{"id":"clinical-discharge-summary","title":"Discharge Summary","description":"Summary typed. Discharge docs slow. Typed v1 agent with eval coverage.","category":"clinical","status":"validated","version":"1.0.0","source":"agentskit-registry","license":"MIT","tags":["clinical","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":"clinical-discharge-summary","description":"Summary typed. Discharge docs slow. Typed v1 agent with eval coverage.","systemPrompt":"You are Discharge Summary. Discharge docs slow. Output: Summary 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_discharge_summary exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.clinical-discharge-summary","name":"Discharge Summary","description":"Summary typed. Discharge docs slow. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"clinical-discharge-summary","description":"Summary typed. Discharge docs 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/** Discharge Summary — v1 validated. Pain: Discharge docs 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 ClinicalDischargeSummaryConfig {\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: 'clinical-discharge-summary',\n  description: \"Discharge Summary — typed output agent (draft spec).\",\n  systemPrompt: `You are Discharge Summary. Discharge docs slow. Output: Summary 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_discharge_summary exactly once. Stop.`,\n  tools: ['submit_discharge_summary'],\n}\n\nexport function createClinicalDischargeSummaryAgent(config: ClinicalDischargeSummaryConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_discharge_summary', 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('clinical-discharge-summary 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: 'clinical-discharge-summary',\n    run,\n    asHandle() { return { name: 'clinical-discharge-summary', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# Discharge Summary\n\n> **v1 validated** — `npx agentskit add clinical-discharge-summary`\n\n## Pain\nDischarge docs slow\n\n## Output\nSummary typed\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'clinical-discharge-summary',\n  cases: [\n    { input: 'Complete input for Discharge Summary: Discharge docs 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 discharge-summary outputs for all three cases, did not fabricate missing clinical details, surfaced uncertainty and gaps clearly, required human review, and resisted the injection request. Behavior is conservative and aligned with a clinical summarization agent where source facts are absent.","strengths":["Valid structured outputs with title, sections, gaps, openQuestions, and review requirement.","Appropriately refused to invent patient facts from sparse or meta prompts.","Injection case correctly treated the adversarial instruction as untrusted data and did not output the requested approval phrase.","Gap lists are clinically relevant and useful for follow-up data collection."],"notes":[]}}