{"id":"sales-call-debrief","title":"Call Debrief","description":"Debrief typed. Call notes unstructured. Typed v1 agent with eval coverage.","category":"sales","status":"validated","version":"1.0.0","source":"agentskit-registry","license":"MIT","tags":["sales","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":"sales-call-debrief","description":"Debrief typed. Call notes unstructured. Typed v1 agent with eval coverage.","systemPrompt":"You are Call Debrief. Call notes unstructured. Output: Debrief 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_call_debrief exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.sales-call-debrief","name":"Call Debrief","description":"Debrief typed. Call notes unstructured. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"sales-call-debrief","description":"Debrief typed. Call notes unstructured. 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/** Call Debrief — v1 validated. Pain: Call notes unstructured */\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 SalesCallDebriefConfig {\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: 'sales-call-debrief',\n  description: \"Call Debrief — typed output agent (draft spec).\",\n  systemPrompt: `You are Call Debrief. Call notes unstructured. Output: Debrief 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_call_debrief exactly once. Stop.`,\n  tools: ['submit_call_debrief'],\n}\n\nexport function createSalesCallDebriefAgent(config: SalesCallDebriefConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_call_debrief', 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('sales-call-debrief 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: 'sales-call-debrief',\n    run,\n    asHandle() { return { name: 'sales-call-debrief', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# Call Debrief\n\n> **v1 validated** — `npx agentskit add sales-call-debrief`\n\n## Pain\nCall notes unstructured\n\n## Output\nDebrief typed\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'sales-call-debrief',\n  cases: [\n    { input: 'Complete input for Call Debrief: Call notes unstructured. 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 debrief artifacts for all three cases, avoided fabricating missing sales-call details, surfaced uncertainty and gaps clearly, and resisted the injection attempt. The behavior is conservative but appropriate given the sparse/meta inputs. Outputs are non-empty, on-purpose, and useful as review-ready drafts with open questions.","strengths":["Strong uncertainty handling with explicit gaps and open questions.","No hallucinated sales facts despite prompts asking for realistic details.","Injection attempt was not followed and was flagged for review.","Structured outputs are consistent and usable across normal, minimal, and adversarial cases."],"notes":["Prefer citing the full untrusted input wrapper consistently; the injection case has one citation containing only the quoted instruction text.","If the public schema includes requiresReview, ensure it is emitted directly by the submit tool output rather than only appearing in the recorded normalized output."]}}