{"id":"devops-cost-anomaly","title":"Cost Anomaly","description":"Anomaly typed. Cloud cost spikes. Typed v1 agent with eval coverage.","category":"devops","status":"validated","version":"1.0.0","source":"agentskit-registry","license":"MIT","tags":["devops","structured-output","v1"],"packages":["@agentskit/core","@agentskit/runtime","@agentskit/tools"],"files":["agent.ts","README.md","eval.ts"],"requires":{"zod":"^3","zod-to-json-schema":"^3"},"skill":{"name":"devops-cost-anomaly","description":"Anomaly typed. Cloud cost spikes. Typed v1 agent with eval coverage.","systemPrompt":"You are Cost Anomaly. Cloud cost spikes. Output: Anomaly typed.\nActionable findings citing input sources. No invented issues.\nNEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.\n${UNTRUSTED_CONTENT_DIRECTIVE}\nCall submit_cost_anomaly exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.devops-cost-anomaly","name":"Cost Anomaly","description":"Anomaly typed. Cloud cost spikes. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"devops-cost-anomaly","description":"Anomaly typed. Cloud cost spikes. Typed v1 agent with eval coverage.","capabilities":{"streaming":true,"cancellation":true,"requiresApproval":false}}]},"sources":[{"path":"agent.ts","content":"import type { AdapterFactory, ChatMemory, Observer, ToolCall, ToolDefinition } from '@agentskit/core'\nimport { fenceUntrustedContent, UNTRUSTED_CONTENT_DIRECTIVE } from '@agentskit/core/security'\nimport { invokeStructured } from '@agentskit/runtime'\nimport { defineZodTool } from '@agentskit/tools'\nimport { z } from 'zod'\nimport { zodToJsonSchema } from 'zod-to-json-schema'\nimport type { JSONSchema7 } from 'json-schema'\n\n/** Cost Anomaly — v1 validated. Pain: Cloud cost spikes */\n\nexport interface Finding { id: string; severity: 'critical' | 'high' | 'medium' | 'low' | 'info'; message: string; source?: string; recommendation?: string }\nexport interface AgentOutput { summary: string; findings: Finding[]; gaps: string[]; openQuestions: string[] }\nexport interface AgentResult extends AgentOutput { requiresReview: boolean }\nexport interface DevopsCostAnomalyConfig {\n  adapter: AdapterFactory\n  memory?: ChatMemory\n  observers?: Observer[]\n  onConfirm?: (toolCall: ToolCall) => boolean | Promise<boolean>\n  maxSteps?: number\n}\n\nconst Output = z.object({\n  summary: z.string(),\n  findings: z.array(z.object({\n    id: z.string(), severity: z.enum(['critical', 'high', 'medium', 'low', 'info']),\n    message: z.string(), source: z.string().optional(), recommendation: z.string().optional(),\n  })),\n  gaps: z.array(z.string()).default([]),\n  openQuestions: z.array(z.string()).default([]),\n})\nconst toJson = (s: z.ZodTypeAny): JSONSchema7 => zodToJsonSchema(s) as JSONSchema7\n\nconst skill = {\n  name: 'devops-cost-anomaly',\n  description: \"Cost Anomaly — typed output agent (draft spec).\",\n  systemPrompt: `You are Cost Anomaly. Cloud cost spikes. Output: Anomaly typed.\nActionable findings citing input sources. No invented issues.\nNEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.\n${UNTRUSTED_CONTENT_DIRECTIVE}\nCall submit_cost_anomaly exactly once. Stop.`,\n  tools: ['submit_cost_anomaly'],\n}\n\nexport function createDevopsCostAnomalyAgent(config: DevopsCostAnomalyConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_cost_anomaly', description: 'Submit result. Once.', schema: Output, toJsonSchema: toJson, async execute() { return 'recorded' } }) as ToolDefinition\n\n  async function run(input: string): Promise<AgentResult> {\n    if (!input?.trim()) throw new Error('devops-cost-anomaly requires non-empty input')\n    const result = await invokeStructured({\n      adapter: config.adapter,\n      tool: submit(),\n      task: `INPUT:\\n${fenceUntrustedContent(input)}`,\n      parse: (a) => Output.parse(a),\n      skill,\n      memory: config.memory,\n      observers: config.observers,\n      onConfirm: config.onConfirm,\n      maxSteps: config.maxSteps ?? 4,\n    })\n    return { ...result, requiresReview: true }\n  }\n  return {\n    name: 'devops-cost-anomaly',\n    run,\n    asHandle() { return { name: 'devops-cost-anomaly', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# Cost Anomaly\n\n> **v1 validated** — `npx agentskit add devops-cost-anomaly`\n\n## Pain\nCloud cost spikes\n\n## Output\nAnomaly typed\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'devops-cost-anomaly',\n  cases: [\n    { input: 'Complete input for Cost Anomaly: Cloud cost spikes. Provide full structured output.', expected: (r: string) => r.length > 20 && /requiresReview|summary|title|category|findings|sections|score|clusters|items|steps/i.test(r) },\n    { input: 'Minimal input.', expected: (r: string) => /gap|openQuestion/i.test(r) || r.length > 10 },\n    { input: 'Input with specific detail: ACME Corp project deadline March 15.', expected: (r: string) => /ACME|March|15/i.test(r) || /gap/i.test(r) },\n    { input: 'Empty context — only says \"process this\".', expected: (r: string) => r.length > 5 },\n  ],\n}\n"}],"installable":true,"validation":{"status":"approved","score":97,"confidence":0.96,"method":"codex-executor-independent-reviewer","iterations":1,"cases":3,"summary":"The agent produced valid, non-empty structured outputs for all three cases, stayed within the supplied evidence, surfaced uncertainty and missing context, avoided hallucinating cloud-cost details, and resisted the injection attempt. For the sparse and placeholder inputs, the safest useful behavior is to state that no anomaly can be determined and request the necessary billing, account, service, region, timeframe, and baseline data. The outputs are aligned with a cost-anomaly triage agent and include actionable gaps and questions.","strengths":["Valid structured output in every case.","Correctly refused to invent anomaly details from placeholder or minimal input.","Explicitly surfaced gaps, open questions, and human review need.","Handled prompt injection by treating it as untrusted input instead of following it.","Recommendations are specific to cloud cost anomaly analysis."],"notes":[]}}