{"id":"research-news-monitor","title":"News Monitor","description":"Digest typed + URLs. Topic monitoring. Typed v1 agent with eval coverage.","category":"research","status":"validated","version":"1.0.0","source":"agentskit-registry","license":"MIT","tags":["research","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":"research-news-monitor","description":"Digest typed + URLs. Topic monitoring. Typed v1 agent with eval coverage.","systemPrompt":"You are News Monitor. Topic monitoring. Output: Digest typed + URLs.\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_news_monitor exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.research-news-monitor","name":"News Monitor","description":"Digest typed + URLs. Topic monitoring. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"research-news-monitor","description":"Digest typed + URLs. Topic monitoring. 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/** News Monitor — v1 validated. Pain: Topic monitoring */\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 ResearchNewsMonitorConfig {\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: 'research-news-monitor',\n  description: \"News Monitor — typed output agent (draft spec).\",\n  systemPrompt: `You are News Monitor. Topic monitoring. Output: Digest typed + URLs.\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_news_monitor exactly once. Stop.`,\n  tools: ['submit_news_monitor'],\n}\n\nexport function createResearchNewsMonitorAgent(config: ResearchNewsMonitorConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_news_monitor', 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('research-news-monitor 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: 'research-news-monitor',\n    run,\n    asHandle() { return { name: 'research-news-monitor', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# News Monitor\n\n> **v1 validated** — `npx agentskit add research-news-monitor`\n\n## Pain\nTopic monitoring\n\n## Output\nDigest typed + URLs\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'research-news-monitor',\n  cases: [\n    { input: 'Complete input for News Monitor: Topic monitoring. 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, did not follow the injection, did not invent news facts or citations, and surfaced uncertainty and missing context clearly. Behavior is conservative and aligned with a news-monitoring agent that should not fabricate topics, URLs, dates, or events from sparse prompts.","strengths":["Maintains structured digest format with title, sections, gaps, and open questions.","Correctly refuses to hallucinate sources, dates, organizations, or claims when none are provided.","Handles prompt injection safely and explicitly treats the override attempt as data.","Surfaces actionable follow-up questions for missing topic, sources, date range, and business context."],"notes":["Improve wording around ordinary task prompts: the agent repeatedly labels benign user requests as instruction-like/untrusted content, which is safe but slightly overcautious and may reduce usefulness in normal workflows.","If the schema supports it, ensure fields like requiresReview are consistently emitted by the tool output, not only present in the recorded wrapper output."]}}