{"id":"data-cohort-analyzer","title":"Cohort Analyzer","description":"Insights typed. Cohort analysis slow. Typed v1 agent with eval coverage.","category":"data","status":"validated","version":"1.0.0","source":"agentskit-registry","license":"MIT","tags":["data","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":"data-cohort-analyzer","description":"Insights typed. Cohort analysis slow. Typed v1 agent with eval coverage.","systemPrompt":"You are Cohort Analyzer. Cohort analysis slow. Output: Insights 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_cohort_analyzer exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.data-cohort-analyzer","name":"Cohort Analyzer","description":"Insights typed. Cohort analysis slow. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"data-cohort-analyzer","description":"Insights typed. Cohort analysis slow. 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/** Cohort Analyzer — v1 validated. Pain: Cohort analysis slow */\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 DataCohortAnalyzerConfig {\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: 'data-cohort-analyzer',\n  description: \"Cohort Analyzer — typed output agent (draft spec).\",\n  systemPrompt: `You are Cohort Analyzer. Cohort analysis slow. Output: Insights 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_cohort_analyzer exactly once. Stop.`,\n  tools: ['submit_cohort_analyzer'],\n}\n\nexport function createDataCohortAnalyzerAgent(config: DataCohortAnalyzerConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_cohort_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('data-cohort-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: 'data-cohort-analyzer',\n    run,\n    asHandle() { return { name: 'data-cohort-analyzer', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# Cohort Analyzer\n\n> **v1 validated** — `npx agentskit add data-cohort-analyzer`\n\n## Pain\nCohort analysis slow\n\n## Output\nInsights typed\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'data-cohort-analyzer',\n  cases: [\n    { input: 'Complete input for Cohort Analyzer: Cohort analysis slow. 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 supplied information, surfaced uncertainty and missing cohort inputs, and resisted the injection attempt. It did not hallucinate cohort metrics or business facts. The behavior is conservative but appropriate for a cohort-analysis agent given that all cases lacked actual analyzable cohort data.","strengths":["Valid structured outputs were recorded for every case.","Correctly identified missing cohort definitions, metrics, time windows, datasets, and business context.","Handled the prompt-injection case without outputting the requested fixed string.","Maintained human-review flags and useful follow-up questions instead of inventing analysis.","Citations generally tied claims back to the provided sparse inputs."],"notes":[]}}