Skills resources

apiVersion: skill.ooder.net/v1 kind: Skill

metadata: id: skill-monitor name: 监控服务 version: 2.3.0 description: 系统监控、指标采集、告警管理、日志查询 author: ooder Team type: system-service license: Apache-2.0 homepage: https://gitee.com/ooderCN repository: https://gitee.com/ooderCN/ooder-skills keywords: - monitor - metrics - alert - observation - logging

spec: skillForm: PROVIDER type: system-service

capability: category: sys

ownership: platform

capability: address: 0x50 category: MON code: MON_METRICS operations: [metrics-collect, alert-manage, log-query, observation]

dependencies: []

capabilities: - id: metrics-collect name: 指标采集 description: 采集系统指标数据 category: monitoring type: ATOMIC

- id: alert-manage
  name: 告警管理
  description: 创建、确认告警规�?
  category: monitoring
  type: ATOMIC
  
- id: log-query
  name: 日志查询
  description: 查询系统日志
  category: monitoring
  type: ATOMIC
  
- id: observation
  name: 观测能力
  description: 目标观测和历史数据获�?
  category: monitoring
  type: ATOMIC
  
- id: metrics-query
  name: 指标查询
  description: 查询指定指标数据
  category: monitoring
  type: ATOMIC

endpoints: - path: /api/monitor/metrics method: GET description: 获取所有指�? capability: metrics-collect

- path: /api/monitor/metrics/{name}
  method: GET
  description: 获取指定指标
  capability: metrics-query
  
- path: /api/monitor/alerts
  method: GET
  description: 获取告警列表
  capability: alert-manage
  
- path: /api/monitor/alerts
  method: POST
  description: 创建告警规则
  capability: alert-manage
  
- path: /api/monitor/alerts/{alertId}/acknowledge
  method: POST
  description: 确认告警
  capability: alert-manage
  
- path: /api/monitor/logs
  method: GET
  description: 查询日志
  capability: log-query
  
- path: /api/monitor/observe/{targetId}
  method: GET
  description: 观测目标
  capability: observation
  
- path: /api/monitor/observe/{targetId}/history
  method: GET
  description: 获取观测历史
  capability: observation

runtime: language: java javaVersion: "8" framework: spring-boot mainClass: net.ooder.skill.monitor.MonitorSkillApplication

llmConfig: required: false defaultProvider: "deepseek" defaultModel: "deepseek-chat" capabilities: - chat - streaming - function-calling modelSelection: allowUserOverride: true availableProviders: - deepseek - openai - qianwen - volcengine - ollama functionCalling: enabled: true tools: - name: query_skill_capability description: "查询当前技能的能力和使用方�? parameters: type: object properties: capability: type: string description: "能力名称" detail: type: string enum: [brief, detailed, examples] default: "brief" - name: execute_mvel_action description: "通过MVEL表达式执行后台操�? parameters: type: object properties: expression: type: string description: "MVEL表达�? context: type: object - name: generate_ui_form description: "生成UI表单供用户填�? parameters: type: object properties: formType: type: string fields: type: array items: type: object - name: execute_batch_operation description: "执行批量操作" parameters: type: object properties: operation: type: string items: type: array items: type: object - name: convert_to_javascript description: "转换为JavaScript代码供用户使�? parameters: type: object properties: action: type: string parameters: type: object toolChoice: auto rateLimits: requestsPerMinute: 60 tokensPerMinute: 100000

config: optional: - name: METRICS_INTERVAL type: integer default: 30000 description: 指标采集间隔（毫秒） - name: LOG_RETENTION_DAYS type: integer default: 7 description: 日志保留天数 - name: ALERT_ENABLED type: boolean default: true description: 启用告警功能 - name: OBSERVATION_WINDOW type: integer default: 3600000 description: 观测时间窗口（毫秒）

resources: cpu: "200m" memory: "256Mi" storage: "100Mi"

offline: enabled: true cacheStrategy: local syncOnReconnect: true