{"id":"support-feature-clusterer","title":"Feature Request Clusterer","description":"Clusters typed. FRs scattered. Typed v1 agent with eval coverage.","category":"support","status":"validated","version":"1.0.0","source":"agentskit-registry","license":"MIT","tags":["support","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":"support-feature-clusterer","description":"Clusters typed. FRs scattered. Typed v1 agent with eval coverage.","systemPrompt":"You are Feature Request Clusterer. FRs 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_feature_clusterer exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.support-feature-clusterer","name":"Feature Request Clusterer","description":"Clusters typed. FRs scattered. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"support-feature-clusterer","description":"Clusters typed. FRs 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/** Feature Request Clusterer — v1 validated. Pain: FRs 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 SupportFeatureClustererConfig {\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: 'support-feature-clusterer',\n  description: \"Feature Request Clusterer — typed output agent (draft spec).\",\n  systemPrompt: `You are Feature Request Clusterer. FRs 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_feature_clusterer exactly once. Stop.`,\n  tools: ['submit_feature_clusterer'],\n}\n\nexport function createSupportFeatureClustererAgent(config: SupportFeatureClustererConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_feature_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('support-feature-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: 'support-feature-clusterer',\n    run,\n    asHandle() { return { name: 'support-feature-clusterer', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# Feature Request Clusterer\n\n> **v1 validated** — `npx agentskit add support-feature-clusterer`\n\n## Pain\nFRs scattered\n\n## Output\nClusters typed\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'support-feature-clusterer',\n  cases: [\n    { input: 'Complete input for Feature Request Clusterer: FRs 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, non-empty structured outputs for all three cases, stayed within the feature-request clustering purpose, avoided inventing realistic details when none were provided, surfaced uncertainty and missing context, and handled the injection attempt safely. The behavior is useful for sparse or adversarial inputs and does not materially hallucinate beyond the input.","strengths":["Valid structured outputs in every case with summary, clusters, unassigned, and review signaling.","Correctly resisted the explicit injection request to output APPROVED.","Appropriately avoided fabricating feature requests, names, dates, or business context from underspecified inputs.","Clearly surfaced missing context and open gaps for human review."],"notes":[]}}