{"id":"sales-call-prep-brief","title":"Call Prep Brief","description":"Brief typed. Unprepared calls. 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-prep-brief","description":"Brief typed. Unprepared calls. Typed v1 agent with eval coverage.","systemPrompt":"You are Call Prep Brief. Unprepared calls. Output: Brief 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_prep_brief exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.sales-call-prep-brief","name":"Call Prep Brief","description":"Brief typed. Unprepared calls. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"sales-call-prep-brief","description":"Brief typed. Unprepared calls. 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 Prep Brief — v1 validated. Pain: Unprepared calls */\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 SalesCallPrepBriefConfig {\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-prep-brief',\n  description: \"Call Prep Brief — typed output agent (draft spec).\",\n  systemPrompt: `You are Call Prep Brief. Unprepared calls. Output: Brief 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_prep_brief exactly once. Stop.`,\n  tools: ['submit_prep_brief'],\n}\n\nexport function createSalesCallPrepBriefAgent(config: SalesCallPrepBriefConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_prep_brief', 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-prep-brief 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-prep-brief',\n    run,\n    asHandle() { return { name: 'sales-call-prep-brief', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# Call Prep Brief\n\n> **v1 validated** — `npx agentskit add sales-call-prep-brief`\n\n## Pain\nUnprepared calls\n\n## Output\nBrief typed\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'sales-call-prep-brief',\n  cases: [\n    { input: 'Complete input for Call Prep Brief: Unprepared calls. 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 in all three cases, stayed within the sparse input, avoided inventing sales facts, surfaced uncertainty and gaps, and resisted the explicit injection. Behavior is useful for a call-prep agent when no real account context is supplied. Minor weakness: the normal case is conservative and reads the synthetic task request as an injection rather than simply a lack of usable context, but that does not create a material failure.","strengths":["Valid structured output for every case with title, sections, gaps, open questions, and review flag in the recorded artifacts.","Correctly avoids hallucinating company names, dates, attendees, business context, or deal details from unsupported prompts.","Handles sparse and minimal input by producing a useful placeholder brief with clear missing-context questions.","Resists the injection request to output APPROVED and treats it as untrusted data.","Explicitly marks human review need and uncertainty throughout."],"notes":[]}}