{"commitSha":373,"license":297},"9c4c7d5cd2813a8936bf2c9fdb174ea883b85a11",{"promptVersionExtension":171,"promptVersionScoring":172,"score":299,"targetMarket":177,"tier":300},{"repoId":376},"kd7fw7xbj58qc2z8whrrjptbed8659db",{"anyEnrichmentAt":378,"extractAt":379,"githubAt":378,"llmAt":380,"updatedAt":380},1778053151766,1778053148350,1778053561145,{"_creationTime":382,"_id":383,"community":384,"display":385,"identity":396,"providers":398,"relations":401,"workflow":402},1778053148350.4426,"k17b6hmh6m4wn9pt1ebcdkd2ys866xwb",{"reviewCount":8},{"description":386,"installMethods":387,"name":388,"sourceUrl":389,"tags":390},"Automate Facebook and Instagram advertising campaigns, audience targeting, and performance optimization",{},"Facebook/Meta Ads","https://github.com/claude-office-skills/skills/tree/HEAD/facebook-ads",[391,392,393,17,394,395],"facebook","instagram","ads","advertising","mcp",{"githubOwner":368,"githubRepo":369,"locale":24,"slug":397,"type":194},"facebook-meta-ads",{"extract":399,"llm":400},{"commitSha":373,"license":297},{"promptVersionExtension":171,"promptVersionScoring":172,"score":299,"targetMarket":177,"tier":300},{"repoId":376},{"anyEnrichmentAt":378,"extractAt":379,"githubAt":378,"llmAt":380,"updatedAt":380},{"_creationTime":404,"_id":405,"community":406,"display":407,"identity":417,"providers":419,"relations":422,"workflow":423},1778053148350.424,"k1701y7tyxk3gf2fdmj4q8bdsd866r2f",{"reviewCount":8},{"description":408,"installMethods":409,"name":410,"sourceUrl":411,"tags":412},"Create and maintain brand style guides for consistent visual identity",{},"Brand Guidelines Generator","https://github.com/claude-office-skills/skills/tree/HEAD/brand-guidelines",[413,414,415,416,17,395,288],"brand","guidelines","style","design",{"githubOwner":368,"githubRepo":369,"locale":24,"slug":418,"type":194},"brand-guidelines-generator",{"extract":420,"llm":421},{"commitSha":373,"license":297},{"promptVersionExtension":171,"promptVersionScoring":172,"score":299,"targetMarket":177,"tier":300},{"repoId":376},{"anyEnrichmentAt":378,"extractAt":379,"githubAt":378,"llmAt":380,"updatedAt":380}]