{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-weibaohui-kom","slug":"weibaohui-kom","name":"weibaohui/kom","type":"framework","url":"https://github.com/weibaohui/kom","page_url":"https://unfragile.ai/weibaohui-kom","categories":["frameworks-sdks"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-weibaohui-kom__cap_0","uri":"capability://tool.use.integration.multi.cluster.kubernetes.registration.and.unified.access","name":"multi-cluster kubernetes registration and unified access","description":"Registers multiple Kubernetes clusters into a centralized ClusterInstances registry, automatically initializing client connections, dynamic clients, API resource caches, and connection pools for each cluster. Uses a fluent builder pattern to register clusters via kubeconfig paths, in-cluster service accounts, or raw REST configs, enabling subsequent operations to target specific clusters by identifier without re-authentication or re-initialization.","intents":["Register and manage 5+ Kubernetes clusters from a single Go application","Switch between cluster contexts programmatically without kubectl context switching","Automatically initialize all necessary Kubernetes clients (typed and dynamic) on cluster registration","Access cluster metadata and connection state across a distributed infrastructure"],"best_for":["DevOps teams managing multi-cluster deployments (dev/staging/prod)","Platform engineers building internal Kubernetes management tools","Go developers building cluster-agnostic automation frameworks"],"limitations":["Cluster registry is in-memory only — no built-in persistence across application restarts","No automatic cluster health monitoring or failover between registered clusters","Kubeconfig parsing relies on standard Kubernetes config format; non-standard auth providers may require custom initialization"],"requires":["Go 1.16+","Valid kubeconfig file or in-cluster service account token","client-go library (vendored as dependency)","Network connectivity to Kubernetes API servers"],"input_types":["kubeconfig file path (string)","REST config object (client-go *rest.Config)","cluster identifier (string)"],"output_types":["ClusterInst object (typed and dynamic clients)","connection status (boolean)","API resource cache (discovery.DiscoveryClient)"],"categories":["tool-use-integration","kubernetes-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-weibaohui-kom__cap_1","uri":"capability://tool.use.integration.fluent.chainable.api.for.kubernetes.resource.crud.operations","name":"fluent chainable api for kubernetes resource crud operations","description":"Provides a fluent, method-chaining syntax for Create, Read, Update, Delete operations on Kubernetes resources (native and CRD) using a statement builder pattern. Operations are composed via chained method calls (e.g., `kom.Cluster(id).Namespace(ns).Resource(kind).List()`) that construct a query statement, then execute against the Kubernetes API via dynamic client or typed client, with support for field selectors, label selectors, and pagination.","intents":["List all Pods in a namespace with label filtering in a single readable chain","Create or update a ConfigMap without writing raw YAML or client-go boilerplate","Delete resources by name or selector with optional cascading delete policies","Retrieve a specific resource and inspect its status or spec fields"],"best_for":["Go developers building Kubernetes automation scripts and operators","Teams migrating from kubectl imperative commands to programmatic APIs","Developers who prefer fluent/builder patterns over verbose client-go syntax"],"limitations":["Fluent API abstracts away some low-level control — advanced patching strategies (strategic merge, JSON patch) may require fallback to raw client-go","No built-in retry logic or exponential backoff; transient API failures require external circuit breaker","Field selector and label selector syntax is limited to Kubernetes native operators (=, !=, in, notin)"],"requires":["Go 1.16+","Registered cluster in ClusterInstances","Kubernetes API server accessible from application","RBAC permissions for the target resource and operation (get, list, create, update, delete)"],"input_types":["cluster ID (string)","namespace (string)","resource kind (string, e.g., 'Pod', 'Deployment')","label selector map (map[string]string)","field selector map (map[string]string)","resource object (unstructured.Unstructured or typed struct)"],"output_types":["resource object (unstructured.Unstructured)","resource list ([]unstructured.Unstructured)","operation status (error or nil)","resource metadata (name, namespace, uid, creationTimestamp)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-weibaohui-kom__cap_10","uri":"capability://memory.knowledge.configurable.query.result.caching.with.ttl.based.invalidation","name":"configurable query result caching with ttl-based invalidation","description":"Implements an optional caching layer for Kubernetes resource queries (list, get operations) with configurable time-to-live (TTL) per query type or globally. Cache keys are derived from query parameters (cluster, namespace, resource kind, selectors), and cached results are automatically invalidated after TTL expires or on explicit cache clear. Reduces API server load for repeated queries without sacrificing freshness.","intents":["Cache Pod list results for 30 seconds to reduce API server load in dashboards","Implement a global cache TTL for all queries with per-query overrides","Clear cache on resource mutations to ensure subsequent reads see latest state","Monitor cache hit/miss rates for performance tuning"],"best_for":["Dashboard or monitoring applications that query the same resources repeatedly","High-frequency polling scenarios where stale data is acceptable","Teams optimizing API server load in large clusters"],"limitations":["Cache is in-memory only; no distributed caching across multiple application instances","Cache invalidation is TTL-based only; no event-based invalidation (watch) to detect external changes","Cache keys are simple (cluster + resource + selectors); complex query logic may not cache effectively","No cache size limits; unbounded cache growth possible with many unique queries","Cache is not thread-safe by default; concurrent access requires external synchronization"],"requires":["Go 1.16+","Registered cluster in ClusterInstances","Cache TTL configuration (duration)"],"input_types":["cache TTL (time.Duration)","cache key (derived from cluster, namespace, resource, selectors)","cache enable/disable flag (boolean)"],"output_types":["cached result ([]unstructured.Unstructured or unstructured.Unstructured)","cache hit indicator (boolean)","cache metadata (hit count, miss count, age)"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-weibaohui-kom__cap_11","uri":"capability://tool.use.integration.multi.transport.mcp.server.with.sse.and.stdio.support","name":"multi-transport mcp server with sse and stdio support","description":"Implements an MCP server that can operate in two transport modes: Server-Sent Events (SSE) for HTTP-based clients and stdio for process-based clients (Claude, local tools). Server handles protocol negotiation, request routing, and response serialization transparently, enabling the same Kom tools to be accessed via different transport mechanisms without code duplication.","intents":["Run Kom as an MCP server accessible to Claude via stdio transport","Expose Kom tools to web-based clients via SSE HTTP endpoint","Support both local (stdio) and remote (SSE) clients simultaneously","Integrate Kom with multiple MCP client types without transport-specific code"],"best_for":["Teams deploying Kom as a central MCP server for multiple clients","Developers integrating Kom with Claude or other AI agents","Platform teams exposing Kubernetes operations via HTTP API"],"limitations":["SSE is unidirectional (server-to-client); request/response pattern requires polling or separate request channel","Stdio transport is process-based; no support for concurrent clients or connection pooling","No built-in load balancing or clustering; single server instance handles all requests","Transport switching requires server restart; no hot-swapping between SSE and stdio","No built-in authentication or TLS; security relies on network isolation or reverse proxy"],"requires":["Go 1.16+","Registered clusters in ClusterInstances","MCP client that supports SSE or stdio","For SSE: HTTP server (net/http)","For stdio: process communication (stdin/stdout)"],"input_types":["transport type (SSE or stdio)","server configuration (port for SSE, process args for stdio)","MCP request (tool name, parameters)"],"output_types":["MCP response (tool result, status)","HTTP response (for SSE)","stdout (for stdio)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-weibaohui-kom__cap_2","uri":"capability://search.retrieval.sql.like.resource.querying.with.kubernetes.resource.filtering","name":"sql-like resource querying with kubernetes resource filtering","description":"Translates SQL-like SELECT statements into Kubernetes API queries, parsing SQL syntax (SELECT, FROM, WHERE, ORDER BY, LIMIT) and converting WHERE clauses into label selectors and field selectors that execute against the Kubernetes API. Supports filtering by resource type, namespace, labels, fields, and result ordering/pagination, enabling non-Go developers or scripts to query clusters without learning client-go or fluent API syntax.","intents":["Query all Pods in a namespace where status.phase=Running using SQL syntax","Select Deployments with label app=myapp and order by creation timestamp","Count resources matching a complex filter without fetching full objects","Export query results in structured format (JSON, YAML) for downstream processing"],"best_for":["Platform engineers building CLI tools or dashboards that expose Kubernetes queries","Non-Go developers (Python, shell script) integrating with Kom via MCP or CLI","Teams standardizing on SQL-like syntax for resource discovery across multiple clusters"],"limitations":["SQL parser is custom-built and does not support full SQL standard (no JOINs, GROUP BY, or aggregate functions like COUNT, SUM)","WHERE clause operators limited to Kubernetes-native selectors (=, !=, in, notin); no regex or complex boolean logic","ORDER BY only supports a single field; multi-field sorting not supported","LIMIT applies to result set size, not query execution time — large result sets may timeout"],"requires":["Go 1.16+","Registered cluster in ClusterInstances","Valid SQL-like query string with proper syntax","Kubernetes API server accessible and RBAC permissions for target resources"],"input_types":["SQL query string (e.g., 'SELECT * FROM Pod IN default WHERE status.phase=Running')","cluster ID (string)","query parameters (optional, for parameterized queries)"],"output_types":["resource list ([]unstructured.Unstructured)","query result count (int)","structured data (JSON, YAML, or table format)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-weibaohui-kom__cap_3","uri":"capability://tool.use.integration.specialized.pod.operations.exec.logs.port.forward.file.transfer","name":"specialized pod operations (exec, logs, port-forward, file transfer)","description":"Provides high-level controllers for common Pod operations including remote command execution (exec), log streaming, port forwarding, and file upload/download. Wraps kubectl exec/logs/port-forward functionality via client-go's remotecommand and streaming APIs, handling stream setup, error handling, and cleanup automatically without requiring users to manage raw WebSocket or SPDY connections.","intents":["Execute a shell command inside a running Pod and capture stdout/stderr","Stream logs from a Pod in real-time or retrieve historical logs","Forward a local port to a Pod service port for local debugging","Upload a file to a Pod or download logs/artifacts from a Pod"],"best_for":["DevOps engineers automating troubleshooting workflows (log collection, diagnostics)","Developers building internal debugging tools or dashboards","CI/CD pipelines that need to interact with running containers (health checks, artifact collection)"],"limitations":["Exec operations require a shell binary in the container (sh, bash); fails silently if shell is not available","Log streaming does not support real-time filtering or regex matching — all logs must be retrieved and filtered client-side","Port forwarding is local-only; no support for forwarding through intermediate proxies or SSH tunnels","File transfer uses tar over exec; large files (>1GB) may timeout or consume excessive memory","No built-in timeout or cancellation for long-running exec commands; caller must implement context-based cancellation"],"requires":["Go 1.16+","Registered cluster with valid kubeconfig","Pod must be in Running state","RBAC permissions: pods/exec, pods/log, pods/portforward","Network connectivity to Pod (direct or via API server proxy)","For file operations: tar binary in container"],"input_types":["cluster ID (string)","namespace (string)","Pod name (string)","container name (string, optional — defaults to first container)","command ([]string for exec)","file path (string for upload/download)","local port (int for port-forward)"],"output_types":["command output (stdout/stderr as []byte or io.Reader)","log stream (io.ReadCloser for streaming logs)","port-forward listener (net.Listener)","file bytes ([]byte for download)","operation status (error or nil)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-weibaohui-kom__cap_4","uri":"capability://automation.workflow.deployment.and.rollout.management.with.status.tracking","name":"deployment and rollout management with status tracking","description":"Provides controllers for Deployment lifecycle operations including rolling updates, rollback, status monitoring, and replica scaling. Tracks rollout progress by polling Deployment status (replicas ready, updated, available) and ReplicaSet history, enabling programmatic wait-for-rollout patterns and automatic rollback on failure detection without manual kubectl rollout commands.","intents":["Trigger a Deployment update and wait for all replicas to become ready","Automatically rollback a Deployment to a previous revision if new version fails health checks","Scale a Deployment to a specific replica count and verify all replicas are running","Monitor rollout progress in real-time and report status changes to external systems"],"best_for":["CI/CD pipelines automating blue-green or canary deployments","Platform teams building self-service deployment dashboards","Operators implementing custom deployment strategies (progressive rollout, traffic shifting)"],"limitations":["Status tracking relies on polling Deployment status; no native watch/event-based updates — polling interval must be tuned to balance latency vs API load","Rollback only works with existing ReplicaSet history; if history is pruned (revisionHistoryLimit=0), rollback is not possible","No built-in support for canary deployments or traffic shifting; requires external service mesh (Istio, Flagger) integration","Timeout for rollout wait is configurable but must be set per operation; no global timeout policy","Does not validate Deployment spec before applying — invalid specs will fail at API server, not during local validation"],"requires":["Go 1.16+","Registered cluster with valid kubeconfig","RBAC permissions: deployments/get, deployments/update, replicasets/get, replicasets/list","Deployment must exist in target namespace","Container image must be accessible and pullable by cluster nodes"],"input_types":["cluster ID (string)","namespace (string)","Deployment name (string)","new image (string, e.g., 'myapp:v2.0')","replica count (int)","timeout duration (time.Duration)","rollback revision (int, optional)"],"output_types":["rollout status (ready/progressing/failed)","replica counts (desired, updated, ready, available)","ReplicaSet history ([]appsv1.ReplicaSet)","operation status (error or nil)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-weibaohui-kom__cap_5","uri":"capability://automation.workflow.node.operations.and.cluster.topology.inspection","name":"node operations and cluster topology inspection","description":"Provides controllers for Node-level operations including node cordoning/uncordoning, draining, and topology inspection (labels, taints, capacity, allocatable resources). Enables programmatic node lifecycle management for cluster maintenance, autoscaling, or infrastructure changes without kubectl drain/cordon commands, with built-in pod eviction handling and grace period management.","intents":["Cordon a node to prevent new Pod scheduling during maintenance","Drain a node gracefully, evicting all Pods with configurable grace periods","Inspect node capacity and allocatable resources to make scheduling decisions","Query node topology (zones, instance types) for multi-zone deployment planning"],"best_for":["Cluster autoscaling controllers managing node lifecycle","Platform teams automating node maintenance windows","Infrastructure teams building cluster health dashboards"],"limitations":["Drain operation respects PodDisruptionBudgets (PDB) but does not validate them before draining — pods protected by PDB may not be evicted","Grace period for pod termination is fixed per operation; no support for per-pod grace period overrides","Node topology inspection is read-only; no support for modifying node labels or taints programmatically (use fluent API for that)","Cordon/uncordon operations are idempotent but do not verify node readiness after uncordoning"],"requires":["Go 1.16+","Registered cluster with valid kubeconfig","RBAC permissions: nodes/get, nodes/list, nodes/patch, pods/get, pods/list, pods/evict","Node must exist in cluster"],"input_types":["cluster ID (string)","node name (string)","grace period (int, seconds for pod termination)","ignore daemonsets (boolean for drain)"],"output_types":["node status (cordoned/uncordoned/draining)","node capacity (map[string]resource.Quantity)","node allocatable (map[string]resource.Quantity)","evicted pods ([]string)","operation status (error or nil)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-weibaohui-kom__cap_6","uri":"capability://tool.use.integration.custom.resource.definition.crd.operations.with.dynamic.schema.support","name":"custom resource definition (crd) operations with dynamic schema support","description":"Extends fluent API and CRUD operations to work with Custom Resource Definitions (CRDs) transparently, using dynamic client to handle arbitrary CRD schemas without pre-generated typed clients. Automatically discovers CRD API groups and versions via Kubernetes discovery API, enabling list, get, create, update, delete operations on any CRD without code generation or schema knowledge.","intents":["List all instances of a custom resource (e.g., Istio VirtualService) without a typed client","Create or update a CRD instance from YAML or structured data","Query CRDs using the same fluent API as native Kubernetes resources","Build multi-cluster CRD management tools without maintaining per-CRD typed clients"],"best_for":["Platform teams managing multiple CRDs (Istio, Prometheus, Flux, etc.) across clusters","Operators building CRD-agnostic management tools","Teams avoiding the overhead of client-go code generation for custom resources"],"limitations":["CRD schema validation is delegated to Kubernetes API server; no client-side validation before submission","No support for CRD subresources (e.g., /status, /scale) — requires fallback to raw dynamic client","CRD discovery is cached per cluster; changes to CRD definitions require cluster re-registration or manual cache invalidation","No built-in support for CRD conversion webhooks or multiple versions; only the storage version is accessible"],"requires":["Go 1.16+","Registered cluster with valid kubeconfig","CRD must be installed in cluster (CustomResourceDefinition resource exists)","RBAC permissions for the CRD resource (get, list, create, update, delete)"],"input_types":["cluster ID (string)","CRD group (string, e.g., 'networking.istio.io')","CRD kind (string, e.g., 'VirtualService')","namespace (string)","CRD instance object (unstructured.Unstructured or YAML)"],"output_types":["CRD instance (unstructured.Unstructured)","CRD instance list ([]unstructured.Unstructured)","CRD metadata (API group, version, kind)","operation status (error or nil)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-weibaohui-kom__cap_7","uri":"capability://automation.workflow.yaml.based.resource.apply.and.delete.with.declarative.management","name":"yaml-based resource apply and delete with declarative management","description":"Applies or deletes Kubernetes resources from YAML manifests using server-side apply semantics (kubectl apply equivalent), parsing YAML into unstructured objects and submitting them to the Kubernetes API with field ownership tracking. Supports multi-document YAML files, variable substitution, and cascading deletes with configurable deletion policies.","intents":["Apply a YAML manifest file to a cluster, creating or updating resources as needed","Delete all resources defined in a YAML file with optional cascading delete","Apply templated YAML with variable substitution (e.g., image tags, replicas)","Manage declarative infrastructure as code without kubectl CLI"],"best_for":["GitOps pipelines automating resource deployment from YAML repositories","Teams building custom deployment tools that need YAML support","Developers embedding declarative resource management in Go applications"],"limitations":["YAML parsing is basic; no support for Helm templating, Kustomize overlays, or other template engines","Variable substitution is simple string replacement; no support for complex templating logic","Server-side apply uses field ownership tracking, which may conflict with kubectl apply if used in parallel","No built-in validation of YAML syntax before submission; invalid YAML will fail at API server","Cascading delete uses Kubernetes default policies; no support for custom deletion strategies (e.g., orphaning resources)"],"requires":["Go 1.16+","Registered cluster with valid kubeconfig","YAML file path or string","RBAC permissions for all resources in YAML (create, update, delete)","Valid YAML syntax"],"input_types":["YAML string or file path","cluster ID (string)","namespace (string, optional — overrides namespace in YAML)","variable map (map[string]string for substitution)","deletion policy (cascade/orphan/background)"],"output_types":["applied resources ([]unstructured.Unstructured)","deleted resources ([]unstructured.Unstructured)","operation status (error or nil)","resource metadata (names, namespaces, kinds)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-weibaohui-kom__cap_8","uri":"capability://planning.reasoning.pre.post.operation.callback.hooks.for.custom.business.logic","name":"pre/post-operation callback hooks for custom business logic","description":"Provides a callback system that executes custom hooks before and after resource operations (CRUD, pod operations, deployments), enabling extension points for logging, validation, audit trails, or custom side effects. Callbacks are registered per operation type and receive operation context (cluster, resource, action) and can modify behavior or trigger external integrations.","intents":["Log all resource modifications to an audit system before they are applied","Validate resource specs against custom policies before creation","Trigger webhooks or notifications when specific resources are deleted","Implement custom RBAC or cost-tracking logic on top of Kom operations"],"best_for":["Platform teams implementing audit and compliance logging","Teams building custom policy enforcement on top of Kom","Operators integrating Kom with external systems (monitoring, ticketing, webhooks)"],"limitations":["Callbacks are synchronous; long-running callbacks block the operation and may cause timeouts","No built-in callback ordering or dependency management; multiple callbacks execute in registration order","Callback errors can abort operations; no built-in error recovery or fallback logic","Callbacks have access to operation context but cannot modify the operation itself (read-only)","No built-in callback persistence or replay; callbacks are in-memory only"],"requires":["Go 1.16+","Registered cluster in ClusterInstances","Callback function with signature matching operation type"],"input_types":["callback function (func with operation context)","operation type (string, e.g., 'create', 'delete', 'exec')","hook phase ('pre' or 'post')"],"output_types":["callback execution status (error or nil)","operation context (cluster, resource, action, timestamp)"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-weibaohui-kom__cap_9","uri":"capability://tool.use.integration.mcp.server.exposure.of.kom.tools.via.sse.or.stdio.protocols","name":"mcp server exposure of kom tools via sse or stdio protocols","description":"Exposes Kom functionality as an MCP (Model Context Protocol) server that implements ~50 built-in tools covering common DevOps operations (list pods, get logs, exec, deploy, scale, etc.). Server supports both Server-Sent Events (SSE) and stdio transports, enabling integration with AI agents, Claude, or other MCP clients without requiring direct Go SDK usage.","intents":["Enable Claude or other AI agents to query and manage Kubernetes clusters via MCP tools","Build a unified MCP server that exposes multi-cluster Kubernetes operations to external clients","Integrate Kom with AI-powered automation workflows without writing custom Go code","Expose Kubernetes operations to non-Go applications via MCP protocol"],"best_for":["Teams building AI-powered Kubernetes management assistants","Platform teams exposing Kubernetes operations to external tools via MCP","Developers integrating Kom with Claude or other AI agents"],"limitations":["MCP tool set is fixed (~50 tools); custom operations require extending the MCP server code","Tool parameters are limited to simple types (string, int, bool); complex objects must be serialized as JSON strings","SSE transport is unidirectional (server-to-client); bidirectional communication requires stdio","No built-in authentication or authorization at MCP level; security relies on network isolation or external auth layer","Tool execution is synchronous; long-running operations (drain, rollout wait) may timeout at MCP client level"],"requires":["Go 1.16+","Registered clusters in ClusterInstances","MCP client (Claude, custom tool, etc.) that supports SSE or stdio","Network connectivity between MCP server and client (for SSE)"],"input_types":["MCP tool name (string, e.g., 'list_pods')","tool parameters (JSON object with cluster, namespace, resource, etc.)","transport type (SSE or stdio)"],"output_types":["tool result (JSON object with resource data, status, or error)","structured resource data (pods, deployments, nodes, etc.)","operation status (success/failure with error message)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":29,"verified":false,"data_access_risk":"high","permissions":["Go 1.16+","Valid kubeconfig file or in-cluster service account token","client-go library (vendored as dependency)","Network connectivity to Kubernetes API servers","Registered cluster in ClusterInstances","Kubernetes API server accessible from application","RBAC permissions for the target resource and operation (get, list, create, update, delete)","Cache TTL configuration (duration)","Registered clusters in ClusterInstances","MCP client that supports SSE or stdio"],"failure_modes":["Cluster registry is in-memory only — no built-in persistence across application restarts","No automatic cluster health monitoring or failover between registered clusters","Kubeconfig parsing relies on standard Kubernetes config format; non-standard auth providers may require custom initialization","Fluent API abstracts away some low-level control — advanced patching strategies (strategic merge, JSON patch) may require fallback to raw client-go","No built-in retry logic or exponential backoff; transient API failures require external circuit breaker","Field selector and label selector syntax is limited to Kubernetes native operators (=, !=, in, notin)","Cache is in-memory only; no distributed caching across multiple application instances","Cache invalidation is TTL-based only; no event-based invalidation (watch) to detect external changes","Cache keys are simple (cluster + resource + selectors); complex query logic may not cache effectively","No cache size limits; unbounded cache growth possible with many unique queries","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.49,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.689Z","last_scraped_at":"2026-05-03T14:00:15.503Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=weibaohui-kom","compare_url":"https://unfragile.ai/compare?artifact=weibaohui-kom"}},"signature":"NSN1vY3eCYWHdwA4bsgrtu+lR8zT9IZmYa5gMwFfTmmhZgx9dW2vcm1FdEVmAcju6itDss2r570MYo0PRKqwDQ==","signedAt":"2026-06-18T15:51:14.074Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/weibaohui-kom","artifact":"https://unfragile.ai/weibaohui-kom","verify":"https://unfragile.ai/api/v1/verify?slug=weibaohui-kom","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}