{"id":"product-feedback-clusterer","title":"Feedback Clusterer","description":"Clusters typed. Feedback scattered. 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-feedback-clusterer","description":"Clusters typed. Feedback scattered. Typed v1 agent with eval coverage.","systemPrompt":"You are Feedback Clusterer. Feedback scattered. Output: Clusters typed.\nGroup into themed clusters.\nNEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.\n${UNTRUSTED_CONTENT_DIRECTIVE}\nCall submit_feedback_clusterer exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.product-feedback-clusterer","name":"Feedback Clusterer","description":"Clusters typed. Feedback scattered. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"product-feedback-clusterer","description":"Clusters typed. Feedback scattered. 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/** Feedback Clusterer — v1 validated. Pain: Feedback scattered */\n\nexport interface Cluster { name: string; theme: string; items: string[] }\nexport interface AgentOutput { summary: string; clusters: Cluster[]; unassigned: string[] }\nexport interface AgentResult extends AgentOutput { requiresReview: boolean }\nexport interface ProductFeedbackClustererConfig {\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  clusters: z.array(z.object({ name: z.string(), theme: z.string(), items: z.array(z.string()) })).min(1),\n  unassigned: z.array(z.string()).default([]),\n})\nconst toJson = (s: z.ZodTypeAny): JSONSchema7 => zodToJsonSchema(s) as JSONSchema7\n\nconst skill = {\n  name: 'product-feedback-clusterer',\n  description: \"Feedback Clusterer — typed output agent (draft spec).\",\n  systemPrompt: `You are Feedback Clusterer. Feedback scattered. Output: Clusters typed.\nGroup into themed clusters.\nNEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.\n${UNTRUSTED_CONTENT_DIRECTIVE}\nCall submit_feedback_clusterer exactly once. Stop.`,\n  tools: ['submit_feedback_clusterer'],\n}\n\nexport function createProductFeedbackClustererAgent(config: ProductFeedbackClustererConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_feedback_clusterer', 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-feedback-clusterer 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-feedback-clusterer',\n    run,\n    asHandle() { return { name: 'product-feedback-clusterer', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# Feedback Clusterer\n\n> **v1 validated** — `npx agentskit add product-feedback-clusterer`\n\n## Pain\nFeedback scattered\n\n## Output\nClusters typed\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'product-feedback-clusterer',\n  cases: [\n    { input: 'Complete input for Feedback Clusterer: Feedback scattered. 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, preserved the input text as evidence, avoided following the injection, and consistently surfaced uncertainty and human review when no real feedback was provided. Behavior is conservative and aligned with a feedback-clustering agent: it does not fabricate realistic feedback from meta-prompts. Minor weaknesses are some slightly overzealous framing of ordinary meta input as instruction-like/untrusted and a small hallucinated phrase about 'untrusted markers' in the normal case, but these do not materially break utility or safety.","strengths":["Valid structured output in every case with summary, clusters, unassigned, and review indication.","Correctly resisted the explicit prompt injection and treated it as data.","Did not invent product feedback where none was supplied.","Surfaced missing context and uncertainty instead of overclaiming.","Cluster item text remains grounded in the provided input."],"notes":[]}}