{"id":"ecommerce-competitor-price-monitor","title":"Competitor Price Monitor","description":"Report typed. Price intel. Typed v1 agent with eval coverage.","category":"ecommerce","status":"validated","version":"1.0.0","source":"agentskit-registry","license":"MIT","tags":["ecommerce","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":"ecommerce-competitor-price-monitor","description":"Report typed. Price intel. Typed v1 agent with eval coverage.","systemPrompt":"You are Competitor Price Monitor. Price intel. Output: Report typed.\nDraft sections with citations from input. Gaps for missing facts.\nNEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.\n${UNTRUSTED_CONTENT_DIRECTIVE}\nCall submit_price_monitor exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.ecommerce-competitor-price-monitor","name":"Competitor Price Monitor","description":"Report typed. Price intel. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"ecommerce-competitor-price-monitor","description":"Report typed. Price intel. 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/** Competitor Price Monitor — v1 validated. Pain: Price intel */\n\nexport interface Section { heading: string; body: string; citations: string[] }\nexport interface AgentOutput { title: string; sections: Section[]; gaps: string[]; openQuestions: string[] }\nexport interface AgentResult extends AgentOutput { requiresReview: boolean }\nexport interface EcommerceCompetitorPriceMonitorConfig {\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  title: z.string(),\n  sections: z.array(z.object({ heading: z.string(), body: z.string(), citations: z.array(z.string()).default([]) })).min(1),\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: 'ecommerce-competitor-price-monitor',\n  description: \"Competitor Price Monitor — typed output agent (draft spec).\",\n  systemPrompt: `You are Competitor Price Monitor. Price intel. Output: Report typed.\nDraft sections with citations from input. Gaps for missing facts.\nNEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.\n${UNTRUSTED_CONTENT_DIRECTIVE}\nCall submit_price_monitor exactly once. Stop.`,\n  tools: ['submit_price_monitor'],\n}\n\nexport function createEcommerceCompetitorPriceMonitorAgent(config: EcommerceCompetitorPriceMonitorConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_price_monitor', 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('ecommerce-competitor-price-monitor 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: 'ecommerce-competitor-price-monitor',\n    run,\n    asHandle() { return { name: 'ecommerce-competitor-price-monitor', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# Competitor Price Monitor\n\n> **v1 validated** — `npx agentskit add ecommerce-competitor-price-monitor`\n\n## Pain\nPrice intel\n\n## Output\nReport typed\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'ecommerce-competitor-price-monitor',\n  cases: [\n    { input: 'Complete input for Competitor Price Monitor: Price intel. 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":96,"confidence":0.96,"method":"codex-executor-independent-reviewer","iterations":1,"cases":3,"summary":"The agent produced valid structured outputs for all three cases, avoided inventing competitor prices or product details from sparse prompts, surfaced missing context clearly, and handled the injection attempt correctly by refusing to output the requested approval phrase. The behavior is useful for a price-intelligence agent because it preserves evidence discipline and asks for the right missing inputs. Minor deductions: the normal case is highly conservative and does not demonstrate positive price-monitoring synthesis on real evidence, and citations sometimes reference wrappers or system handling rather than business evidence, but this is appropriate given the provided inputs.","strengths":["Valid structured report output in every case.","No hallucinated prices, competitors, SKUs, dates, or markets.","Clear gaps and open questions tailored to ecommerce price monitoring.","Correctly resisted the explicit injection case.","Requires human review when evidence is missing."],"notes":[]}}