[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-mongodb-mongodb-query-optimizer-en":3,"guides-for-mongodb-mongodb-query-optimizer":513,"similar-k174ycv084h7yf3jtsjkctagah86n469-en":514},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":241,"isFallback":226,"parentExtension":245,"providers":301,"relations":305,"repo":306,"tags":510,"workflow":511},1778694149049.3474,"k174ycv084h7yf3jtsjkctagah86n469",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"Help with MongoDB query optimization and indexing. Use only when the user asks for optimization or performance: \"How do I optimize this query?\", \"How do I index this?\", \"Why is this query slow?\", \"Can you fix my slow queries?\", \"What are the slow queries on my cluster?\", etc. Do not invoke for general MongoDB query writing unless user asks for performance or index help. Prefer indexing as optimization strategy. Use MongoDB MCP when available.",{"claudeCode":12},"mongodb/agent-skills","mongodb-query-optimizer","https://github.com/mongodb/agent-skills",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":224,"workflow":239},1778694289368.2407,"kn7fvwdqrd434hsnpn2374prr586mpkp","en",{"checks":20,"evaluatedAt":192,"extensionSummary":193,"features":194,"nonGoals":200,"promptVersionExtension":204,"promptVersionScoring":205,"purpose":206,"rationale":207,"score":208,"summary":209,"tags":210,"targetMarket":217,"tier":218,"useCases":219},[21,26,29,32,36,39,43,47,50,53,57,61,65,69,72,75,78,81,84,87,91,95,99,103,107,110,114,117,121,124,127,130,133,136,139,143,147,150,153,157,160,163,166,169,173,176,179,182,185,189],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","The description clearly names the problem of MongoDB query optimization and indexing, and specifies when to use the skill with concrete examples.",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","The skill offers significant value beyond a basic LLM by providing specific MongoDB MCP tools and structured analysis for performance tuning, which is more than a thin wrapper.",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","The skill is production-ready, covering the complete lifecycle of query optimization from identifying slow queries to suggesting index creation, with clear fallbacks.",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","The skill focuses solely on MongoDB query optimization and indexing, adhering to a single, well-defined domain.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The description accurately reflects the skill's capabilities and limitations, providing clear triggers and non-goals.",{"category":40,"check":41,"severity":24,"summary":42},"Invocation","Scoped tools","The skill utilizes narrow, verb-noun specific tools like `collection-indexes`, `explain`, and `atlas-get-performance-advisor`.",{"category":44,"check":45,"severity":24,"summary":46},"Documentation","Configuration & parameter reference","The documentation clearly outlines the arguments for each MCP tool, including required and optional parameters.",{"category":33,"check":48,"severity":24,"summary":49},"Tool naming","All tool names are descriptive and adhere to the `verb-noun` convention.",{"category":33,"check":51,"severity":24,"summary":52},"Minimal I/O surface","Tool parameters are specific and documented, and responses are focused on the requested information, avoiding extraneous data.",{"category":54,"check":55,"severity":24,"summary":56},"License","License usability","The extension is licensed under the Apache-2.0 license, which is a permissive open-source license.",{"category":58,"check":59,"severity":24,"summary":60},"Maintenance","Commit recency","The last commit was on May 11, 2026, indicating recent maintenance.",{"category":58,"check":62,"severity":63,"summary":64},"Dependency Management","not_applicable","No third-party dependencies were detected.",{"category":66,"check":67,"severity":24,"summary":68},"Security","Secret Management","Secrets are not directly used or exposed in the provided code snippets. Configuration is expected to be handled externally.",{"category":66,"check":70,"severity":24,"summary":71},"Injection","The skill appears to handle external data as input parameters for tools, rather than executing arbitrary code or instructions.",{"category":66,"check":73,"severity":24,"summary":74},"Transitive Supply-Chain Grenades","The skill does not appear to fetch external content at runtime or use remote-pipe-to-shell patterns.",{"category":66,"check":76,"severity":24,"summary":77},"Sandbox Isolation","The skill operates on data and tool calls within its defined scope, not attempting to modify files outside its project folder.",{"category":66,"check":79,"severity":24,"summary":80},"Sandbox escape primitives","No detached-process spawns or deny-retry loops were detected in the provided code.",{"category":66,"check":82,"severity":24,"summary":83},"Data Exfiltration","The skill does not instruct the agent to read or submit confidential data to third parties.",{"category":66,"check":85,"severity":24,"summary":86},"Hidden Text Tricks","The bundled content is free of hidden-steering tricks and uses clean printable ASCII.",{"category":88,"check":89,"severity":24,"summary":90},"Hooks","Opaque code execution","The bundled scripts are plain and readable, with no obfuscation detected.",{"category":92,"check":93,"severity":24,"summary":94},"Portability","Structural Assumption","The skill uses relative paths and documentation for prerequisites, avoiding assumptions about user-specific project layouts.",{"category":96,"check":97,"severity":24,"summary":98},"Trust","Issues Attention","There are 0 open and 0 closed issues in the last 90 days, indicating no current maintenance engagement issues.",{"category":100,"check":101,"severity":24,"summary":102},"Versioning","Release Management","The README indicates installation via GitHub repository, and SKILL.md frontmatter implies versioning through its structure, although no explicit version number is present.",{"category":104,"check":105,"severity":24,"summary":106},"Execution","Validation","The MCP tool arguments appear to be well-defined and validated by the tool definitions themselves.",{"category":66,"check":108,"severity":24,"summary":109},"Unguarded Destructive Operations","The skill's primary operations involve analysis and suggestion, not destructive actions, therefore no confirmation gate is needed.",{"category":111,"check":112,"severity":24,"summary":113},"Code Execution","Error Handling","The skill provides structured tool definitions and clear fallback paths, suggesting robust error handling by the MCP server.",{"category":111,"check":115,"severity":63,"summary":116},"Logging","The skill primarily interacts with the MCP server and does not perform destructive actions or outbound calls that would require local audit logging.",{"category":118,"check":119,"severity":24,"summary":120},"Compliance","GDPR","The skill operates on database queries and performance metrics, not personal data.",{"category":118,"check":122,"severity":24,"summary":123},"Target market","The skill is globally applicable to MongoDB users and does not exhibit regional restrictions.",{"category":92,"check":125,"severity":24,"summary":126},"Runtime stability","The skill relies on the MCP server and standard MongoDB connections, indicating broad platform compatibility.",{"category":44,"check":128,"severity":24,"summary":129},"README","The README file provides installation and configuration instructions, and a general overview of the skills.",{"category":33,"check":131,"severity":24,"summary":132},"Tool surface size","The skill exposes a reasonable number of tools (around 5) related to MongoDB query optimization.",{"category":40,"check":134,"severity":24,"summary":135},"Overlapping near-synonym tools","The tools exposed by the skill have distinct functions and do not present near-synonyms that would cause ambiguity.",{"category":44,"check":137,"severity":24,"summary":138},"Phantom features","All advertised features related to MongoDB query optimization and indexing are supported by the MCP tools described.",{"category":140,"check":141,"severity":24,"summary":142},"Install","Installation instruction","The README provides detailed installation instructions for various platforms and mentions authentication requirements.",{"category":144,"check":145,"severity":24,"summary":146},"Errors","Actionable error messages","The skill's documentation describes tool arguments and expected behavior, implying that errors from the MCP server will be informative.",{"category":104,"check":148,"severity":63,"summary":149},"Pinned dependencies","The skill does not appear to bundle or rely on third-party scripts with specific interpreter or side-effect declarations.",{"category":33,"check":151,"severity":63,"summary":152},"Dry-run preview","The skill is primarily analytical and does not perform state-changing operations that would require a dry-run mode.",{"category":154,"check":155,"severity":24,"summary":156},"Protocol","Idempotent retry & timeouts","The skill relies on the MCP server's tools, which are expected to handle timeouts and idempotency where applicable.",{"category":118,"check":158,"severity":24,"summary":159},"Telemetry opt-in","No telemetry is emitted by this skill; it operates solely on user-provided data and MongoDB interaction.",{"category":40,"check":161,"severity":24,"summary":162},"Precise Purpose","The description clearly defines the skill's purpose (MongoDB query optimization/indexing) and its precise invocation triggers and non-goals.",{"category":40,"check":164,"severity":24,"summary":165},"Concise Frontmatter","The frontmatter is concise and effectively summarizes the core capability and its usage.",{"category":44,"check":167,"severity":24,"summary":168},"Concise Body","The SKILL.md body is well-structured, uses progressive disclosure for references, and stays within a reasonable token limit.",{"category":170,"check":171,"severity":24,"summary":172},"Context","Progressive Disclosure","Detailed procedures and principles are appropriately split into separate reference files (`.md`) and linked from the main SKILL.md.",{"category":170,"check":174,"severity":63,"summary":175},"Forked exploration","The skill is not designed for deep exploration or code review; its workflow is direct and analytical.",{"category":22,"check":177,"severity":24,"summary":178},"Usage examples","The SKILL.md provides clear, end-to-end examples for specific query optimization and general performance help workflows, including tool invocations and expected outcomes.",{"category":22,"check":180,"severity":24,"summary":181},"Edge cases","The skill documents failure modes and limitations, such as missing MCP server configuration and provides recovery steps.",{"category":111,"check":183,"severity":24,"summary":184},"Tool Fallback","The skill outlines fallback paths when MCP tools are unavailable, such as suggesting indexes based on query shape alone.",{"category":186,"check":187,"severity":24,"summary":188},"Safety","Halt on unexpected state","The skill's workflow is designed to halt and inform the user if necessary prerequisites like MCP server configuration are not met.",{"category":92,"check":190,"severity":24,"summary":191},"Cross-skill coupling","The skill operates standalone and does not implicitly rely on other skills; it cross-references the MCP authoring skill appropriately.",1778694289255,"This skill assists users with MongoDB query optimization and indexing by utilizing MongoDB MCP server tools and Atlas API credentials. It can analyze slow queries, suggest index strategies, and explain query execution plans.",[195,196,197,198,199],"Analyze slow MongoDB queries","Suggest optimal index creation","Explain query execution plans","Leverage MongoDB MCP server tools","Provide fallback optimization advice",[201,202,203],"General MongoDB query writing without performance concerns.","Directly creating indexes or modifying database schemas.","Writing complex aggregation pipelines without user query context.","3.0.0","4.4.0","To help users optimize MongoDB queries and indexing strategies for better database performance.","The skill is exceptionally well-documented, robust, and aligned with best practices, with no significant findings. Minor documentation on versioning could be more explicit.",99,"Excellent skill for MongoDB query optimization and indexing, leveraging MCP tools effectively.",[211,212,213,214,215,216],"mongodb","database","optimization","performance","indexing","query-tuning","global","verified",[220,221,222,223],"When asked how to optimize a specific MongoDB query.","When users inquire about indexing strategies for performance.","When users need to understand why their MongoDB queries are slow.","When users request help optimizing general cluster performance.",{"codeQuality":225,"collectedAt":227,"documentation":228,"maintenance":231,"security":235,"testCoverage":237},{"hasLockfile":226},false,1778694276007,{"descriptionLength":229,"readmeSize":230},446,2753,{"closedIssues90d":8,"forks":232,"hasChangelog":226,"openIssues90d":8,"pushedAt":233,"stars":234},20,1778514087000,111,{"hasNpmPackage":226,"license":236,"smitheryVerified":226},"Apache-2.0",{"hasCi":238,"hasTests":226},true,{"updatedAt":240},1778694289368,{"basePath":242,"githubOwner":211,"githubRepo":243,"locale":18,"slug":13,"type":244},"skills/mongodb-query-optimizer","agent-skills","skill",{"_creationTime":246,"_id":247,"community":248,"display":249,"identity":252,"parentExtension":255,"providers":285,"relations":296,"tags":297,"workflow":298},1778694149049.3462,"k170hje3xzpy2mbkn00agzm38x86mkbz",{"reviewCount":8},{"description":250,"installMethods":251,"name":211,"sourceUrl":14},"Official Claude plugin for MongoDB (MCP Server + Skills). Connect to databases, explore data, manage collections, optimize queries, generate reliable code, implement best practices, develop advanced features, and more.",{"claudeCode":211},{"basePath":253,"githubOwner":211,"githubRepo":243,"locale":18,"slug":243,"type":254},"","plugin",{"_creationTime":256,"_id":257,"community":258,"display":259,"identity":263,"providers":265,"relations":278,"tags":280,"workflow":281},1778694149049.346,"k17bjnvrfwx0ae2fnz7yj78p6h86mewp",{"reviewCount":8},{"description":260,"installMethods":261,"name":262,"sourceUrl":14},"Use the official MongoDB Skills with your favorite coding agent to build faster.",{"claudeCode":12},"mongodb-plugins",{"basePath":253,"githubOwner":211,"githubRepo":243,"locale":18,"slug":243,"type":264},"marketplace",{"evaluate":266,"extract":272},{"promptVersionExtension":267,"promptVersionScoring":205,"score":268,"tags":269,"targetMarket":217,"tier":271},"3.1.0",75,[211,212,243,270],"developer-tools","community",{"commitSha":273,"marketplace":274,"plugin":276},"HEAD",{"name":262,"pluginCount":275},1,{"mcpCount":8,"provider":277,"skillCount":8},"classify",{"repoId":279},"kd74vahs1zbjqzqbert490xyrd86nfv5",[243,212,270,211],{"evaluatedAt":282,"extractAt":283,"updatedAt":284},1778694174645,1778694149049,1778694461056,{"evaluate":286,"extract":293},{"promptVersionExtension":204,"promptVersionScoring":205,"score":287,"tags":288,"targetMarket":217,"tier":218},100,[211,289,290,291,292],"atlas","streaming","data-pipelines","cloud-management",{"commitSha":273,"license":236,"plugin":294},{"mcpCount":8,"provider":277,"skillCount":295},7,{"parentExtensionId":257,"repoId":279},[289,292,291,211,290],{"evaluatedAt":299,"extractAt":283,"updatedAt":300},1778694205322,1778694461243,{"evaluate":302,"extract":304},{"promptVersionExtension":204,"promptVersionScoring":205,"score":208,"tags":303,"targetMarket":217,"tier":218},[211,212,213,214,215,216],{"commitSha":273},{"parentExtensionId":247,"repoId":279},{"_creationTime":307,"_id":279,"identity":308,"providers":309,"workflow":506},1778694144418.9976,{"githubOwner":211,"githubRepo":243,"sourceUrl":14},{"classify":310,"discover":495,"github":498},{"commitSha":273,"extensions":311},[312,322,333,360,381,391,399,407,420,464,480],{"basePath":313,"displayName":314,"installMethods":315,"rationale":316,"selectedPaths":317,"source":321,"sourceLanguage":18,"type":264},".agents/plugins","mongodb-agent-skills",{"claudeCode":12},"marketplace.json at .agents/plugins/marketplace.json",[318],{"path":319,"priority":320},"marketplace.json","mandatory","rule",{"basePath":253,"displayName":262,"installMethods":323,"rationale":324,"selectedPaths":325,"source":321,"sourceLanguage":18,"type":264},{"claudeCode":12},"marketplace.json at .claude-plugin/marketplace.json",[326,328,330],{"path":327,"priority":320},".claude-plugin/marketplace.json",{"path":329,"priority":320},"README.md",{"path":331,"priority":332},"LICENSE","high",{"basePath":253,"description":250,"displayName":211,"installMethods":334,"license":236,"rationale":335,"selectedPaths":336,"source":321,"sourceLanguage":18,"type":254},{"claudeCode":211},"plugin manifest at .claude-plugin/plugin.json",[337,339,340,341,344,346,348,350,352,354,356,358],{"path":338,"priority":320},".claude-plugin/plugin.json",{"path":329,"priority":320},{"path":331,"priority":332},{"path":342,"priority":343},"skills/atlas-stream-processing/SKILL.md","medium",{"path":345,"priority":343},"skills/mongodb-connection/SKILL.md",{"path":347,"priority":343},"skills/mongodb-mcp-setup/SKILL.md",{"path":349,"priority":343},"skills/mongodb-natural-language-querying/SKILL.md",{"path":351,"priority":343},"skills/mongodb-query-optimizer/SKILL.md",{"path":353,"priority":343},"skills/mongodb-schema-design/SKILL.md",{"path":355,"priority":343},"skills/mongodb-search-and-ai/SKILL.md",{"path":357,"priority":332},".codex-plugin/plugin.json",{"path":359,"priority":332},".cursor-plugin/plugin.json",{"basePath":361,"description":362,"displayName":363,"installMethods":364,"rationale":365,"selectedPaths":366,"source":321,"sourceLanguage":18,"type":244},"skills/atlas-stream-processing","Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.","atlas-stream-processing",{"claudeCode":12},"SKILL.md frontmatter at skills/atlas-stream-processing/SKILL.md",[367,369,371,373,375,377,379],{"path":368,"priority":320},"SKILL.md",{"path":370,"priority":343},"references/connection-configs.md",{"path":372,"priority":343},"references/development-workflow.md",{"path":374,"priority":343},"references/mcp-troubleshooting.md",{"path":376,"priority":343},"references/output-diagnostics.md",{"path":378,"priority":343},"references/pipeline-patterns.md",{"path":380,"priority":343},"references/sizing-and-parallelism.md",{"basePath":382,"description":383,"displayName":384,"installMethods":385,"rationale":386,"selectedPaths":387,"source":321,"sourceLanguage":18,"type":244},"skills/mongodb-connection","Optimize MongoDB client connection configuration (pools, timeouts, patterns) for any supported driver language. Use this skill when working/updating/reviewing on functions that instantiate or configure a MongoDB client (eg, when calling `connect()`), configuring connection pools, troubleshooting connection errors (ECONNREFUSED, timeouts, pool exhaustion), optimizing performance issues related to connections. This includes scenarios like building serverless functions with MongoDB, creating API endpoints that use MongoDB, optimizing high-traffic MongoDB applications, creating long-running tasks and concurrency, or debugging connection-related failures.","mongodb-connection",{"claudeCode":12},"SKILL.md frontmatter at skills/mongodb-connection/SKILL.md",[388,389],{"path":368,"priority":320},{"path":390,"priority":343},"references/monitoring-guide.md",{"basePath":392,"description":393,"displayName":394,"installMethods":395,"rationale":396,"selectedPaths":397,"source":321,"sourceLanguage":18,"type":244},"skills/mongodb-mcp-setup","Guide users through configuring key MongoDB MCP server options. Use this skill when a user has the MongoDB MCP server installed but hasn't configured the required environment variables, or when they ask about connecting to MongoDB/Atlas and don't have the credentials set up.","mongodb-mcp-setup",{"claudeCode":12},"SKILL.md frontmatter at skills/mongodb-mcp-setup/SKILL.md",[398],{"path":368,"priority":320},{"basePath":400,"description":401,"displayName":402,"installMethods":403,"rationale":404,"selectedPaths":405,"source":321,"sourceLanguage":18,"type":244},"skills/mongodb-natural-language-querying","Generate read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate MongoDB queries, wants to filter/query/aggregate data in MongoDB, asks \"how do I query...\", needs help with query syntax, or discusses finding/filtering/grouping MongoDB documents. Also use for translating SQL-like requests to MongoDB syntax. Does NOT handle Atlas Search ($search operator), vector/semantic search ($vectorSearch operator), fuzzy matching, autocomplete indexes, or relevance scoring - use search-and-ai for those. Does NOT analyze or optimize existing queries - use mongodb-query-optimizer for that. Does NOT handle aggregation pipelines that involve write operations. Requires MongoDB MCP server.","mongodb-natural-language-querying",{"claudeCode":12},"SKILL.md frontmatter at skills/mongodb-natural-language-querying/SKILL.md",[406],{"path":368,"priority":320},{"basePath":242,"description":10,"displayName":13,"installMethods":408,"rationale":409,"selectedPaths":410,"source":321,"sourceLanguage":18,"type":244},{"claudeCode":12},"SKILL.md frontmatter at skills/mongodb-query-optimizer/SKILL.md",[411,412,414,416,418],{"path":368,"priority":320},{"path":413,"priority":343},"references/aggregation-optimization.md",{"path":415,"priority":343},"references/antipattern-examples.md",{"path":417,"priority":343},"references/core-indexing-principles.md",{"path":419,"priority":343},"references/update-query-examples.md",{"basePath":421,"description":422,"displayName":423,"installMethods":424,"rationale":425,"selectedPaths":426,"source":321,"sourceLanguage":18,"type":244},"skills/mongodb-schema-design","MongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues caused by schema problems. Triggers on \"design schema\", \"embed vs reference\", \"MongoDB data model\", \"schema review\", \"unbounded arrays\", \"one-to-many\", \"tree structure\", \"16MB limit\", \"schema validation\", \"JSON Schema\", \"time series\", \"schema migration\", \"polymorphic\", \"TTL\", \"data lifecycle\", \"archive\", \"index explosion\", \"unnecessary indexes\", \"approximation pattern\", \"document versioning\".","mongodb-schema-design",{"claudeCode":12},"SKILL.md frontmatter at skills/mongodb-schema-design/SKILL.md",[427,428,430,432,434,436,438,440,442,444,446,448,450,452,454,456,458,460,462],{"path":368,"priority":320},{"path":429,"priority":343},"references/antipattern-excessive-lookups.md",{"path":431,"priority":343},"references/antipattern-unnecessary-collections.md",{"path":433,"priority":343},"references/antipattern-unnecessary-indexes.md",{"path":435,"priority":343},"references/fundamental-document-model.md",{"path":437,"priority":343},"references/fundamental-document-size.md",{"path":439,"priority":343},"references/fundamental-embed-vs-reference.md",{"path":441,"priority":343},"references/fundamental-schema-validation.md",{"path":443,"priority":343},"references/pattern-approximation.md",{"path":445,"priority":343},"references/pattern-archive.md",{"path":447,"priority":343},"references/pattern-attribute.md",{"path":449,"priority":343},"references/pattern-bucket.md",{"path":451,"priority":343},"references/pattern-computed.md",{"path":453,"priority":343},"references/pattern-document-versioning.md",{"path":455,"priority":343},"references/pattern-extended-reference.md",{"path":457,"priority":343},"references/pattern-outlier.md",{"path":459,"priority":343},"references/pattern-polymorphic.md",{"path":461,"priority":343},"references/pattern-schema-versioning.md",{"path":463,"priority":343},"references/pattern-time-series-collections.md",{"basePath":465,"description":466,"displayName":467,"installMethods":468,"rationale":469,"selectedPaths":470,"source":321,"sourceLanguage":18,"type":244},"skills/mongodb-search-and-ai","Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions. Use this skill when users need to build search functionality for text-based queries (autocomplete, fuzzy matching, faceted search), semantic similarity (embeddings, RAG applications), or combined approaches. Also use when users need text containment, substring matching ('contains', 'includes', 'appears in'), case-insensitive or multi-field text search, or filtering across many fields with variable combinations. Provides workflows for selecting the right search type, creating indexes, constructing queries, and optimizing performance using the MongoDB MCP server.\n","mongodb-search-and-ai",{"claudeCode":12},"SKILL.md frontmatter at skills/mongodb-search-and-ai/SKILL.md",[471,472,474,476,478],{"path":368,"priority":320},{"path":473,"priority":343},"references/hybrid-search.md",{"path":475,"priority":343},"references/lexical-search-indexing.md",{"path":477,"priority":343},"references/lexical-search-querying.md",{"path":479,"priority":343},"references/vector-search.md",{"basePath":481,"description":482,"displayName":483,"installMethods":484,"rationale":485,"selectedPaths":486,"source":321,"sourceLanguage":18,"type":244},"tools/review-skill","Review a proposed Agent Skill for structural validity and content quality before publishing. Runs the skill-validator CLI to check for structural issues, scores the skill with an LLM judge, and interprets results to advise SMEs on what to address. 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