[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-langchain-ai-schema-exploration-es":3,"guides-for-langchain-ai-schema-exploration":236,"similar-k176w7f9ax59g2xqy6243c9pk1866f9s":237},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":22,"identity":190,"isFallback":195,"parentExtension":196,"providers":197,"relations":204,"repo":206,"workflow":232},1778053968286.494,"k176w7f9ax59g2xqy6243c9pk1866f9s",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"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",[15,16,17,18,19,20,21],"data-analytics","research","database","sql","schema","exploration","documentation",{"_creationTime":23,"_id":24,"extensionId":5,"locale":25,"result":26,"trustSignals":177,"workflow":188},1778054053159.3213,"kn7ansqqzs4x2bpcsv2za332z18669as","en",{"checks":27,"evaluatedAt":167,"extensionSummary":168,"promptVersionExtension":169,"promptVersionScoring":170,"rationale":171,"score":172,"summary":173,"tags":174,"targetMarket":175,"tier":176},[28,33,36,39,43,46,50,55,58,61,65,69,72,76,79,82,85,88,91,94,97,101,105,109,113,116,119,122,126,129,132,135,138,141,145,148,151,154,157,160,164],{"category":29,"check":30,"severity":31,"summary":32},"Practical Utility","Problem relevance","pass","The description clearly states the problem it solves: understanding and querying database schemas, which is a concrete and bounded problem for users working with databases.",{"category":29,"check":34,"severity":31,"summary":35},"Unique selling proposition","The skill provides a structured workflow for exploring database schemas, including specific tools for listing tables, describing columns, and mapping relationships, which goes beyond a simple LLM's default capabilities.",{"category":29,"check":37,"severity":31,"summary":38},"Production readiness","The skill demonstrates a complete lifecycle for schema exploration, from listing tables to providing detailed schema information and relationship mapping, which is suitable for production workflows.",{"category":40,"check":41,"severity":31,"summary":42},"Scope","Single responsibility principle","The skill focuses exclusively on database schema exploration and related queries, adhering to a single responsibility principle without extending into unrelated domains.",{"category":40,"check":44,"severity":31,"summary":45},"Description quality","The displayed description accurately and concisely reflects the skill's capabilities in understanding and querying database schemas.",{"category":47,"check":48,"severity":31,"summary":49},"Invocation","Scoped tools","The skill utilizes narrow verb-noun tools like `sql_db_list_tables` and `sql_db_schema`, ensuring precise invocation and limited attack surface.",{"category":51,"check":52,"severity":53,"summary":54},"Documentation","Configuration & parameter reference","not_applicable","The skill does not appear to have configurable parameters or environment variables that require documentation.",{"category":40,"check":56,"severity":31,"summary":57},"Tool naming","The tool names (`sql_db_list_tables`, `sql_db_schema`) are descriptive, verb-noun based, and clearly indicate their domain-specific function.",{"category":40,"check":59,"severity":31,"summary":60},"Minimal I/O surface","Tool inputs (table names) are specific, and outputs provide focused information about schema details and relationships without extraneous data.",{"category":62,"check":63,"severity":31,"summary":64},"License","License usability","The extension is licensed under the MIT License, which is a permissive open-source license.",{"category":66,"check":67,"severity":53,"summary":68},"Maintenance","Commit recency","No commit history is available for this specific skill file, making recency evaluation impossible.",{"category":66,"check":70,"severity":53,"summary":71},"Dependency Management","No third-party dependencies are explicitly managed within this skill's source files.",{"category":73,"check":74,"severity":53,"summary":75},"Security","Secret Management","The skill does not appear to handle or expose any secrets.",{"category":73,"check":77,"severity":31,"summary":78},"Injection","The skill interacts with database tools and does not appear to load or execute untrusted third-party data as instructions.",{"category":73,"check":80,"severity":31,"summary":81},"Transitive Supply-Chain Grenades","The skill's code is self-contained and does not fetch remote content or execute arbitrary commands at runtime.",{"category":73,"check":83,"severity":31,"summary":84},"Sandbox Isolation","The skill operates within its defined scope and does not appear to attempt to modify files outside of its intended domain.",{"category":73,"check":86,"severity":31,"summary":87},"Sandbox escape primitives","No sandbox-escape primitives such as detached processes or retry loops around denied calls were found.",{"category":73,"check":89,"severity":31,"summary":90},"Data Exfiltration","The skill focuses on database schema and does not appear to exfiltrate any confidential data.",{"category":73,"check":92,"severity":31,"summary":93},"Hidden Text Tricks","The bundled files do not contain any hidden text tricks or malicious steering sequences.",{"category":73,"check":95,"severity":31,"summary":96},"Opaque code execution","The skill's code is provided in a clear, readable format and does not use obfuscation techniques.",{"category":98,"check":99,"severity":31,"summary":100},"Portability","Structural Assumption","The skill does not make specific structural assumptions about the user's project organization outside of what's required for database interaction.",{"category":102,"check":103,"severity":53,"summary":104},"Trust","Issues Attention","No issues data is available for this skill.",{"category":106,"check":107,"severity":53,"summary":108},"Versioning","Release Management","No versioning information is present in the manifest or associated files for this skill.",{"category":110,"check":111,"severity":31,"summary":112},"Code Execution","Validation","The skill's interactions with the database tools appear to be constrained and validated by the tool definitions themselves.",{"category":73,"check":114,"severity":53,"summary":115},"Unguarded Destructive Operations","The skill is purely analytical and does not perform any destructive operations.",{"category":110,"check":117,"severity":31,"summary":118},"Error Handling","The skill's structure suggests reliance on underlying tools which should handle errors gracefully, and the examples imply structured responses.",{"category":110,"check":120,"severity":53,"summary":121},"Logging","The skill itself does not implement logging; logging would be handled by the underlying agent framework or tools.",{"category":123,"check":124,"severity":53,"summary":125},"Compliance","GDPR","The skill operates on database schema information and does not handle personal data.",{"category":123,"check":127,"severity":31,"summary":128},"Target market","The skill is database-agnostic and has no regional or jurisdictional logic, making it globally applicable.",{"category":98,"check":130,"severity":31,"summary":131},"Runtime stability","The skill relies on standard SQL database interaction tools and does not appear to have specific OS or shell runtime assumptions.",{"category":47,"check":133,"severity":31,"summary":134},"Precise Purpose","The description clearly defines the skill's purpose (database schema exploration) and provides specific trigger phrases and explicit boundaries for its use.",{"category":47,"check":136,"severity":31,"summary":137},"Concise Frontmatter","The frontmatter is concise and effectively summarizes the skill's core capability and use cases within a reasonable character limit.",{"category":51,"check":139,"severity":31,"summary":140},"Concise Body","The skill body is concise and clearly outlines the workflow, delegating detailed examples and explanations to separate sections.",{"category":142,"check":143,"severity":31,"summary":144},"Context","Progressive Disclosure","The skill uses a clear workflow outline and embeds examples, with further details logically presented within the SKILL.md file.",{"category":142,"check":146,"severity":53,"summary":147},"Forked exploration","This skill is focused on schema exploration and does not involve deep code review or extensive research that would necessitate forked exploration.",{"category":29,"check":149,"severity":31,"summary":150},"Usage examples","Sufficient end-to-end examples are provided, demonstrating input, invocation, and plausible outcomes for common schema exploration tasks.",{"category":29,"check":152,"severity":31,"summary":153},"Edge cases","The skill addresses potential edge cases like identifying relationships and providing recovery steps by suggesting the use of a query-writing skill.",{"category":110,"check":155,"severity":53,"summary":156},"Tool Fallback","The skill relies on underlying SQL database tools and does not have external dependencies like MCP that would require fallbacks.",{"category":98,"check":158,"severity":31,"summary":159},"Stack assumptions","The skill does not make specific stack assumptions beyond general database connectivity and relies on standard SQL interaction tools.",{"category":161,"check":162,"severity":31,"summary":163},"Safety","Halt on unexpected state","The skill's workflow implies that it would halt gracefully if it cannot retrieve schema information or if underlying database operations fail.",{"category":98,"check":165,"severity":31,"summary":166},"Cross-skill coupling","The skill is self-contained and focuses on schema exploration, with explicit suggestions to use a query-writing skill for further tasks rather than implicitly coupling.",1778054030938,"This skill provides tools to list database tables, describe their columns and data types, identify primary and foreign keys, and map entity relationships. It offers concrete examples for common database schema-related questions and guides users on how to proceed with further querying.","2.0.0","3.4.0","The Schema Exploration Skill is a high-quality, well-documented tool that focuses on a specific, practical utility. It adheres to best practices for scope, security, and documentation, with clear examples and a well-defined purpose. The absence of critical or warning findings across all checks places it in the 'verified' tier with a high score.",95,"A well-defined and documented skill for exploring database schemas.",[17,18,19,20,21],"global","verified",{"codeQuality":178,"collectedAt":179,"documentation":180,"maintenance":182,"popularity":183,"security":185,"testCoverage":187},{},1778054019509,{"descriptionLength":181,"readmeSize":8},269,{},{"smitheryUniqueUsers":184,"smitheryUseCount":8},2,{"hasNpmPackage":186,"smitheryVerified":186},false,{"hasCi":186,"hasTests":186},{"updatedAt":189},1778054053159,{"githubOwner":191,"githubRepo":192,"locale":25,"slug":193,"type":194},"langchain-ai","deepagents","schema-exploration","skill",true,null,{"extract":198,"llm":201,"smithery":202},{"commitSha":199,"license":200},"b108c71d0c570e16c7050c1eac482e15dc35a5ed","MIT",{"promptVersionExtension":169,"promptVersionScoring":170,"score":172,"targetMarket":175,"tier":176},{"qualityScore":203,"totalActivations":184,"uniqueUsers":184,"useCount":8,"verified":186},0.69166845,{"repoId":205},"kd76dna2fvfbnjvzcpd2cwqnyd865xz7",{"_creationTime":207,"_id":205,"identity":208,"providers":210,"workflow":229},1777995558409.8704,{"githubOwner":191,"githubRepo":192,"sourceUrl":209},"https://github.com/langchain-ai/deepagents",{"discover":211,"github":215},{"sources":212},[213,214],"skills-sh","smithery",{"closedIssues90d":216,"forks":217,"homepage":218,"license":200,"openIssues90d":219,"pushedAt":220,"readmeSize":221,"stars":222,"topics":223},256,3140,"https://docs.langchain.com/deepagents",142,1778033560000,6232,22320,[192,224,225,226,227,228],"langchain","langgraph","ai","python","typescript",{"discoverAt":230,"extractAt":231,"githubAt":231,"updatedAt":231},1777995558409,1778053970345,{"anyEnrichmentAt":233,"extractAt":234,"githubAt":235,"llmAt":189,"smitheryAt":233,"updatedAt":189},1778053994907,1778053968286,1778053969344,[],[238,261,285,312,345,374],{"_creationTime":239,"_id":240,"community":241,"display":242,"identity":250,"providers":252,"relations":259,"workflow":260},1778053968286.4934,"k172smq0fxy5e4spbwss5n7xes866z8p",{"reviewCount":8},{"description":243,"name":244,"sourceUrl":245,"tags":246},"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",[15,247,18,17,248,249],"coding","query","code-generation",{"githubOwner":191,"githubRepo":192,"locale":25,"slug":251,"type":194},"query-writing",{"extract":253,"llm":254,"smithery":256},{"commitSha":199,"license":200},{"promptVersionExtension":169,"promptVersionScoring":170,"score":255,"targetMarket":175,"tier":176},98,{"qualityScore":257,"totalActivations":258,"uniqueUsers":258,"useCount":8,"verified":186},0.67405933,1,{"repoId":205},{"anyEnrichmentAt":233,"extractAt":234,"githubAt":235,"llmAt":189,"smitheryAt":233,"updatedAt":189},{"_creationTime":262,"_id":263,"community":264,"display":265,"identity":274,"providers":276,"relations":283,"workflow":284},1778053968286.4954,"k179afn14fzy4sejmjf82fgqa9867ck6",{"reviewCount":8},{"description":266,"installMethods":267,"name":268,"sourceUrl":269,"tags":270},"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",[16,15,271,272,227,273],"arxiv","academic-papers","cli",{"githubOwner":191,"githubRepo":192,"locale":25,"slug":275,"type":194},"arxiv-search",{"extract":277,"llm":278,"smithery":279},{"commitSha":199,"license":200},{"promptVersionExtension":169,"promptVersionScoring":170,"score":255,"targetMarket":175,"tier":176},{"qualityScore":280,"totalActivations":281,"uniqueUsers":282,"useCount":8,"verified":186},0.7439563,9,8,{"repoId":205},{"anyEnrichmentAt":233,"extractAt":234,"githubAt":235,"llmAt":189,"smitheryAt":233,"updatedAt":189},{"_creationTime":286,"_id":287,"community":288,"display":289,"identity":298,"providers":302,"relations":306,"workflow":308},1778053622473.659,"k175v48mt9fzh8r2mm6ra7m5gs867jav",{"reviewCount":8},{"description":290,"installMethods":291,"name":292,"sourceUrl":293,"tags":294},"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",[295,16,296,21,297],"verification","hallucination","safety",{"githubOwner":299,"githubRepo":300,"locale":25,"slug":301,"type":194},"jwynia","agent-skills","fact-check",{"extract":303,"llm":305},{"commitSha":304,"license":200},"e02ec7e226a6e4f8419fd3b88a1d8e472d421b32",{"promptVersionExtension":169,"promptVersionScoring":170,"score":255,"targetMarket":175,"tier":176},{"repoId":307},"kd7efn3mprpa8rd8vm5hw5ebzx864fph",{"anyEnrichmentAt":309,"extractAt":310,"githubAt":309,"llmAt":311,"updatedAt":311},1778053625386,1778053622473,1778054012696,{"_creationTime":313,"_id":314,"community":315,"display":316,"identity":330,"providers":333,"relations":338,"workflow":340},1777995620896.9917,"k17231zep11befm3g43rsa1yv5864trn",{"reviewCount":8},{"description":317,"installMethods":318,"name":320,"sourceUrl":321,"tags":322},"Extension from aliengiraffe/spotdb",{"docker":319},"aliengiraffe/spotdb","SpotDB","https://github.com/aliengiraffe/spotdb",[17,18,323,324,325,326,327,328,329],"duckdb","go","data-analysis","sandbox","mcp","api","csv",{"githubOwner":331,"githubRepo":332,"locale":25,"slug":332,"type":194},"aliengiraffe","spotdb",{"extract":334,"llm":336,"smithery":337},{"commitSha":335,"license":200},"cfbbef27f89d18939149790a0fa9ce1ee2c5eac5",{"promptVersionExtension":169,"promptVersionScoring":170,"score":255,"targetMarket":175,"tier":176},{"qualityScore":8,"totalActivations":8,"uniqueUsers":8,"useCount":8,"verified":186},{"repoId":339},"kd72fk7ta378vyy81k8hqp5rs5864hzf",{"anyEnrichmentAt":341,"extractAt":342,"githubAt":343,"llmAt":344,"smitheryAt":341,"updatedAt":344},1777995723550,1777995620897,1777995621254,1777995897177,{"_creationTime":346,"_id":347,"community":348,"display":349,"identity":360,"providers":364,"relations":368,"workflow":370},1778053038365.4294,"k17dzxg978k33s9m01gnm3fced866j31",{"reviewCount":8},{"description":350,"installMethods":351,"name":352,"sourceUrl":353,"tags":354},"Proactively apply when creating APIs, backends, or data models. Triggers on PostgreSQL, Postgres, Drizzle, database, schema, tables, columns, indexes, queries, migrations, ORM, relations, joins, transactions, SQL, drizzle-kit, connection pooling, N+1, JSONB, RLS. Use when writing database schemas, queries, migrations, or any database-related code. PostgreSQL and Drizzle ORM best practices.",{},"PostgreSQL + Drizzle ORM","https://github.com/ccheney/robust-skills/tree/HEAD/skills/postgres-drizzle",[17,355,356,357,19,358,359,18],"postgresql","drizzle","orm","queries","migrations",{"githubOwner":361,"githubRepo":362,"locale":25,"slug":363,"type":194},"ccheney","robust-skills","postgres-drizzle",{"extract":365,"llm":367},{"commitSha":366,"license":200},"85e5e2698d9753fb690666ccd59598e8a0b6f004",{"promptVersionExtension":169,"promptVersionScoring":170,"score":172,"targetMarket":175,"tier":176},{"repoId":369},"kd75qepasjckthmb72881rzdj58655g4",{"anyEnrichmentAt":371,"extractAt":372,"githubAt":371,"llmAt":373,"updatedAt":373},1778053039088,1778053038365,1778053066880,{"_creationTime":375,"_id":376,"community":377,"display":378,"identity":388,"providers":392,"relations":397,"workflow":399},1778054663200.0642,"k178jkv62dxgr3st4e5gj02bfs866ej6",{"reviewCount":8},{"description":379,"installMethods":380,"name":381,"sourceUrl":382,"tags":383},"Design optimized database schemas for SQL and NoSQL databases including tables, relationships, indexes, and constraints. Creates ERD diagrams, migration scripts, and data modeling best practices. Use when users need database design, schema optimization, or data architecture planning.",{},"Database Schema Designer","https://github.com/onewave-ai/claude-skills/tree/HEAD/database-schema-designer",[17,18,384,19,385,386,387],"nosql","erd","migration","data-modeling",{"githubOwner":389,"githubRepo":390,"locale":25,"slug":391,"type":194},"onewave-ai","claude-skills","database-schema-designer",{"extract":393,"llm":395},{"commitSha":394,"license":200},"eb3d80be32b6cafcf0d5df1c1b8a95df75838271",{"promptVersionExtension":169,"promptVersionScoring":170,"score":396,"targetMarket":175,"tier":176},92,{"repoId":398},"kd71e43dj0b7ak5e55pyshxp4n864t6p",{"anyEnrichmentAt":400,"extractAt":401,"githubAt":400,"llmAt":402,"updatedAt":402},1778054667983,1778054663200,1778055270278]