[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-langchain-ai-query-writing-ja":3,"guides-for-langchain-ai-query-writing":235,"similar-k172smq0fxy5e4spbwss5n7xes866z8p":236},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":20,"identity":189,"isFallback":194,"parentExtension":195,"providers":196,"relations":203,"repo":205,"workflow":231},1778053968286.4934,"k172smq0fxy5e4spbwss5n7xes866z8p",[],{"reviewCount":8},0,{"description":10,"name":11,"sourceUrl":12,"tags":13},"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",[14,15,16,17,18,19],"data-analytics","coding","sql","database","query","code-generation",{"_creationTime":21,"_id":22,"extensionId":5,"locale":23,"result":24,"trustSignals":176,"workflow":187},1778054053159.324,"kn7f7pyhaex01ynqhcbqtjqsfx867q4a","en",{"checks":25,"evaluatedAt":166,"extensionSummary":167,"promptVersionExtension":168,"promptVersionScoring":169,"rationale":170,"score":171,"summary":172,"tags":173,"targetMarket":174,"tier":175},[26,31,34,37,41,44,48,52,55,58,62,67,70,74,77,80,83,86,89,92,96,100,104,108,112,115,118,121,125,128,131,134,137,140,144,147,150,153,156,159,163],{"category":27,"check":28,"severity":29,"summary":30},"Practical Utility","Problem relevance","pass","The description clearly names the problem of writing and executing SQL queries, specifying various types of queries and use cases like data retrieval and reporting.",{"category":27,"check":32,"severity":29,"summary":33},"Unique selling proposition","The skill offers a structured workflow for writing SQL queries, including planning complex queries, examining schemas, and validating queries, which goes beyond basic LLM capabilities and provides value over simple prompting.",{"category":27,"check":35,"severity":29,"summary":36},"Production readiness","The skill provides a complete workflow for SQL query writing and execution, including error recovery and quality guidelines, making it suitable for production use.",{"category":38,"check":39,"severity":29,"summary":40},"Scope","Single responsibility principle","The skill is focused on writing and executing SQL queries, adhering to a single responsibility principle without extending into unrelated domains.",{"category":38,"check":42,"severity":29,"summary":43},"Description quality","The description accurately reflects the skill's capabilities in writing and executing SQL queries, including different types of queries and use cases.",{"category":45,"check":46,"severity":29,"summary":47},"Invocation","Scoped tools","The skill utilizes specific tools like `sql_db_schema`, `sql_db_query`, and `write_todos`, which are well-scoped verb-noun specialists.",{"category":49,"check":50,"severity":29,"summary":51},"Documentation","Configuration & parameter reference","All necessary information regarding schema inspection, query construction, and error recovery is documented within the skill's markdown file.",{"category":38,"check":53,"severity":29,"summary":54},"Tool naming","Tool names like `sql_db_schema`, `sql_db_query`, and `write_todos` are descriptive and relevant to the SQL domain.",{"category":38,"check":56,"severity":29,"summary":57},"Minimal I/O surface","The skill's inputs and outputs are focused on SQL query execution and schema information, without unnecessary data or diagnostic dumps.",{"category":59,"check":60,"severity":29,"summary":61},"License","License usability","The extension is licensed under the MIT License, which is a permissive open-source license.",{"category":63,"check":64,"severity":65,"summary":66},"Maintenance","Commit recency","not_applicable","The repository is part of a larger monorepo and individual skill commit dates are not directly applicable for this evaluation.",{"category":63,"check":68,"severity":65,"summary":69},"Dependency Management","No third-party dependencies are explicitly managed within this specific skill's directory; dependencies are managed at the project level.",{"category":71,"check":72,"severity":65,"summary":73},"Security","Secret Management","The skill does not handle or expose secrets.",{"category":71,"check":75,"severity":29,"summary":76},"Injection","The skill's logic focuses on SQL query generation and execution, and does not appear to load or execute untrusted third-party data as instructions.",{"category":71,"check":78,"severity":29,"summary":79},"Transitive Supply-Chain Grenades","The skill does not fetch remote content or execute external scripts at runtime, and all necessary logic is contained within the bundle.",{"category":71,"check":81,"severity":29,"summary":82},"Sandbox Isolation","The skill's operations are confined to SQL query execution and do not modify files outside its designated scope.",{"category":71,"check":84,"severity":29,"summary":85},"Sandbox escape primitives","There are no apparent sandbox-escape primitives like detached-process spawns or deny-retry loops in the skill's logic.",{"category":71,"check":87,"severity":29,"summary":88},"Data Exfiltration","The skill does not make outbound calls or reference confidential data.",{"category":71,"check":90,"severity":29,"summary":91},"Hidden Text Tricks","The bundled files do not contain any hidden-steering tricks, invisible characters, or obfuscated text.",{"category":93,"check":94,"severity":29,"summary":95},"Hooks","Opaque code execution","The skill's logic is presented in plain, readable markdown and does not involve obfuscated code or runtime script fetching.",{"category":97,"check":98,"severity":29,"summary":99},"Portability","Structural Assumption","The skill makes no structural assumptions about the user's project organization outside of its own bundle.",{"category":101,"check":102,"severity":65,"summary":103},"Trust","Issues Attention","This skill is part of a larger monorepo, and issue tracking is managed at the repository level, not for individual skills.",{"category":105,"check":106,"severity":65,"summary":107},"Versioning","Release Management","This skill is part of a larger monorepo; versioning is managed at the repository level, not for individual skills.",{"category":109,"check":110,"severity":29,"summary":111},"Code Execution","Validation","The skill's logic guides the user to validate query components against the schema and provides error recovery steps.",{"category":71,"check":113,"severity":29,"summary":114},"Unguarded Destructive Operations","The skill is read-only and focuses on query writing and execution; it does not perform destructive operations.",{"category":109,"check":116,"severity":29,"summary":117},"Error Handling","The skill provides specific error recovery steps for common issues like empty results, syntax errors, and timeouts.",{"category":109,"check":119,"severity":65,"summary":120},"Logging","The skill does not perform destructive actions or outbound calls that would require local audit logging.",{"category":122,"check":123,"severity":65,"summary":124},"Compliance","GDPR","The skill does not operate on personal data.",{"category":122,"check":126,"severity":29,"summary":127},"Target market","The skill is a generic SQL query writer and executor, with no regional or jurisdictional logic detected. It is globally applicable.",{"category":97,"check":129,"severity":29,"summary":130},"Runtime stability","The skill does not make assumptions about specific editors, shells, or OS, and is designed to be portable.",{"category":45,"check":132,"severity":29,"summary":133},"Precise Purpose","The description clearly defines the skill's purpose (writing and executing SQL queries) and provides specific use cases and boundaries.",{"category":45,"check":135,"severity":29,"summary":136},"Concise Frontmatter","The frontmatter is concise and effectively summarizes the core capability and provides trigger phrases.",{"category":49,"check":138,"severity":29,"summary":139},"Concise Body","The skill body is concise and focuses on the workflow and examples, with no excessive preamble.",{"category":141,"check":142,"severity":29,"summary":143},"Context","Progressive Disclosure","The skill's instructions are presented concisely, with complex procedures and detailed examples appropriately structured or deferred.",{"category":141,"check":145,"severity":65,"summary":146},"Forked exploration","The skill is not designed for deep exploration or code review and does not require `context: fork`.",{"category":27,"check":148,"severity":29,"summary":149},"Usage examples","A clear SQL query example is provided, demonstrating input, invocation, and expected output structure.",{"category":27,"check":151,"severity":29,"summary":152},"Edge cases","The skill includes specific sections for error recovery, addressing common failure modes like empty results, syntax errors, and timeouts with recovery steps.",{"category":109,"check":154,"severity":65,"summary":155},"Tool Fallback","The skill relies on internal tools (`sql_db_schema`, `sql_db_query`) and does not depend on optional external tools like MCP.",{"category":97,"check":157,"severity":29,"summary":158},"Stack assumptions","The skill does not make specific stack assumptions and its logic is broadly applicable to SQL environments.",{"category":160,"check":161,"severity":29,"summary":162},"Safety","Halt on unexpected state","The error recovery section implicitly guides the agent to halt and report on unexpected states by providing specific troubleshooting steps.",{"category":97,"check":164,"severity":29,"summary":165},"Cross-skill coupling","The skill is self-contained and does not implicitly rely on other skills; any cross-skill coordination would be explicit.",1778054034314,"This skill generates and executes SQL queries, supporting simple to complex statements involving joins, aggregations, and subqueries. It provides structured workflows for planning, schema examination, query construction, and validation, along with specific error recovery guidance for common issues.","2.0.0","3.4.0","The 'query-writing' skill is exceptionally well-documented and robust. It clearly defines its purpose, provides a structured workflow for both simple and complex SQL queries, includes a practical example, and offers detailed error recovery. All security and portability checks pass, and it adheres strictly to the single responsibility principle, making it a high-quality, trustworthy extension.",98,"A high-quality skill for writing and executing SQL queries with clear instructions, examples, and error handling.",[16,17,18,19],"global","verified",{"codeQuality":177,"collectedAt":178,"documentation":179,"maintenance":181,"popularity":182,"security":184,"testCoverage":186},{},1778054020887,{"descriptionLength":180,"readmeSize":8},263,{},{"smitheryUniqueUsers":183,"smitheryUseCount":8},1,{"hasNpmPackage":185,"smitheryVerified":185},false,{"hasCi":185,"hasTests":185},{"updatedAt":188},1778054053159,{"githubOwner":190,"githubRepo":191,"locale":23,"slug":192,"type":193},"langchain-ai","deepagents","query-writing","skill",true,null,{"extract":197,"llm":200,"smithery":201},{"commitSha":198,"license":199},"b108c71d0c570e16c7050c1eac482e15dc35a5ed","MIT",{"promptVersionExtension":168,"promptVersionScoring":169,"score":171,"targetMarket":174,"tier":175},{"qualityScore":202,"totalActivations":183,"uniqueUsers":183,"useCount":8,"verified":185},0.67405933,{"repoId":204},"kd76dna2fvfbnjvzcpd2cwqnyd865xz7",{"_creationTime":206,"_id":204,"identity":207,"providers":209,"workflow":228},1777995558409.8704,{"githubOwner":190,"githubRepo":191,"sourceUrl":208},"https://github.com/langchain-ai/deepagents",{"discover":210,"github":214},{"sources":211},[212,213],"skills-sh","smithery",{"closedIssues90d":215,"forks":216,"homepage":217,"license":199,"openIssues90d":218,"pushedAt":219,"readmeSize":220,"stars":221,"topics":222},256,3140,"https://docs.langchain.com/deepagents",142,1778033560000,6232,22320,[191,223,224,225,226,227],"langchain","langgraph","ai","python","typescript",{"discoverAt":229,"extractAt":230,"githubAt":230,"updatedAt":230},1777995558409,1778053970345,{"anyEnrichmentAt":232,"extractAt":233,"githubAt":234,"llmAt":188,"smitheryAt":232,"updatedAt":188},1778053994907,1778053968286,1778053969344,[],[237,262,295,314,343],{"_creationTime":238,"_id":239,"community":240,"display":241,"identity":251,"providers":253,"relations":260,"workflow":261},1778053968286.494,"k176w7f9ax59g2xqy6243c9pk1866f9s",{"reviewCount":8},{"description":242,"installMethods":243,"name":244,"sourceUrl":245,"tags":246},"Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.",{},"Schema Exploration","https://github.com/langchain-ai/deepagents/tree/HEAD/examples/text-to-sql-agent/skills/schema-exploration",[14,247,17,16,248,249,250],"research","schema","exploration","documentation",{"githubOwner":190,"githubRepo":191,"locale":23,"slug":252,"type":193},"schema-exploration",{"extract":254,"llm":255,"smithery":257},{"commitSha":198,"license":199},{"promptVersionExtension":168,"promptVersionScoring":169,"score":256,"targetMarket":174,"tier":175},95,{"qualityScore":258,"totalActivations":259,"uniqueUsers":259,"useCount":8,"verified":185},0.69166845,2,{"repoId":204},{"anyEnrichmentAt":232,"extractAt":233,"githubAt":234,"llmAt":188,"smitheryAt":232,"updatedAt":188},{"_creationTime":263,"_id":264,"community":265,"display":266,"identity":280,"providers":283,"relations":288,"workflow":290},1777995620896.9917,"k17231zep11befm3g43rsa1yv5864trn",{"reviewCount":8},{"description":267,"installMethods":268,"name":270,"sourceUrl":271,"tags":272},"Extension from aliengiraffe/spotdb",{"docker":269},"aliengiraffe/spotdb","SpotDB","https://github.com/aliengiraffe/spotdb",[17,16,273,274,275,276,277,278,279],"duckdb","go","data-analysis","sandbox","mcp","api","csv",{"githubOwner":281,"githubRepo":282,"locale":23,"slug":282,"type":193},"aliengiraffe","spotdb",{"extract":284,"llm":286,"smithery":287},{"commitSha":285,"license":199},"cfbbef27f89d18939149790a0fa9ce1ee2c5eac5",{"promptVersionExtension":168,"promptVersionScoring":169,"score":171,"targetMarket":174,"tier":175},{"qualityScore":8,"totalActivations":8,"uniqueUsers":8,"useCount":8,"verified":185},{"repoId":289},"kd72fk7ta378vyy81k8hqp5rs5864hzf",{"anyEnrichmentAt":291,"extractAt":292,"githubAt":293,"llmAt":294,"smitheryAt":291,"updatedAt":294},1777995723550,1777995620897,1777995621254,1777995897177,{"_creationTime":296,"_id":297,"community":298,"display":299,"identity":307,"providers":308,"relations":312,"workflow":313},1778053968286.4895,"k173snp1f2wxqbvt6d08k7kf39867h5m",{"reviewCount":8},{"description":300,"installMethods":301,"name":302,"sourceUrl":303,"tags":304},"Break down a coding task into a structured implementation plan with clear steps, file identification, and risk assessment.",{},"Planning Skill","https://github.com/langchain-ai/deepagents/tree/HEAD/examples/deploy-coding-agent/skills/planning",[305,15,306,19],"planning","task-management",{"githubOwner":190,"githubRepo":191,"locale":23,"slug":305,"type":193},{"extract":309,"llm":310,"smithery":311},{"commitSha":198,"license":199},{"promptVersionExtension":168,"promptVersionScoring":169,"score":256,"targetMarket":174,"tier":175},{"qualityScore":8,"totalActivations":8,"uniqueUsers":8,"useCount":8,"verified":185},{"repoId":204},{"anyEnrichmentAt":232,"extractAt":233,"githubAt":234,"llmAt":188,"smitheryAt":232,"updatedAt":188},{"_creationTime":315,"_id":316,"community":317,"display":318,"identity":329,"providers":332,"relations":337,"workflow":339},1778053689272.9238,"k17a5hw81fhwybk1wxavs6mvjs8676ca",{"reviewCount":8},{"description":319,"installMethods":320,"name":321,"sourceUrl":322,"tags":323},"Set up a new Prisma Postgres database and connect it to a local project using the Management API. Use when asked to \"set up a database\", \"create a Prisma Postgres project\", \"get a connection string\", \"connect my app to Prisma Postgres\", or \"provision a database\".",{},"Prisma Postgres Setup","https://github.com/prisma/skills/tree/HEAD/prisma-postgres-setup",[324,325,17,326,327,278,227,328],"prisma","postgres","setup","connection","node-js",{"githubOwner":324,"githubRepo":330,"locale":23,"slug":331,"type":193},"skills","prisma-postgres-setup",{"extract":333,"llm":335},{"commitSha":334,"license":199},"741a74fdafc1bf61fa208c2f73878be688cba263",{"promptVersionExtension":168,"promptVersionScoring":169,"score":336,"targetMarket":174,"tier":175},99,{"repoId":338},"kd76h7swxyhk8405svecsqq7gh864y5s",{"anyEnrichmentAt":340,"extractAt":341,"githubAt":340,"llmAt":342,"updatedAt":342},1778053689723,1778053689272,1778053716548,{"_creationTime":344,"_id":345,"community":346,"display":347,"identity":356,"providers":358,"relations":365,"workflow":366},1778053968286.4954,"k179afn14fzy4sejmjf82fgqa9867ck6",{"reviewCount":8},{"description":348,"installMethods":349,"name":350,"sourceUrl":351,"tags":352},"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",[247,14,353,354,226,355],"arxiv","academic-papers","cli",{"githubOwner":190,"githubRepo":191,"locale":23,"slug":357,"type":193},"arxiv-search",{"extract":359,"llm":360,"smithery":361},{"commitSha":198,"license":199},{"promptVersionExtension":168,"promptVersionScoring":169,"score":171,"targetMarket":174,"tier":175},{"qualityScore":362,"totalActivations":363,"uniqueUsers":364,"useCount":8,"verified":185},0.7439563,9,8,{"repoId":204},{"anyEnrichmentAt":232,"extractAt":233,"githubAt":234,"llmAt":188,"smitheryAt":232,"updatedAt":188}]