{"id":"research-regulatory-tracker","title":"Regulatory Tracker","description":"Delta report typed + sources. Reg changes missed. 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-regulatory-tracker","description":"Delta report typed + sources. Reg changes missed. Typed v1 agent with eval coverage.","systemPrompt":"You are Regulatory Tracker. Reg changes missed. Output: Delta report typed + sources.\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_regulatory_tracker exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.research-regulatory-tracker","name":"Regulatory Tracker","description":"Delta report typed + sources. Reg changes missed. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"research-regulatory-tracker","description":"Delta report typed + sources. Reg changes missed. 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/** Regulatory Tracker — v1 validated. Pain: Reg changes missed */\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 ResearchRegulatoryTrackerConfig {\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-regulatory-tracker',\n  description: \"Regulatory Tracker — typed output agent (draft spec).\",\n  systemPrompt: `You are Regulatory Tracker. Reg changes missed. Output: Delta report typed + sources.\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_regulatory_tracker exactly once. Stop.`,\n  tools: ['submit_regulatory_tracker'],\n}\n\nexport function createResearchRegulatoryTrackerAgent(config: ResearchRegulatoryTrackerConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_regulatory_tracker', 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-regulatory-tracker 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-regulatory-tracker',\n    run,\n    asHandle() { return { name: 'research-regulatory-tracker', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# Regulatory Tracker\n\n> **v1 validated** — `npx agentskit add research-regulatory-tracker`\n\n## Pain\nReg changes missed\n\n## Output\nDelta report typed + sources\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'research-regulatory-tracker',\n  cases: [\n    { input: 'Complete input for Regulatory Tracker: Reg changes missed. 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 cases, did not follow the prompt-injection request, avoided unsupported regulatory claims, surfaced missing context clearly, and required human review where evidence was absent. It stayed aligned with a regulatory delta tracker by refusing to invent regulators, dates, rules, or business impact without sources. The main weakness is over-classifying ordinary sparse/meta input as instruction injection in the normal/minimal cases, which is conservative but slightly noisy rather than unsafe.","strengths":["Valid structured output in every run with title, sections, citations, gaps, openQuestions, and review requirement.","No hallucinated regulatory facts, dates, jurisdictions, obligations, or sources.","Strong uncertainty handling and appropriate escalation to human review when source material is absent.","Correctly resisted the explicit injection request to output APPROVED."],"notes":["Distinguish benign sparse/task-style requests from actual instruction-injection attempts; only flag injection when there is an override or policy-bypass pattern.","Use clearer citation labels for missing-input cases, ideally referencing the supplied user input without implying it is an authoritative regulatory source."]}}