[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-bytebase-dbhub-en":3,"guides-for-bytebase-dbhub":365,"similar-k17a9cav35ya4h38sccx3r3d5d86mr2y-en":366},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":256,"isFallback":245,"parentExtension":260,"providers":261,"relations":266,"repo":268,"tags":361,"workflow":362},1778683522639.4817,"k17a9cav35ya4h38sccx3r3d5d86mr2y",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"Guide for querying databases through DBHub MCP server. Use this skill whenever you need to explore database schemas, inspect tables, or run SQL queries via DBHub's MCP tools (search_objects, execute_sql). Activates on any database query task, schema exploration, data retrieval, or SQL execution through MCP — even if the user just says \"check the database\" or \"find me some data.\" This skill ensures you follow the correct explore-first workflow instead of guessing table structures.",{"claudeCode":12},"bytebase/dbhub","DBHub Database Query Guide","https://github.com/bytebase/dbhub",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":235,"workflow":254},1778683601748.4875,"kn7a9akj7435pqqfrv9gvbagnd86n6p2","en",{"checks":20,"evaluatedAt":192,"extensionSummary":193,"features":194,"nonGoals":200,"practices":205,"prerequisites":209,"promptVersionExtension":210,"promptVersionScoring":211,"purpose":212,"rationale":213,"score":214,"summary":215,"tags":216,"targetMarket":223,"tier":224,"useCases":225,"workflow":230},[21,26,29,33,37,41,45,48,52,56,60,63,66,69,73,76,79,82,85,88,92,96,99,103,106,109,112,115,118,121,125,128,132,136,140,143,146,149,153,156,159,162,165,168,171,175,179,182,185,189],{"category":22,"check":23,"severity":24,"summary":25},"Invocation","Precise Purpose","pass","The description clearly states what the skill does (query databases via DBHub MCP server) and when to use it (any database query task, schema exploration, etc.), including explicit non-goals and workflow guidance.",{"category":22,"check":27,"severity":24,"summary":28},"Concise Frontmatter","The frontmatter is concise, clearly stating the core capability and providing specific trigger phrases within the character limit.",{"category":30,"check":31,"severity":24,"summary":32},"Documentation","Concise Body","The SKILL.md content is concise, well-organized, and delegates deeper material to separate files (though none were provided in the context, the structure implies this). It stays well under the token limit for the main instruction.",{"category":34,"check":35,"severity":24,"summary":36},"Context","Progressive Disclosure","The SKILL.md outlines a clear workflow and appropriately uses tables and code blocks for progressive disclosure of information, referring to external concepts like tool parameters and multi-database setups.",{"category":34,"check":38,"severity":39,"summary":40},"Forked exploration","not_applicable","The skill focuses on a well-defined workflow of database exploration and querying, which does not inherently involve deep, unsummarized exploration that would necessitate `context: fork`.",{"category":42,"check":43,"severity":24,"summary":44},"Practical Utility","Usage examples","The SKILL.md provides clear, runnable examples for each major capability, demonstrating input, invocation, and expected outcomes.",{"category":42,"check":46,"severity":24,"summary":47},"Edge cases","The SKILL.md documents several failure modes (e.g., unknown table/column, schema errors, permission errors, multiple statements) with observable symptoms and recovery steps.",{"category":49,"check":50,"severity":39,"summary":51},"Code Execution","Tool Fallback","The skill relies on Claude-internal tools (MCP server with specific tools) and does not appear to have optional external tool dependencies with fallbacks.",{"category":53,"check":54,"severity":24,"summary":55},"Safety","Halt on unexpected state","The SKILL.md explicitly instructs to use `search_objects` to verify schema and table names before executing SQL, thereby halting on unexpected states like incorrect identifiers.",{"category":57,"check":58,"severity":24,"summary":59},"Portability","Cross-skill coupling","The skill is self-contained, focusing on database interaction via DBHub MCP tools, and does not implicitly rely on other skills. It clearly defines its scope.",{"category":42,"check":61,"severity":24,"summary":62},"Problem relevance","The description clearly names the problem of guessing database structures and highlights the 'explore-then-query' workflow as the solution for users needing to explore schemas or run SQL.",{"category":42,"check":64,"severity":24,"summary":65},"Unique selling proposition","The skill provides a structured 'explore-then-query' workflow and specific tool usage guidance for database interaction via DBHub MCP, offering significant value over generic SQL prompting.",{"category":42,"check":67,"severity":24,"summary":68},"Production readiness","The skill is production-ready, with clear documentation on tools, workflow, and error recovery, and its MCP tools (`search_objects`, `execute_sql`) are suitable for real-world database exploration and querying.",{"category":70,"check":71,"severity":24,"summary":72},"Scope","Single responsibility principle","The skill has a single, well-defined responsibility: guiding database interaction through DBHub's MCP server, covering schema exploration and SQL execution.",{"category":70,"check":74,"severity":24,"summary":75},"Description quality","The description is accurate, concise, and clearly reflects the skill's capabilities and intended use, including specific tool mentions and workflow guidance.",{"category":22,"check":77,"severity":24,"summary":78},"Scoped tools","The MCP tools (`search_objects`, `execute_sql`) are specific verb-noun specialists for database operations. The documentation also clarifies how multi-database setups lead to source-specific tool names.",{"category":30,"check":80,"severity":24,"summary":81},"Configuration & parameter reference","The SKILL.md clearly documents the available tools (`search_objects`, `execute_sql`), their parameters (e.g., `object_type`, `schema`, `pattern`, `detail_level`, `sql`), and the purpose of `detail_level` options.",{"category":70,"check":83,"severity":24,"summary":84},"Tool naming","Tool names (`search_objects`, `execute_sql`) are descriptive verb-noun combinations within the database domain.",{"category":70,"check":86,"severity":24,"summary":87},"Minimal I/O surface","Tool parameters are well-defined (e.g., `object_type`, `schema`, `table`, `pattern`, `detail_level`, `sql`) and appear to request only necessary data. Responses are expected to be structured database information.",{"category":89,"check":90,"severity":24,"summary":91},"License","License usability","The extension is licensed under the MIT license, which is a permissive open-source license.",{"category":93,"check":94,"severity":24,"summary":95},"Maintenance","Commit recency","The last commit was on April 21, 2026, which is within the last 90 days from the current date of May 13, 2026.",{"category":93,"check":97,"severity":39,"summary":98},"Dependency Management","The extension appears to be a self-contained skill using MCP tools, with no external third-party dependencies explicitly mentioned that would require a lockfile or update mechanism.",{"category":100,"check":101,"severity":24,"summary":102},"Security","Secret Management","The extension does not appear to handle or expose secrets directly. It interacts with a DBHub MCP server, which would manage its own database credentials.",{"category":100,"check":104,"severity":24,"summary":105},"Injection","The skill's workflow emphasizes using structured tools like `search_objects` and `execute_sql` with specific parameters, and the SKILL.md guides against directly executing arbitrary SQL without understanding the schema, mitigating injection risks.",{"category":100,"check":107,"severity":24,"summary":108},"Transitive Supply-Chain Grenades","The extension operates within the defined bundle and interacts with an MCP server via structured tool calls. There's no evidence of runtime downloads or execution of external, uncommitted code.",{"category":100,"check":110,"severity":24,"summary":111},"Sandbox Isolation","The skill's operations are confined to tool calls to the DBHub MCP server, which itself is responsible for interacting with databases. The skill itself does not modify files or paths outside its intended scope.",{"category":100,"check":113,"severity":24,"summary":114},"Sandbox escape primitives","The skill utilizes structured tool calls and does not employ any detached-process spawns or deny-retry loops that could facilitate sandbox escape.",{"category":100,"check":116,"severity":24,"summary":117},"Data Exfiltration","The skill's purpose is to query databases, not to exfiltrate confidential data. Outbound calls are implicitly managed by the MCP server's interaction with the database, not by the skill itself sending data to arbitrary third parties.",{"category":100,"check":119,"severity":24,"summary":120},"Hidden Text Tricks","The bundled content (SKILL.md) is clean, uses standard Markdown and code blocks, and contains no hidden steering characters or tricks.",{"category":122,"check":123,"severity":24,"summary":124},"Hooks","Opaque code execution","The skill's logic is defined in human-readable Markdown with tool calls, and there is no evidence of obfuscated code, base64 payloads, or runtime script fetching.",{"category":57,"check":126,"severity":24,"summary":127},"Structural Assumption","The skill makes no structural assumptions about the user's project layout beyond expecting a configured DBHub MCP server, and its instructions guide the user on how to interact with it.",{"category":129,"check":130,"severity":24,"summary":131},"Trust","Issues Attention","22 issues opened and 30 closed in 90 days indicates a healthy maintenance pace and responsiveness, with a closure rate likely above 50%.",{"category":133,"check":134,"severity":24,"summary":135},"Versioning","Release Management","The project has a versioning signal (pushedAt date) and the presence of a `pnpm` setup suggests package management, implying meaningful versioning practices, though an explicit version number isn't in the provided SKILL.md.",{"category":137,"check":138,"severity":24,"summary":139},"Execution","Validation","The SKILL.md guides users to use specific parameters and structured tools, implicitly promoting validation. The DBHub MCP server itself would handle robust validation of SQL and schema operations.",{"category":100,"check":141,"severity":24,"summary":142},"Unguarded Destructive Operations","The skill's primary operations are read-only exploration and SQL execution. While `execute_sql` can be destructive, the workflow emphasizes an 'explore-then-query' pattern and error recovery, implying a focus on safe operations rather than direct destructive commands without checks.",{"category":49,"check":144,"severity":24,"summary":145},"Error Handling","The SKILL.md provides specific error recovery steps for common issues like unknown tables, schema errors, and permission errors, guiding the agent on how to handle failures.",{"category":49,"check":147,"severity":39,"summary":148},"Logging","The skill itself does not perform logging; this responsibility lies with the MCP server or the agent framework it operates within. The skill focuses on defining the interaction logic.",{"category":150,"check":151,"severity":24,"summary":152},"Compliance","GDPR","The skill interacts with database schemas and data, but does not inherently operate on personal data without sanitization. Its purpose is to query existing data structures, and any personal data would be handled by the underlying database and MCP server.",{"category":150,"check":154,"severity":24,"summary":155},"Target market","The extension is designed for general database interaction and is not tied to any specific geography or legal jurisdiction. It supports multiple common database types globally.",{"category":57,"check":157,"severity":24,"summary":158},"Runtime stability","The skill relies on standard MCP tool calls to an MCP server, which is designed to be portable. It does not make assumptions about specific editors, shells, or operating systems.",{"category":30,"check":160,"severity":24,"summary":161},"README","The README file exists and provides a comprehensive overview of DBHub, its installation, MCP tools, and supported databases, complementing the SKILL.md.",{"category":70,"check":163,"severity":24,"summary":164},"Tool surface size","The skill directly exposes two primary tools (`search_objects` and `execute_sql`) and implicitly handles their source-specific variants, fitting within the ideal range.",{"category":22,"check":166,"severity":24,"summary":167},"Overlapping near-synonym tools","The skill uses distinct tools (`search_objects` for exploration and `execute_sql` for running statements), avoiding near-synonym redundancy.",{"category":30,"check":169,"severity":24,"summary":170},"Phantom features","All advertised capabilities (querying databases via DBHub MCP, using `search_objects` and `execute_sql`) are implemented and clearly described in the SKILL.md and README.",{"category":172,"check":173,"severity":24,"summary":174},"Install","Installation instruction","The README provides clear installation instructions for Docker and NPM, including copy-pasteable commands and notes on multi-database setup and demo mode.",{"category":176,"check":177,"severity":24,"summary":178},"Errors","Actionable error messages","The SKILL.md provides actionable advice for common errors, such as using `search_objects` for unknown tables/columns and checking permissions for permission errors.",{"category":137,"check":180,"severity":39,"summary":181},"Pinned dependencies","The skill itself does not bundle scripts with specific interpreter dependencies or side effects that require pinning. It relies on the MCP server and the agent's execution environment.",{"category":70,"check":183,"severity":39,"summary":184},"Dry-run preview","The skill's primary operations are database exploration and querying. While `execute_sql` can be destructive, the focus is on safe, controlled query execution and exploration, not direct infrastructure changes where dry-run is typically essential.",{"category":186,"check":187,"severity":39,"summary":188},"Protocol","Idempotent retry & timeouts","The skill defines interaction logic with an MCP server. Idempotency, retries, and timeouts are concerns of the MCP server implementation and the agent's tool execution layer, not directly handled by the skill's logic.",{"category":150,"check":190,"severity":24,"summary":191},"Telemetry opt-in","There is no indication that this skill emits telemetry. Its function is to interact with a database via an MCP server, and telemetry concerns would lie with the agent or server implementation.",1778683600505,"This skill guides users on how to query databases through the DBHub MCP server, offering tools for exploring schemas (`search_objects`) and executing SQL queries (`execute_sql`). It supports multiple database types and connections.",[195,196,197,198,199],"Explore database schemas with `search_objects`","Execute SQL queries with `execute_sql`","Supports multiple databases and connections","Guides an 'explore-then-query' workflow","Provides error recovery steps for common database issues",[201,202,203,204],"Guessing table or column names without verification","Dumping entire schemas upfront without progressive disclosure","Using the wrong tool in multi-database setups","Blindly retrying failed queries without investigation",[206,207,208],"Database schema exploration","SQL query execution","Safe database interaction workflow",[],"3.0.0","4.4.0","To enable users to safely and efficiently explore database schemas and run SQL queries using DBHub's MCP tools, preventing common errors and promoting a structured workflow.","The extension received a perfect score with no critical, warning, or info findings, indicating high quality and adherence to best practices.",100,"Excellent skill for interacting with databases via DBHub MCP, providing a structured and safe workflow.",[217,218,219,220,221,222],"database","sql","query","schema","mcp","bytebase","global","verified",[226,227,228,229],"When needing to understand a database structure before writing a query","When asked to retrieve specific data from a database","When needing to run a specific SQL statement against a database","When encountering errors during database operations",[231,232,233,234],"Discover available schemas","Find relevant tables using patterns if necessary","Inspect table structure (columns, indexes)","Write and execute the precise SQL query",{"codeQuality":236,"collectedAt":238,"documentation":239,"maintenance":242,"popularity":249,"security":251,"testCoverage":253},{"hasLockfile":237},true,1778683567845,{"descriptionLength":240,"readmeSize":241},484,5539,{"closedIssues90d":243,"forks":244,"hasChangelog":245,"openIssues90d":246,"pushedAt":247,"stars":248},30,232,false,2,1776768933000,2745,{"npmDownloads":250},117,{"hasNpmPackage":237,"license":252,"smitheryVerified":245},"MIT",{"hasCi":237,"hasTests":237},{"updatedAt":255},1778683601748,{"basePath":257,"githubOwner":222,"githubRepo":258,"locale":18,"slug":258,"type":259},"skills/dbhub","dbhub","skill",null,{"evaluate":262,"extract":264},{"promptVersionExtension":210,"promptVersionScoring":211,"score":214,"tags":263,"targetMarket":223,"tier":224},[217,218,219,220,221,222],{"commitSha":265,"license":252},"HEAD",{"repoId":267},"kd75gz890g3h6zj0xf3qtbrdjd86mpw3",{"_creationTime":269,"_id":267,"identity":270,"providers":271,"workflow":356},1778683515127.8374,{"githubOwner":222,"githubRepo":258,"sourceUrl":14},{"classify":272,"discover":330,"extract":333,"github":334,"npm":355},{"commitSha":265,"extensions":273},[274,285,293,298],{"basePath":275,"description":276,"displayName":277,"installMethods":278,"rationale":279,"selectedPaths":280,"source":284,"sourceLanguage":18,"type":259},".claude/skills/fix-bug","Use when given a GitHub issue URL or number to investigate and implement a fix. Triggers on \"fix issue\", \"fix bug\", \"fix","fix-bug",{"claudeCode":12},"SKILL.md frontmatter at .claude/skills/fix-bug/SKILL.md",[281],{"path":282,"priority":283},"SKILL.md","mandatory","rule",{"basePath":286,"description":287,"displayName":288,"installMethods":289,"rationale":290,"selectedPaths":291,"source":284,"sourceLanguage":18,"type":259},".claude/skills/testing","Run and troubleshoot tests for DBHub, including unit tests, integration tests with Testcontainers, and database-specific tests. Use when asked to run tests, fix test failures, debug integration tests, troubleshoot Docker/database container issues, or add new tests. Also use when verifying code changes work correctly or when CI test failures need investigation.","testing",{"claudeCode":12},"SKILL.md frontmatter at .claude/skills/testing/SKILL.md",[292],{"path":282,"priority":283},{"basePath":257,"description":10,"displayName":258,"installMethods":294,"rationale":295,"selectedPaths":296,"source":284,"sourceLanguage":18,"type":259},{"claudeCode":12},"SKILL.md frontmatter at skills/dbhub/SKILL.md",[297],{"path":282,"priority":283},{"basePath":299,"description":300,"displayName":258,"installMethods":301,"license":252,"rationale":302,"selectedPaths":303,"source":284,"sourceLanguage":18,"type":221},"","Minimal, token-efficient Database MCP Server for PostgreSQL, MySQL, SQL Server, SQLite, MariaDB",{"npm":258},"server.json with namespace/server name at server.json",[304,306,308,310,313,316,318,320,322,324,326,328],{"path":305,"priority":283},"server.json",{"path":307,"priority":283},"package.json",{"path":309,"priority":283},"README.md",{"path":311,"priority":312},"LICENSE","high",{"path":314,"priority":315},"src/index.ts","low",{"path":317,"priority":315},"src/server.ts",{"path":319,"priority":315},"src/tools/builtin-tools.ts",{"path":321,"priority":315},"src/tools/custom-tool-handler.ts",{"path":323,"priority":315},"src/tools/execute-sql.ts",{"path":325,"priority":315},"src/tools/index.ts",{"path":327,"priority":315},"src/tools/registry.ts",{"path":329,"priority":315},"src/tools/search-objects.ts",{"sources":331},[332],"manual",{"npmPackage":258},{"closedIssues90d":243,"description":335,"forks":244,"homepage":336,"license":252,"openIssues90d":246,"pushedAt":247,"readmeSize":241,"stars":248,"topics":337},"Zero-dependency, token-efficient database MCP server for Postgres, MySQL, SQL Server, MariaDB, SQLite.","https://dbhub.ai",[338,339,340,217,221,341,342,343,344,345,346,347,348,349,350,351,352,218,353,354],"ai","anthropic","claude","mcp-server","claude-ai","mysql","postgres","sqlserver","cursor","mariadb","dify","sqlite","codex","llm","mssql","postgresql","agents",{"downloads":250},{"classifiedAt":357,"discoverAt":358,"extractAt":359,"githubAt":359,"npmAt":360,"updatedAt":357},1778683522443,1778683515127,1778683518768,1778683521062,[222,217,221,219,220,218],{"evaluatedAt":255,"extractAt":363,"updatedAt":364},1778683522639,1778683734542,[],[367,395,424,450,471,493],{"_creationTime":368,"_id":369,"community":370,"display":371,"identity":377,"providers":381,"relations":389,"tags":391,"workflow":392},1778682862751.9475,"k177bn4hpsv2417q7fvbdtwav586ny65",{"reviewCount":8},{"description":372,"installMethods":373,"name":375,"sourceUrl":376},"Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL migration, DDL operations, query plan explainability, and SQL compatibility validation. Triggers on phrases like: DSQL, Aurora DSQL, create DSQL table, DSQL schema, migrate to DSQL, distributed SQL database, serverless PostgreSQL-compatible database, DSQL query plan, DSQL EXPLAIN ANALYZE, why is my DSQL query slow.",{"claudeCode":374},"awslabs/mcp","dsql","https://github.com/awslabs/mcp",{"basePath":378,"githubOwner":379,"githubRepo":221,"locale":18,"slug":380,"type":259},"src/aurora-dsql-mcp-server/skills/dsql-skill","awslabs","dsql-skill",{"evaluate":382,"extract":388},{"promptVersionExtension":210,"promptVersionScoring":211,"score":214,"tags":383,"targetMarket":223,"tier":224},[217,218,384,385,375,386,220,219,387],"aws","aurora","migration","performance",{"commitSha":265},{"repoId":390},"kd71cq56hfddetnwspw92kb09x86mbzy",[385,384,217,375,386,387,219,220,218],{"evaluatedAt":393,"extractAt":394,"updatedAt":393},1778682978663,1778682862752,{"_creationTime":396,"_id":397,"community":398,"display":399,"identity":405,"providers":409,"relations":417,"tags":420,"workflow":421},1778696691708.3264,"k179thjzaw5kepc7zhdj9sat3n86mcqp",{"reviewCount":8},{"description":400,"installMethods":401,"name":403,"sourceUrl":404},"Validate pending migrations for foreign key consistency, rollback safety, and best practices",{"claudeCode":402},"ruvnet/ruflo","migrate-validate","https://github.com/ruvnet/ruflo",{"basePath":406,"githubOwner":407,"githubRepo":408,"locale":18,"slug":403,"type":259},"plugins/ruflo-migrations/skills/migrate-validate","ruvnet","ruflo",{"evaluate":410,"extract":416},{"promptVersionExtension":210,"promptVersionScoring":211,"score":214,"tags":411,"targetMarket":223,"tier":224},[217,412,218,413,414,415],"migrations","validation","code-quality","developer-tools",{"commitSha":265},{"parentExtensionId":418,"repoId":419},"k176me0sh9b6bc3gzttnywx4w986njzh","kd7ed28gj8n0y3msk5dzrp05zs86nqtc",[414,217,415,412,218,413],{"evaluatedAt":422,"extractAt":423,"updatedAt":422},1778701008912,1778696691708,{"_creationTime":425,"_id":426,"community":427,"display":428,"identity":434,"providers":438,"relations":444,"tags":446,"workflow":447},1778687399826.0325,"k17269dg7c9710vn40ysst9cbx86nekj",{"reviewCount":8},{"description":429,"installMethods":430,"name":432,"sourceUrl":433},"Universal SQL performance optimization assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Provides execution plan analysis, pagination optimization, batch operations, and performance monitoring guidance.",{"claudeCode":431},"github/awesome-copilot","sql-optimization","https://github.com/github/awesome-copilot",{"basePath":435,"githubOwner":436,"githubRepo":437,"locale":18,"slug":432,"type":259},"skills/sql-optimization","github","awesome-copilot",{"evaluate":439,"extract":443},{"promptVersionExtension":210,"promptVersionScoring":211,"score":214,"tags":440,"targetMarket":223,"tier":224},[218,387,441,217,442],"optimization","tuning",{"commitSha":265},{"repoId":445},"kd7dsmv976w8rtkqnjjfdtfgks86nnmw",[217,441,387,218,442],{"evaluatedAt":448,"extractAt":449,"updatedAt":448},1778689968064,1778687399826,{"_creationTime":451,"_id":452,"community":453,"display":454,"identity":458,"providers":461,"relations":467,"tags":468,"workflow":469},1778696691708.3262,"k1792609x2wgqvr4hn475k9xf186nene",{"reviewCount":8},{"description":455,"installMethods":456,"name":457,"sourceUrl":404},"Create a new sequentially numbered database migration with up/down SQL files",{"claudeCode":402},"Migrate Create",{"basePath":459,"githubOwner":407,"githubRepo":408,"locale":18,"slug":460,"type":259},"plugins/ruflo-migrations/skills/migrate-create","migrate-create",{"evaluate":462,"extract":466},{"promptVersionExtension":210,"promptVersionScoring":211,"score":463,"tags":464,"targetMarket":223,"tier":224},99,[217,386,218,465,415],"code-generation",{"commitSha":265,"license":252},{"parentExtensionId":418,"repoId":419},[465,217,415,386,218],{"evaluatedAt":470,"extractAt":423,"updatedAt":470},1778700989154,{"_creationTime":472,"_id":473,"community":474,"display":475,"identity":479,"providers":481,"relations":488,"tags":490,"workflow":491},1778696691708.3108,"k174bsewq8k21t0bg3rrzcxkcd86mrgx",{"reviewCount":8},{"description":476,"installMethods":477,"name":478,"sourceUrl":404},"Query AgentDB through the controller bridge -- semantic routing, hierarchical recall, causal graphs, context synthesis, pattern store/search",{"claudeCode":402},"agentdb-query",{"basePath":480,"githubOwner":407,"githubRepo":408,"locale":18,"slug":478,"type":259},"plugins/ruflo-agentdb/skills/agentdb-query",{"evaluate":482,"extract":487},{"promptVersionExtension":210,"promptVersionScoring":211,"score":463,"tags":483,"targetMarket":223,"tier":224},[484,217,219,485,486,221,351],"agentdb","search","knowledge-graph",{"commitSha":265},{"parentExtensionId":489,"repoId":419},"k1702kbgkcgg2way9x5303rpr186n62a",[484,217,486,351,221,219,485],{"evaluatedAt":492,"extractAt":423,"updatedAt":492},1778699766010,{"_creationTime":494,"_id":495,"community":496,"display":497,"identity":503,"providers":507,"relations":513,"tags":516,"workflow":517},1778696833339.6248,"k1704jzrc3jb9sv90n1mpz61hn86n2pp",{"reviewCount":8},{"description":498,"installMethods":499,"name":501,"sourceUrl":502},"Execute read-only SQL queries against multiple MySQL databases. Use when: (1) querying MySQL databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database contents. Supports multiple database connections with descriptions for intelligent auto-selection. Blocks all write operations (INSERT, UPDATE, DELETE, DROP, etc.) for safety.",{"claudeCode":500},"sanjay3290/ai-skills","MySQL Read-Only Query Skill","https://github.com/sanjay3290/ai-skills",{"basePath":504,"githubOwner":505,"githubRepo":506,"locale":18,"slug":343,"type":259},"skills/mysql","sanjay3290","ai-skills",{"evaluate":508,"extract":511},{"promptVersionExtension":210,"promptVersionScoring":211,"score":463,"tags":509,"targetMarket":223,"tier":224},[218,343,217,219,510],"read-only",{"commitSha":265,"license":512},"Apache-2.0",{"parentExtensionId":514,"repoId":515},"k17es37z10n1sw6t2m3f0vsydx86mnje","kd71np0fyqg23qg8w2hcfw0h0h86nkn0",[217,343,219,510,218],{"evaluatedAt":518,"extractAt":519,"updatedAt":518},1778697138135,1778696833339]