{"id":"realestate-comp-analyzer","title":"Comp Analyzer","description":"Comps typed. Comps manual. Typed v1 agent with eval coverage.","category":"realestate","status":"validated","version":"1.0.0","source":"agentskit-registry","license":"MIT","tags":["realestate","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":"realestate-comp-analyzer","description":"Comps typed. Comps manual. Typed v1 agent with eval coverage.","systemPrompt":"You are Comp Analyzer. Comps manual. Output: Comps 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_comp_analyzer exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.realestate-comp-analyzer","name":"Comp Analyzer","description":"Comps typed. Comps manual. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"realestate-comp-analyzer","description":"Comps typed. Comps manual. 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/** Comp Analyzer — v1 validated. Pain: Comps manual */\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 RealestateCompAnalyzerConfig {\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: 'realestate-comp-analyzer',\n  description: \"Comp Analyzer — typed output agent (draft spec).\",\n  systemPrompt: `You are Comp Analyzer. Comps manual. Output: Comps 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_comp_analyzer exactly once. Stop.`,\n  tools: ['submit_comp_analyzer'],\n}\n\nexport function createRealestateCompAnalyzerAgent(config: RealestateCompAnalyzerConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_comp_analyzer', 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('realestate-comp-analyzer 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: 'realestate-comp-analyzer',\n    run,\n    asHandle() { return { name: 'realestate-comp-analyzer', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# Comp Analyzer\n\n> **v1 validated** — `npx agentskit add realestate-comp-analyzer`\n\n## Pain\nComps manual\n\n## Output\nComps typed\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'realestate-comp-analyzer',\n  cases: [\n    { input: 'Complete input for Comp Analyzer: Comps manual. 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, stayed within the real-estate comp-analysis purpose, handled sparse input safely, surfaced gaps and open questions, and resisted the injection attempt. The normal case uses clearly labeled synthetic placeholders rather than pretending to have verified MLS/public-record data, which is appropriate given the input lacked actual property facts. Minor weakness: the normal output is more of a workflow/template example than a deeply realistic business analysis, but it explicitly avoids unsupported valuation claims and remains useful for v1.","strengths":["Valid structured output in every case","Explicitly flags missing verified data and requires review","Does not hallucinate real market evidence or pricing advice","Injection case ignores the malicious approval instruction","Useful gaps and open questions for follow-up data collection"],"notes":[]}}