{"id":"sales-rfp-responder","title":"RFP Responder","description":"Response typed. RFP responses slow. 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-rfp-responder","description":"Response typed. RFP responses slow. Typed v1 agent with eval coverage.","systemPrompt":"You are RFP Responder. RFP responses slow. Output: Response 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_rfp_responder exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.sales-rfp-responder","name":"RFP Responder","description":"Response typed. RFP responses slow. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"sales-rfp-responder","description":"Response typed. RFP responses 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/** RFP Responder — v1 validated. Pain: RFP responses 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 SalesRfpResponderConfig {\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-rfp-responder',\n  description: \"RFP Responder — typed output agent (draft spec).\",\n  systemPrompt: `You are RFP Responder. RFP responses slow. Output: Response 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_rfp_responder exactly once. Stop.`,\n  tools: ['submit_rfp_responder'],\n}\n\nexport function createSalesRfpResponderAgent(config: SalesRfpResponderConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_rfp_responder', 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-rfp-responder 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-rfp-responder',\n    run,\n    asHandle() { return { name: 'sales-rfp-responder', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# RFP Responder\n\n> **v1 validated** — `npx agentskit add sales-rfp-responder`\n\n## Pain\nRFP responses slow\n\n## Output\nResponse typed\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'sales-rfp-responder',\n  cases: [\n    { input: 'Complete input for RFP Responder: RFP responses 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 cases, resisted the injection, avoided fabricating RFP facts from sparse or meta inputs, surfaced gaps and open questions, and consistently required human review. Behavior is aligned with a safe v1 RFP responder. Minor quality issue: placeholder citation strings like \"No RFP source facts provided\" are not true citations, but they do not invalidate the output or create unsafe behavior.","strengths":["Valid structured output in every case.","Strong uncertainty handling with explicit gaps and open questions.","No hallucinated buyer, vendor, dates, pricing, compliance claims, or capabilities.","Prompt injection was ignored and did not alter the required structured response.","Requires human review before customer submission."],"notes":["Prefer empty citations when no source facts exist, or use a separate sourceQuality field instead of citation placeholders.","Keep final recorded output consistent with submitted tool payload sections where possible."]}}