[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-dontbesilent2025-dbs-benchmark-pl":3,"guides-for-dontbesilent2025-dbs-benchmark":333,"similar-k177ca57b1kps6eg7y6hvmn5jx866tf9":334},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":20,"identity":189,"isFallback":193,"parentExtension":194,"providers":308,"relations":312,"repo":313,"workflow":332},1778053172687.5159,"k177ca57b1kps6eg7y6hvmn5jx866tf9",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"dontbesilent 对标分析。用五重过滤法帮你找到值得模仿的对标，排除一切关于「我」的噪音。 触发方式：/dbs-benchmark、/对标、「帮我找对标」「我该模仿谁」 Benchmark analysis using dontbesilent's five-filter method. Trigger: /dbs-benchmark, \"find me a benchmark\", \"who should I copy\"",{},"dbs-benchmark","https://github.com/dontbesilent2025/dbskill/tree/HEAD/skills/dbs-benchmark",[15,16,17,18,19],"benchmark","analysis","business","strategy","comparable",{"_creationTime":21,"_id":22,"extensionId":5,"locale":23,"result":24,"trustSignals":178,"workflow":187},1778053288253.0608,"kn7e8zb110e9jm55nzcwvhnmfs866qxh","en",{"checks":25,"evaluatedAt":168,"extensionSummary":169,"promptVersionExtension":170,"promptVersionScoring":171,"rationale":172,"score":173,"summary":174,"tags":175,"targetMarket":176,"tier":177},[26,31,34,37,41,44,49,53,56,59,64,68,71,75,78,81,84,87,90,93,97,101,105,109,113,116,119,122,126,129,132,135,138,141,145,148,152,155,158,161,165],{"category":27,"check":28,"severity":29,"summary":30},"Practical Utility","Problem relevance","pass","The description clearly names the problem of finding comparable benchmarks and the user's need to eliminate noise, which is a concrete pain point for analysis.",{"category":27,"check":32,"severity":29,"summary":33},"Unique selling proposition","The extension offers a unique five-filter method for benchmark analysis, which goes beyond a simple prompt by providing a structured and rigorous approach to selecting comparable benchmarks.",{"category":27,"check":35,"severity":29,"summary":36},"Production readiness","The skill provides a comprehensive framework for identifying and analyzing benchmarks, including specific phases and filters, suggesting it is ready for use in workflow analysis.",{"category":38,"check":39,"severity":29,"summary":40},"Scope","Single responsibility principle","The extension's scope is focused on benchmark analysis and comparison, aligning with its name and description, and does not extend into unrelated domains.",{"category":38,"check":42,"severity":29,"summary":43},"Description quality","The displayed description is concise, accurate, and effectively communicates the extension's purpose and trigger methods in both Chinese and English.",{"category":45,"check":46,"severity":47,"summary":48},"Invocation","Scoped tools","not_applicable","This extension does not expose specific tools with verb-noun actions; it operates as a single conversational agent skill.",{"category":50,"check":51,"severity":47,"summary":52},"Documentation","Configuration & parameter reference","The extension does not appear to have configurable parameters or options that require documentation.",{"category":38,"check":54,"severity":47,"summary":55},"Tool naming","This extension does not expose specific tools with named commands.",{"category":38,"check":57,"severity":47,"summary":58},"Minimal I/O surface","As this is a conversational skill, the concept of minimal I/O surface for tools does not apply.",{"category":60,"check":61,"severity":62,"summary":63},"License","License usability","warning","The license is CC BY-NC 4.0, which is a non-commercial license and may restrict usability for commercial projects or require specific licensing from the author.",{"category":65,"check":66,"severity":47,"summary":67},"Maintenance","Commit recency","No commit history available for this repository.",{"category":65,"check":69,"severity":47,"summary":70},"Dependency Management","No third-party dependencies were detected.",{"category":72,"check":73,"severity":47,"summary":74},"Security","Secret Management","The skill does not appear to handle or manage any secrets.",{"category":72,"check":76,"severity":29,"summary":77},"Injection","The skill's instructions are contained within the SKILL.md file and do not appear to load or execute untrusted external data as instructions.",{"category":72,"check":79,"severity":29,"summary":80},"Transitive Supply-Chain Grenades","The skill does not fetch remote content or execute external scripts at runtime, and all logic is contained within the provided files.",{"category":72,"check":82,"severity":29,"summary":83},"Sandbox Isolation","The skill operates conversationally and does not interact with the file system or make changes outside its defined scope.",{"category":72,"check":85,"severity":29,"summary":86},"Sandbox escape primitives","The skill does not contain any scripts or instructions that could facilitate sandbox escape.",{"category":72,"check":88,"severity":29,"summary":89},"Data Exfiltration","The skill does not make any outbound network calls or reference sensitive data.",{"category":72,"check":91,"severity":29,"summary":92},"Hidden Text Tricks","The bundled files do not contain any hidden text tricks, invisible characters, or obfuscation techniques.",{"category":94,"check":95,"severity":29,"summary":96},"Hooks","Opaque code execution","The skill's logic is presented as plain Markdown text and does not involve obfuscated code, base64 payloads, or runtime script fetching.",{"category":98,"check":99,"severity":29,"summary":100},"Portability","Structural Assumption","The skill operates conversationally and does not make assumptions about the user's project file structure.",{"category":102,"check":103,"severity":47,"summary":104},"Trust","Issues Attention","No GitHub issues data available for this repository.",{"category":106,"check":107,"severity":62,"summary":108},"Versioning","Release Management","No manifest version, GitHub release tags, or CHANGELOG are present, and installation instructions may point to the main branch without version pinning.",{"category":110,"check":111,"severity":47,"summary":112},"Code Execution","Validation","The skill is conversational and does not involve executable code or structured input/output that requires validation.",{"category":72,"check":114,"severity":29,"summary":115},"Unguarded Destructive Operations","The skill is conversational and does not perform any destructive operations.",{"category":110,"check":117,"severity":29,"summary":118},"Error Handling","As a conversational skill, error handling is managed by the underlying LLM, and no explicit error handling code is present or required.",{"category":110,"check":120,"severity":47,"summary":121},"Logging","The skill is conversational and does not perform actions that require local audit logging.",{"category":123,"check":124,"severity":29,"summary":125},"Compliance","GDPR","The skill focuses on business analysis and does not appear to process personal data.",{"category":123,"check":127,"severity":29,"summary":128},"Target market","The skill's methodology is general and applicable globally, with no specific regional or jurisdictional logic detected. Target market is 'global'.",{"category":98,"check":130,"severity":29,"summary":131},"Runtime stability","The skill is conversational and relies on the LLM runtime, with no specific editor, shell, or OS assumptions detected.",{"category":45,"check":133,"severity":29,"summary":134},"Precise Purpose","The skill clearly defines its purpose (benchmark analysis), target user (those seeking to imitate), and methodology (five-filter method), with specific trigger phrases.",{"category":45,"check":136,"severity":29,"summary":137},"Concise Frontmatter","The frontmatter is concise and effectively summarizes the core capability and triggers, fitting within typical length constraints.",{"category":50,"check":139,"severity":29,"summary":140},"Concise Body","The SKILL.md body is well-structured, uses progressive disclosure for deeper references, and stays within reasonable length limits.",{"category":142,"check":143,"severity":29,"summary":144},"Context","Progressive Disclosure","Deeper material and references are linked via relative paths, supporting progressive disclosure.",{"category":142,"check":146,"severity":47,"summary":147},"Forked exploration","The skill is primarily conversational and does not involve deep code review or multi-file inspection, thus 'context: fork' is not applicable.",{"category":27,"check":149,"severity":150,"summary":151},"Usage examples","info","While the SKILL.md outlines the process and provides some inline cases, explicit, ready-to-use end-to-end examples with inputs and expected outputs are limited.",{"category":27,"check":153,"severity":29,"summary":154},"Edge cases","The skill explicitly handles edge cases and limitations, particularly around user self-discussion and motivation, by defining clear recovery paths and boundaries.",{"category":110,"check":156,"severity":47,"summary":157},"Tool Fallback","This conversational skill does not rely on external tools like MCP servers and thus does not require fallbacks.",{"category":98,"check":159,"severity":29,"summary":160},"Stack assumptions","The skill is designed to run on various LLM platforms and does not make specific assumptions about the user's local development stack.",{"category":162,"check":163,"severity":29,"summary":164},"Safety","Halt on unexpected state","The skill's design includes clear instructions to abort and report on unexpected user pre-states (e.g., 'self-discussion' instead of 'business analysis'), ensuring safe operation.",{"category":98,"check":166,"severity":29,"summary":167},"Cross-skill coupling","The skill is designed to be standalone, and while it mentions other skills, it does not implicitly rely on them being loaded in the same session.",1778053199059,"This skill assists users in performing benchmark analysis using a rigorous five-filter method to identify viable imitation targets, focusing on business viability and executable imitation paths while explicitly excluding personal preferences or market trends. It defines clear conversational triggers and provides detailed guidance on how to apply its framework.","2.0.0","3.4.0","The extension is well-documented, has a clear focus, and demonstrates robust handling of its conversational scope. The primary concerns are the non-commercial license and the lack of explicit end-to-end usage examples, which slightly lower the score but do not prevent it from being verified.",85,"A comprehensive benchmark analysis skill that guides users through a structured five-filter method to identify and evaluate comparable benchmarks.",[15,16,17,18,19],"global","verified",{"codeQuality":179,"collectedAt":180,"documentation":181,"maintenance":183,"security":184,"testCoverage":186},{},1778053188595,{"descriptionLength":182,"readmeSize":8},216,{},{"hasNpmPackage":185,"smitheryVerified":185},false,{"hasCi":185,"hasTests":185},{"updatedAt":188},1778053288253,{"githubOwner":190,"githubRepo":191,"locale":23,"slug":12,"type":192},"dontbesilent2025","dbskill","skill",true,{"_creationTime":195,"_id":196,"community":197,"display":198,"identity":266,"parentExtension":268,"providers":300,"relations":306,"workflow":307},1778053172687.5154,"k173dy5w0vptk8h45sdfqrfm71866xfv",{"reviewCount":8},{"description":199,"installMethods":200,"name":191,"sourceUrl":201,"tags":202},"dontbesilent 对标分析。用五重过滤法帮你找到值得模仿的对标，排除一切关于「我」的噪音。",{},"https://github.com/dontbesilent2025/dbskill",[17,203,204,205,206,15,207,208,18,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265],"diagnostics","router","toolkit","chinese","competitive-analysis","imitation","psychology","execution","procrastination","adler","content-creation","copywriting","social-media","hook","short-video","douyin","xiaohongshu","red","title","formula","thinking-tools","wittgenstein","concepts","deconstruction","philosophy","austrian-economics","hayek","mises","debate","ai-detection","writing","fingerprint","content-quality","slow-is-fast","friction","asset-building","compounding","workflow-infrastructure","agent","migration","codex","claude-code","agents-md","bridge","state-management","save","checkpoint","snapshot","persistence","restore","recall","continue","session","report","deliverable","merge","markdown","goal","clarity","language-game","chatroom","multi-expert","recommendation",{"githubOwner":190,"githubRepo":191,"locale":23,"slug":12,"type":267},"plugin",{"_creationTime":269,"_id":270,"community":271,"display":272,"identity":282,"providers":285,"relations":295,"workflow":297},1778053172687.513,"k177pj7y8n3bt1g3qss80tbs85866zne",{"reviewCount":8},{"description":273,"installMethods":274,"name":275,"sourceUrl":201,"tags":276},"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",[277,213,278,279,206,280,281],"business-diagnostics","workflow","tool","ai-assistant","consulting",{"githubOwner":190,"githubRepo":191,"locale":23,"slug":283,"type":284},"dontbesilent-skills","marketplace",{"extract":286,"llm":292},{"commitSha":287,"license":288,"marketplace":289},"82ad0b438a95e6a350ff26febbcfd0d309feb134","CC BY-NC 4.0",{"name":283,"pluginCount":290,"version":291},17,"2.8.0",{"promptVersionExtension":170,"promptVersionScoring":171,"score":293,"targetMarket":176,"tier":294},75,"evaluated",{"repoId":296},"kd79vvh7s9ep69hsn7agrem6s1864j2b",{"anyEnrichmentAt":298,"extractAt":299,"githubAt":298,"llmAt":188,"updatedAt":188},1778053174293,1778053172687,{"extract":301,"llm":303},{"commitSha":287,"license":302},"Attribution-NonCommercial 4.0 International",{"promptVersionExtension":170,"promptVersionScoring":171,"score":304,"targetMarket":176,"tier":305},20,"flagged",{"parentExtensionId":270,"repoId":296},{"anyEnrichmentAt":298,"extractAt":299,"githubAt":298,"llmAt":188,"updatedAt":188},{"extract":309,"llm":311},{"commitSha":287,"license":310},"CC-BY-NC-4.0",{"promptVersionExtension":170,"promptVersionScoring":171,"score":173,"targetMarket":176,"tier":177},{"parentExtensionId":196,"repoId":296},{"_creationTime":314,"_id":296,"identity":315,"providers":316,"workflow":329},1777995558409.854,{"githubOwner":190,"githubRepo":191,"sourceUrl":201},{"discover":317,"github":320},{"sources":318},[319],"skills-sh",{"closedIssues90d":321,"forks":322,"license":323,"openIssues90d":324,"pushedAt":325,"readmeSize":326,"stars":327,"topics":328},2,597,"NOASSERTION",5,1777975009000,11370,4243,[],{"discoverAt":330,"extractAt":331,"githubAt":331,"updatedAt":331},1777995558409,1778053176182,{"anyEnrichmentAt":298,"extractAt":299,"githubAt":298,"llmAt":188,"updatedAt":188},[],[335,363,389,418,439,460],{"_creationTime":336,"_id":337,"community":338,"display":339,"identity":347,"providers":351,"relations":357,"workflow":359},1778053622473.6448,"k176n8y76dbfh6a3c6yjaxqt398675s1",{"reviewCount":8},{"description":340,"installMethods":341,"name":342,"sourceUrl":343,"tags":344},"Diagnose competitive product analysis state and guide through systematic market evaluation. Use when analyzing a product category, building feature comparisons, understanding competitive landscape, building personas, or deciding build vs. buy. Routes to 6 interconnected frameworks based on current analysis state.",{},"Product Analysis","https://github.com/jwynia/agent-skills/tree/HEAD/skills/development/architecture/product-analysis",[16,345,18,207,346],"product-management","market-evaluation",{"githubOwner":348,"githubRepo":349,"locale":23,"slug":350,"type":192},"jwynia","agent-skills","product-analysis",{"extract":352,"llm":355},{"commitSha":353,"license":354},"e02ec7e226a6e4f8419fd3b88a1d8e472d421b32","MIT",{"promptVersionExtension":170,"promptVersionScoring":171,"score":356,"targetMarket":176,"tier":177},95,{"repoId":358},"kd7efn3mprpa8rd8vm5hw5ebzx864fph",{"anyEnrichmentAt":360,"extractAt":361,"githubAt":360,"llmAt":362,"updatedAt":362},1778053625386,1778053622473,1778054012696,{"_creationTime":364,"_id":365,"community":366,"display":367,"identity":375,"providers":379,"relations":383,"workflow":385},1778053730743.9756,"k17epa4vc6har7m5nt1w6zpvwn867jtd",{"reviewCount":8},{"description":368,"installMethods":369,"name":370,"sourceUrl":371,"tags":372},"Help users decide when and how to pivot their startup. Use when someone is questioning their current direction, seeing poor traction, considering a major strategy change, or stuck in the pre-PMF stage.",{},"Startup Pivoting","https://github.com/refoundai/lenny-skills/tree/HEAD/skills/startup-pivoting",[373,17,18,345,374],"startup","pivot",{"githubOwner":376,"githubRepo":377,"locale":23,"slug":378,"type":192},"refoundai","lenny-skills","startup-pivoting",{"extract":380,"llm":382},{"commitSha":381,"license":354},"280a57aa42fed3b6f35f51f0d9e71013b4c8ae74",{"promptVersionExtension":170,"promptVersionScoring":171,"score":356,"targetMarket":176,"tier":177},{"repoId":384},"kd71b12s61d3nrk4f6dxqd3z35865mkg",{"anyEnrichmentAt":386,"extractAt":387,"githubAt":386,"llmAt":388,"updatedAt":388},1778053732694,1778053730744,1778053975687,{"_creationTime":390,"_id":391,"community":392,"display":393,"identity":403,"providers":407,"relations":412,"workflow":414},1778053327521.585,"k17eftejnaapgr7mnfajqgng2h866syh",{"reviewCount":8},{"description":394,"installMethods":395,"name":396,"sourceUrl":397,"tags":398},"Systematic fact verification and misinformation identification using evidence-based analysis. Use when: verifying claims, checking facts, identifying misinformation, evaluating source credibility, or when user asks to \"fact check\", \"verify\", \"is this true\", or mentions claims that need validation.",{},"Fact Checker","https://github.com/shubhamsaboo/awesome-llm-apps/tree/HEAD/awesome_agent_skills/fact-checker",[399,400,401,402,16],"fact-checking","misinformation","verification","llm-skill",{"githubOwner":404,"githubRepo":405,"locale":23,"slug":406,"type":192},"shubhamsaboo","awesome-llm-apps","fact-checker",{"extract":408,"llm":410},{"commitSha":409,"license":354},"a35897449fe8b0fab12e8f0fd9f2e2a40e872ab7",{"promptVersionExtension":170,"promptVersionScoring":171,"score":411,"targetMarket":176,"tier":177},100,{"repoId":413},"kd73kvct1kme7748mpsbddhhmx865wd3",{"anyEnrichmentAt":415,"extractAt":416,"githubAt":415,"llmAt":417,"updatedAt":417},1778053329769,1778053327521,1778053376632,{"_creationTime":419,"_id":420,"community":421,"display":422,"identity":431,"providers":433,"relations":437,"workflow":438},1778053622473.6594,"k171jc4epkmqq2y76n42e3eg0s866rf8",{"reviewCount":8},{"description":423,"installMethods":424,"name":425,"sourceUrl":426,"tags":427},"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",[233,16,428,429,430],"non-fiction","diagnostic","documentation",{"githubOwner":348,"githubRepo":349,"locale":23,"slug":432,"type":192},"blind-spot-detective",{"extract":434,"llm":435},{"commitSha":353,"license":354},{"promptVersionExtension":170,"promptVersionScoring":171,"score":436,"targetMarket":176,"tier":177},99,{"repoId":358},{"anyEnrichmentAt":360,"extractAt":361,"githubAt":360,"llmAt":362,"updatedAt":362},{"_creationTime":440,"_id":441,"community":442,"display":443,"identity":452,"providers":454,"relations":458,"workflow":459},1778053622473.6365,"k17960cwsfaph9a3c4pas2t08n8660g2",{"reviewCount":8},{"description":444,"installMethods":445,"name":446,"sourceUrl":447,"tags":448},"Reverse-engineer published books into structured scene-by-scene outlines for study. Use when analyzing craft, learning story structure from masters, or creating teaching materials from existing works.",{},"Reverse-Outliner","https://github.com/jwynia/agent-skills/tree/HEAD/skills/creative/fiction/structure/reverse-outliner",[449,233,16,450,451],"fiction","outlining","story-structure",{"githubOwner":348,"githubRepo":349,"locale":23,"slug":453,"type":192},"reverse-outliner",{"extract":455,"llm":456},{"commitSha":353,"license":354},{"promptVersionExtension":170,"promptVersionScoring":171,"score":457,"targetMarket":176,"tier":177},98,{"repoId":358},{"anyEnrichmentAt":360,"extractAt":361,"githubAt":360,"llmAt":362,"updatedAt":362},{"_creationTime":461,"_id":462,"community":463,"display":464,"identity":477,"providers":481,"relations":485,"workflow":487},1778053148350.4324,"k174n1jd975yr6a1gceyf5q3gd8674w1",{"reviewCount":8},{"description":465,"installMethods":466,"name":467,"sourceUrl":468,"tags":469},"Analyze spreadsheet data, generate insights, create visualizations, and build reports from Excel/CSV data.",{},"Data Analysis Assistant","https://github.com/claude-office-skills/skills/tree/HEAD/data-analysis",[470,16,471,472,473,474,475,476],"data","spreadsheet","excel","visualization","insights","finance","mcp",{"githubOwner":478,"githubRepo":479,"locale":23,"slug":480,"type":192},"claude-office-skills","skills","data-analysis",{"extract":482,"llm":484},{"commitSha":483,"license":354},"9c4c7d5cd2813a8936bf2c9fdb174ea883b85a11",{"promptVersionExtension":170,"promptVersionScoring":171,"score":457,"targetMarket":176,"tier":177},{"repoId":486},"kd7fw7xbj58qc2z8whrrjptbed8659db",{"anyEnrichmentAt":488,"extractAt":489,"githubAt":488,"llmAt":490,"updatedAt":490},1778053151766,1778053148350,1778053561145]