[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-shubhamsaboo-data-analyst-tr":3,"guides-for-shubhamsaboo-data-analyst":236,"similar-k17d9qgp73tpxcffh07vf2esjx867rvz":237},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":19,"identity":195,"isFallback":200,"parentExtension":201,"providers":202,"relations":206,"repo":208,"workflow":233},1778053327521.582,"k17d9qgp73tpxcffh07vf2esjx867rvz",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"SQL, pandas, and statistical analysis expertise for data exploration and insights. Use when: analyzing data, writing SQL queries, using pandas, performing statistical analysis, or when user mentions data analysis, SQL, pandas, statistics, or needs help exploring datasets.",{},"Data Analyst","https://github.com/shubhamsaboo/awesome-llm-apps/tree/HEAD/awesome_agent_skills/data-analyst",[15,16,17,18],"sql","pandas","statistics","data-analysis",{"_creationTime":20,"_id":21,"extensionId":5,"locale":22,"result":23,"trustSignals":183,"workflow":193},1778053376632.4329,"kn7axw3sy1rdnpjr29dafq4mpn866pey","en",{"checks":24,"evaluatedAt":173,"extensionSummary":174,"promptVersionExtension":175,"promptVersionScoring":176,"rationale":177,"score":178,"summary":179,"tags":180,"targetMarket":181,"tier":182},[25,30,33,37,42,45,50,53,57,61,65,68,71,74,78,81,84,87,90,93,97,101,104,108,111,114,117,120,123,126,130,133,137,141,144,147,150,153,157,160,163,166,169,171],{"category":26,"check":27,"severity":28,"summary":29},"Invocation","Precise Purpose","pass","The description clearly states the skill's purpose (SQL, pandas, statistical analysis expertise) and its intended use cases (analyzing data, writing SQL queries, using pandas, performing statistical analysis, exploring datasets).",{"category":26,"check":31,"severity":28,"summary":32},"Concise Frontmatter","The frontmatter is concise, clearly defining the skill's core capabilities and providing relevant trigger phrases within the initial ~160 characters.",{"category":34,"check":35,"severity":28,"summary":36},"Documentation","Concise Body","The SKILL.md body is well-structured and concise, outlining the core competencies without excessive detail, deferring deeper information implicitly.",{"category":38,"check":39,"severity":40,"summary":41},"Context","Progressive Disclosure","not_applicable","The SKILL.md is short and does not contain extensive procedures that would necessitate splitting into reference files.",{"category":38,"check":43,"severity":40,"summary":44},"Forked exploration","This skill is not designed for deep exploration or code review that would flood the conversation, so 'context: fork' is not applicable.",{"category":46,"check":47,"severity":48,"summary":49},"Practical Utility","Usage examples","warning","While the skill describes its capabilities, it lacks concrete, ready-to-use examples that demonstrate input, invocation, and observable output for each major function.",{"category":46,"check":51,"severity":48,"summary":52},"Edge cases","The skill mentions core competencies but does not explicitly document failure modes, their observable symptoms, or recovery steps for edge cases like malformed input or missing dependencies.",{"category":54,"check":55,"severity":40,"summary":56},"Code Execution","Tool Fallback","This skill does not appear to rely on external tools like an MCP server, making the fallback check not applicable.",{"category":58,"check":59,"severity":40,"summary":60},"Safety","Halt on unexpected state","The skill does not appear to have destructive operations or complex state management that would necessitate explicit pre-condition checks for halting.",{"category":62,"check":63,"severity":28,"summary":64},"Portability","Cross-skill coupling","The skill appears self-contained and does not implicitly rely on other skills, nor does it mention cross-linking to siblings, suggesting standalone functionality.",{"category":46,"check":66,"severity":28,"summary":67},"Problem relevance","The description clearly names a concrete user problem: the need for expertise in SQL, pandas, and statistical analysis for data exploration and insights.",{"category":46,"check":69,"severity":28,"summary":70},"Unique selling proposition","The skill offers specialized expertise in SQL, pandas, and statistical analysis, providing value beyond a general LLM's capabilities for data-related tasks.",{"category":46,"check":72,"severity":48,"summary":73},"Production readiness","While the skill outlines capabilities, it lacks concrete examples and detailed handling of edge cases, which are crucial for production readiness.",{"category":75,"check":76,"severity":28,"summary":77},"Scope","Single responsibility principle","The skill's scope is focused on data analysis, covering SQL, pandas, and statistics, which are related domains and do not indicate a 'kitchen-sink' approach.",{"category":75,"check":79,"severity":28,"summary":80},"Description quality","The description is concise, readable, and accurately reflects the skill's capabilities in SQL, pandas, and statistical analysis.",{"category":26,"check":82,"severity":28,"summary":83},"Scoped tools","The skill's description implies a focus on specific data analysis tasks (SQL queries, pandas manipulation, statistical analysis) rather than a single, generalist tool.",{"category":34,"check":85,"severity":40,"summary":86},"Configuration & parameter reference","No explicit parameters, environment variables, or configuration files are mentioned or utilized by this skill based on the provided SKILL.md.",{"category":75,"check":88,"severity":28,"summary":89},"Tool naming","While specific tool names are not listed, the described competencies (SQL, pandas, statistics) imply verb-noun specialist actions.",{"category":75,"check":91,"severity":28,"summary":92},"Minimal I/O surface","The description focuses on the types of analysis and code generation, implying that inputs and outputs would be specific to data analysis tasks rather than broad.",{"category":94,"check":95,"severity":28,"summary":96},"License","License usability","The license is explicitly stated as MIT in the SKILL.md frontmatter and a full Apache-2.0 license file is present, indicating permissive usability.",{"category":98,"check":99,"severity":40,"summary":100},"Maintenance","Commit recency","No commit history is available for the evaluation period.",{"category":98,"check":102,"severity":40,"summary":103},"Dependency Management","No third-party dependencies are explicitly mentioned or managed within the provided SKILL.md.",{"category":105,"check":106,"severity":40,"summary":107},"Security","Secret Management","The skill focuses on data analysis tasks and does not appear to handle or require secrets.",{"category":105,"check":109,"severity":28,"summary":110},"Injection","The skill's description and available files do not suggest loading or executing untrusted third-party data or code.",{"category":105,"check":112,"severity":28,"summary":113},"Transitive Supply-Chain Grenades","There are no indications of runtime downloads, external file execution, or remote script execution within the provided files.",{"category":105,"check":115,"severity":28,"summary":116},"Sandbox Isolation","The skill's documented capabilities do not suggest operations outside of a standard data analysis context that would risk sandbox escape.",{"category":105,"check":118,"severity":28,"summary":119},"Sandbox escape primitives","No detached-process spawns or deny-retry loops are evident from the skill's description or bundled files.",{"category":105,"check":121,"severity":28,"summary":122},"Data Exfiltration","The skill focuses on data analysis and SQL/pandas, with no indications of reading or submitting confidential data to third parties.",{"category":105,"check":124,"severity":28,"summary":125},"Hidden Text Tricks","The bundled files (SKILL.md, LICENSE, .gitignore) do not contain any hidden steering tricks, invisible characters, or suspicious formatting.",{"category":127,"check":128,"severity":28,"summary":129},"Hooks","Opaque code execution","The skill does not involve obfuscated code, base64 payloads, or runtime script fetching.",{"category":62,"check":131,"severity":28,"summary":132},"Structural Assumption","The skill's described purpose does not make specific assumptions about user project file layouts.",{"category":134,"check":135,"severity":40,"summary":136},"Trust","Issues Attention","No issue tracking data is available.",{"category":138,"check":139,"severity":28,"summary":140},"Versioning","Release Management","A version ('1.0.0') is clearly declared in the SKILL.md frontmatter.",{"category":54,"check":142,"severity":48,"summary":143},"Validation","While the skill implies structured output for queries and code, there's no explicit mention or evidence of schema validation libraries being used for input or output sanitization.",{"category":105,"check":145,"severity":28,"summary":146},"Unguarded Destructive Operations","The skill's described functions (data analysis, query writing) are not inherently destructive and do not appear to involve operations requiring additional guards.",{"category":54,"check":148,"severity":48,"summary":149},"Error Handling","The skill description focuses on capabilities but does not detail how errors, unexpected states, or failure modes are caught, categorized, or reported meaningfully to the agent.",{"category":54,"check":151,"severity":40,"summary":152},"Logging","The skill is analytical and read-only in nature, so no logging of destructive actions or outbound calls is required.",{"category":154,"check":155,"severity":40,"summary":156},"Compliance","GDPR","The skill operates on general data analysis tasks and does not appear to handle personal data specifically.",{"category":154,"check":158,"severity":28,"summary":159},"Target market","The skill's capabilities are general to data analysis and do not exhibit specific regional or jurisdictional logic, thus it targets a global market.",{"category":62,"check":161,"severity":28,"summary":162},"Runtime stability","The skill's described functions are general to data analysis and SQL/pandas, with no assumptions of specific editors, shells, or OS runtimes.",{"category":26,"check":164,"severity":40,"summary":165},"State Assumptions","The skill does not require specific external tools or services to be present, nor does it assume specific versions.",{"category":62,"check":167,"severity":28,"summary":168},"Stack assumptions","The skill's described functionality does not appear to make specific stack assumptions beyond general data analysis tools like SQL and pandas.",{"category":58,"check":59,"severity":40,"summary":170},"No destructive operations are indicated, thus no specific pre-condition checks for halting on unexpected state are necessary.",{"category":62,"check":63,"severity":28,"summary":172},"The skill appears self-contained and does not indicate any implicit reliance on other skills.",1778053344003,"This skill acts as an expert in SQL, pandas, and statistical analysis. It can generate complex SQL queries, perform data manipulation and transformation with pandas, and conduct statistical analysis including hypothesis testing and correlation. The skill aims to provide clear comments, example results, and performance considerations for its outputs.","2.0.0","3.4.0","The 'Data Analyst' skill provides clear value in SQL, pandas, and statistical analysis. However, it lacks concrete usage examples and detailed edge case handling, which are important for production readiness. It also has a warning for input validation, suggesting potential areas for improvement.",75,"A skilled data analyst for SQL, pandas, and statistical tasks, but could benefit from more detailed examples and error handling.",[15,16,17,18],"global","evaluated",{"codeQuality":184,"collectedAt":185,"documentation":186,"maintenance":188,"security":189,"testCoverage":192},{},1778053332088,{"descriptionLength":187,"readmeSize":8},272,{},{"hasNpmPackage":190,"license":191,"smitheryVerified":190},false,"MIT",{"hasCi":190,"hasTests":190},{"updatedAt":194},1778053376632,{"githubOwner":196,"githubRepo":197,"locale":22,"slug":198,"type":199},"shubhamsaboo","awesome-llm-apps","data-analyst","skill",true,null,{"extract":203,"llm":205},{"commitSha":204,"license":191},"a35897449fe8b0fab12e8f0fd9f2e2a40e872ab7",{"promptVersionExtension":175,"promptVersionScoring":176,"score":178,"targetMarket":181,"tier":182},{"repoId":207},"kd73kvct1kme7748mpsbddhhmx865wd3",{"_creationTime":209,"_id":207,"identity":210,"providers":212,"workflow":230},1777995558409.8494,{"githubOwner":196,"githubRepo":197,"sourceUrl":211},"https://github.com/shubhamsaboo/awesome-llm-apps",{"discover":213,"github":216},{"sources":214},[215],"skills-sh",{"closedIssues90d":217,"forks":218,"homepage":219,"license":220,"openIssues90d":221,"pushedAt":222,"readmeSize":223,"stars":224,"topics":225},18,16118,"https://www.theunwindai.com","Apache-2.0",1,1777876539000,20628,108975,[226,227,228,229],"llms","rag","python","agents",{"discoverAt":231,"extractAt":232,"githubAt":232,"updatedAt":232},1777995558409,1778053331062,{"anyEnrichmentAt":234,"extractAt":235,"githubAt":234,"llmAt":194,"updatedAt":194},1778053329769,1778053327521,[],[238,271,305,331,360,384],{"_creationTime":239,"_id":240,"community":241,"display":242,"identity":252,"providers":256,"relations":264,"workflow":266},1778053968286.491,"k175ck9zvdy7dd1ze11z36cjbx866tek",{"reviewCount":8},{"description":243,"installMethods":244,"name":245,"sourceUrl":246,"tags":247},"Use for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF. Triggers when tasks involve groupby aggregations, statistical summaries, anomaly detection, or large-scale data profiling.",{},"cuDF Analytics Skill","https://github.com/langchain-ai/deepagents/tree/HEAD/examples/nvidia_deep_agent/skills/cudf-analytics",[248,18,249,16,250,251,17],"gpu","cudf","tabular-data","aggregation",{"githubOwner":253,"githubRepo":254,"locale":22,"slug":255,"type":199},"langchain-ai","deepagents","cudf-analytics",{"extract":257,"llm":260,"smithery":263},{"commitSha":258,"license":259},"b108c71d0c570e16c7050c1eac482e15dc35a5ed","MIT-0",{"promptVersionExtension":175,"promptVersionScoring":176,"score":261,"targetMarket":181,"tier":262},95,"verified",{"qualityScore":8,"totalActivations":8,"uniqueUsers":8,"useCount":8,"verified":190},{"repoId":265},"kd76dna2fvfbnjvzcpd2cwqnyd865xz7",{"anyEnrichmentAt":267,"extractAt":268,"githubAt":269,"llmAt":270,"smitheryAt":267,"updatedAt":270},1778053994907,1778053968286,1778053969344,1778054053159,{"_creationTime":272,"_id":273,"community":274,"display":275,"identity":289,"providers":292,"relations":298,"workflow":300},1777995620896.9917,"k17231zep11befm3g43rsa1yv5864trn",{"reviewCount":8},{"description":276,"installMethods":277,"name":279,"sourceUrl":280,"tags":281},"Extension from aliengiraffe/spotdb",{"docker":278},"aliengiraffe/spotdb","SpotDB","https://github.com/aliengiraffe/spotdb",[282,15,283,284,18,285,286,287,288],"database","duckdb","go","sandbox","mcp","api","csv",{"githubOwner":290,"githubRepo":291,"locale":22,"slug":291,"type":199},"aliengiraffe","spotdb",{"extract":293,"llm":295,"smithery":297},{"commitSha":294,"license":191},"cfbbef27f89d18939149790a0fa9ce1ee2c5eac5",{"promptVersionExtension":175,"promptVersionScoring":176,"score":296,"targetMarket":181,"tier":262},98,{"qualityScore":8,"totalActivations":8,"uniqueUsers":8,"useCount":8,"verified":190},{"repoId":299},"kd72fk7ta378vyy81k8hqp5rs5864hzf",{"anyEnrichmentAt":301,"extractAt":302,"githubAt":303,"llmAt":304,"smitheryAt":301,"updatedAt":304},1777995723550,1777995620897,1777995621254,1777995897177,{"_creationTime":306,"_id":307,"community":308,"display":309,"identity":317,"providers":320,"relations":325,"workflow":327},1778053100136.2417,"k172f9k8w7xg3bzb9t320dj0cn866517",{"reviewCount":8},{"description":310,"installMethods":311,"name":312,"sourceUrl":313,"tags":314},"Use this skill when the user uploads Excel (.xlsx/.xls) or CSV files and wants to perform data analysis, generate statistics, create summaries, pivot tables, SQL queries, or any form of structured data exploration. Supports multi-sheet Excel workbooks, aggregation, filtering, joins, and exporting results to CSV/JSON/Markdown.",{},"Data Analysis Skill","https://github.com/bytedance/deer-flow/tree/HEAD/skills/public/data-analysis",[18,315,288,15,283,228,316],"excel","analytics",{"githubOwner":318,"githubRepo":319,"locale":22,"slug":18,"type":199},"bytedance","deer-flow",{"extract":321,"llm":323},{"commitSha":322,"license":191},"1336872b15c25d45ebcb7c1cf72369c2bdd53187",{"promptVersionExtension":175,"promptVersionScoring":176,"score":324,"targetMarket":181,"tier":262},96,{"repoId":326},"kd789sm7egx1h0t1jag6zzhcq98656wv",{"anyEnrichmentAt":328,"extractAt":329,"githubAt":328,"llmAt":330,"updatedAt":330},1778053101076,1778053100136,1778053169012,{"_creationTime":332,"_id":333,"community":334,"display":335,"identity":345,"providers":348,"relations":354,"workflow":356},1778054691785.2554,"k179r3z09h3t0ed62ac4yy0qzn867erz",{"reviewCount":8},{"description":336,"name":337,"sourceUrl":338,"tags":339},"Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas","Excel Spreadsheet Operations","https://github.com/answerzhao/agent-skills/tree/HEAD/glm-skills/document-skills/xlsx",[340,315,341,288,16,342,343,18,344],"spreadsheet","xlsx","openpyxl","formulas","visualization",{"githubOwner":346,"githubRepo":347,"locale":22,"slug":341,"type":199},"answerzhao","agent-skills",{"extract":349,"llm":352},{"commitSha":350,"license":351},"aad73edbd0d9ffbc3d6a402b6eafa6dab96d5ebb","Proprietary",{"promptVersionExtension":175,"promptVersionScoring":176,"score":178,"targetMarket":181,"tier":353},"flagged",{"repoId":355},"kd712v2g1pay70swwj0jpv2ggs864zgh",{"anyEnrichmentAt":357,"extractAt":358,"githubAt":357,"llmAt":359,"updatedAt":359},1778054692243,1778054691785,1778054738050,{"_creationTime":361,"_id":362,"community":363,"display":364,"identity":370,"providers":373,"relations":378,"workflow":380},1778054086261.097,"k171dyxchnt284xn9x9heqddch866tmp",{"reviewCount":8},{"description":336,"installMethods":365,"name":366,"sourceUrl":367,"tags":368},{},"XLSX Spreadsheet Manipulator","https://github.com/bilalmk/todo_correct/tree/HEAD/.claude/skills/panaversity/xlsx",[315,340,18,228,16,342,369],"libreoffice",{"githubOwner":371,"githubRepo":372,"locale":22,"slug":341,"type":199},"bilalmk","todo_correct",{"extract":374,"llm":376},{"commitSha":375,"license":351},"8b43aa04bd5c53e3cda46469b953684519a84ea7",{"promptVersionExtension":175,"promptVersionScoring":176,"score":377,"targetMarket":181,"tier":353},40,{"repoId":379},"kd75ecf652eb91ha327s8bqbex865z6v",{"anyEnrichmentAt":381,"extractAt":382,"githubAt":381,"llmAt":383,"updatedAt":383},1778054086910,1778054086261,1778054163453,{"_creationTime":385,"_id":386,"community":387,"display":388,"identity":397,"providers":399,"relations":404,"workflow":405},1778053968286.4934,"k172smq0fxy5e4spbwss5n7xes866z8p",{"reviewCount":8},{"description":389,"name":390,"sourceUrl":391,"tags":392},"Writes and executes SQL queries from simple SELECTs to complex multi-table JOINs, aggregations, and subqueries. Use when the user asks to query a database, write SQL, run a SELECT statement, retrieve data, filter records, or generate reports from database tables.","Query Writing Skill","https://github.com/langchain-ai/deepagents/tree/HEAD/examples/text-to-sql-agent/skills/query-writing",[393,394,15,282,395,396],"data-analytics","coding","query","code-generation",{"githubOwner":253,"githubRepo":254,"locale":22,"slug":398,"type":199},"query-writing",{"extract":400,"llm":401,"smithery":402},{"commitSha":258,"license":191},{"promptVersionExtension":175,"promptVersionScoring":176,"score":296,"targetMarket":181,"tier":262},{"qualityScore":403,"totalActivations":221,"uniqueUsers":221,"useCount":8,"verified":190},0.67405933,{"repoId":265},{"anyEnrichmentAt":267,"extractAt":268,"githubAt":269,"llmAt":270,"smitheryAt":267,"updatedAt":270}]