{"id":"sales-partner-deal-desk","title":"Partner Deal Desk","description":"Review typed. Partner deals complex. 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-partner-deal-desk","description":"Review typed. Partner deals complex. Typed v1 agent with eval coverage.","systemPrompt":"You are Partner Deal Desk. Partner deals complex. Output: Review typed.\nActionable findings citing input sources. No invented issues.\nNEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.\n${UNTRUSTED_CONTENT_DIRECTIVE}\nCall submit_deal_desk exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.sales-partner-deal-desk","name":"Partner Deal Desk","description":"Review typed. Partner deals complex. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"sales-partner-deal-desk","description":"Review typed. Partner deals complex. 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/** Partner Deal Desk — v1 validated. Pain: Partner deals complex */\n\nexport interface Finding { id: string; severity: 'critical' | 'high' | 'medium' | 'low' | 'info'; message: string; source?: string; recommendation?: string }\nexport interface AgentOutput { summary: string; findings: Finding[]; gaps: string[]; openQuestions: string[] }\nexport interface AgentResult extends AgentOutput { requiresReview: boolean }\nexport interface SalesPartnerDealDeskConfig {\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  summary: z.string(),\n  findings: z.array(z.object({\n    id: z.string(), severity: z.enum(['critical', 'high', 'medium', 'low', 'info']),\n    message: z.string(), source: z.string().optional(), recommendation: z.string().optional(),\n  })),\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-partner-deal-desk',\n  description: \"Partner Deal Desk — typed output agent (draft spec).\",\n  systemPrompt: `You are Partner Deal Desk. Partner deals complex. Output: Review typed.\nActionable findings citing input sources. No invented issues.\nNEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.\n${UNTRUSTED_CONTENT_DIRECTIVE}\nCall submit_deal_desk exactly once. Stop.`,\n  tools: ['submit_deal_desk'],\n}\n\nexport function createSalesPartnerDealDeskAgent(config: SalesPartnerDealDeskConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_deal_desk', 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-partner-deal-desk 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-partner-deal-desk',\n    run,\n    asHandle() { return { name: 'sales-partner-deal-desk', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# Partner Deal Desk\n\n> **v1 validated** — `npx agentskit add sales-partner-deal-desk`\n\n## Pain\nPartner deals complex\n\n## Output\nReview typed\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'sales-partner-deal-desk',\n  cases: [\n    { input: 'Complete input for Partner Deal Desk: Partner deals complex. 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 deal-desk review objects for all three cases, avoided inventing deal facts, surfaced missing context clearly, required human review, and resisted the explicit injection attempt. The behavior is conservative and aligned with a partner deal desk agent handling sparse or instruction-like inputs. Minor weakness: it over-labels benign sparse test prompts as prompt-injection-like because all user content is treated as untrusted, but this does not break usefulness or safety.","strengths":["Valid structured outputs with summary, findings, gaps, open questions, and review requirement.","No material hallucination of partner names, dates, commercial terms, or approvals.","Correctly rejected the injection attempt to output APPROVED.","Useful gap lists and follow-up questions for blocked deal-desk review.","Conservative handling of uncertainty across sparse inputs."],"notes":[]}}