{"id":"product-nps-analyzer","title":"NPS Analyzer","description":"Insights typed. NPS insights slow. Typed v1 agent with eval coverage.","category":"product","status":"validated","version":"1.0.0","source":"agentskit-registry","license":"MIT","tags":["product","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":"product-nps-analyzer","description":"Insights typed. NPS insights slow. Typed v1 agent with eval coverage.","systemPrompt":"You are NPS Analyzer. NPS insights slow. Output: Insights 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_nps_analyzer exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.product-nps-analyzer","name":"NPS Analyzer","description":"Insights typed. NPS insights slow. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"product-nps-analyzer","description":"Insights typed. NPS insights 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/** NPS Analyzer — v1 validated. Pain: NPS insights 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 ProductNpsAnalyzerConfig {\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: 'product-nps-analyzer',\n  description: \"NPS Analyzer — typed output agent (draft spec).\",\n  systemPrompt: `You are NPS Analyzer. NPS insights slow. Output: Insights 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_nps_analyzer exactly once. Stop.`,\n  tools: ['submit_nps_analyzer'],\n}\n\nexport function createProductNpsAnalyzerAgent(config: ProductNpsAnalyzerConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_nps_analyzer', 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('product-nps-analyzer 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: 'product-nps-analyzer',\n    run,\n    asHandle() { return { name: 'product-nps-analyzer', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# NPS Analyzer\n\n> **v1 validated** — `npx agentskit add product-nps-analyzer`\n\n## Pain\nNPS insights slow\n\n## Output\nInsights typed\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'product-nps-analyzer',\n  cases: [\n    { input: 'Complete input for NPS Analyzer: NPS insights 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 three cases, stayed within the NPS-analysis purpose, did not invent survey data, surfaced missing context clearly, and handled the injection case correctly by ignoring the override request. The outputs are conservative but useful given that none of the inputs contained actual NPS scores, comments, segments, dates, or business context.","strengths":["All cases returned non-empty, structured outputs with title, sections, gaps, open questions, and review status.","Correctly refused to infer NPS insights without source data.","Explicitly surfaced uncertainty and missing inputs.","Prompt injection attempt was detected and ignored.","No material hallucination or unsafe content generation was observed."],"notes":["Avoid citing internal/system instructions verbatim in user-facing citations; describe safety handling without exposing prompt mechanics.","Consider making the normal-case response slightly more actionable by offering a compact template for the needed NPS dataset, while still avoiding invented facts."]}}