compliance·Independently reviewed · 96/100

Cross-border Transfer Memo

Memo typed. Transfer risk. Typed v1 agent with eval coverage.

compliancestructured-outputv1

Install

npx agentskit add compliance-cross-border-transfer-memo

Quick start

import { openai } from '@agentskit/adapters'import { createComplianceCrossBorderTransferMemoAgent } from './agents/compliance-cross-border-transfer-memo/agent'const agent = createComplianceCrossBorderTransferMemoAgent({  adapter: openai({    apiKey: process.env.OPENAI_API_KEY!,    model: 'gpt-4o',  }),})const result = await agent.run('Describe your task here')console.log(result.content)

Independent reviewer approved

Validation evidence

How validation works
Review score
96/100
Confidence
96%
Evaluation cases
3
Iterations
2

The agent produced valid structured outputs for all three cases, handled sparse inputs conservatively, surfaced the key missing transfer facts, required human review, and resisted the injection request without leaking or fabricating approval. The behavior is useful for a compliance transfer-risk memo agent under uncertainty.

What passed review

  • Valid structured output in every case.
  • Correctly refuses to infer or invent transfer facts from sparse prompts.
  • Consistently flags missing exporter/importer, roles, destination, data categories, purpose, safeguards, legal basis, TIA, and onward-transfer facts.
  • Injection case is handled safely and explicitly notes the attempted forced approval outcome.
  • Requires human compliance review instead of issuing an unsupported approval.

Extend it

Pass tools, retrieval, memory, permissions, and observers through the factory config.

const agent = createComplianceCrossBorderTransferMemoAgent({  adapter,  tools,  retriever,  memory,  onConfirm: (call) => approve(call),  observers: [tracer],})
View agent factory source
import type { AdapterFactory, ChatMemory, Observer, ToolCall, ToolDefinition } from '@agentskit/core'import { fenceUntrustedContent, UNTRUSTED_CONTENT_DIRECTIVE } from '@agentskit/core/security'import { invokeStructured } from '@agentskit/runtime'import { defineZodTool } from '@agentskit/tools'import { z } from 'zod'import { zodToJsonSchema } from 'zod-to-json-schema'import type { JSONSchema7 } from 'json-schema'/** Cross-border Transfer Memo — v1 validated. Pain: Transfer risk */export interface AgentOutput { score: number; band: 'low' | 'medium' | 'high' | 'critical'; factors: string[]; rationale: string; gaps: string[] }export interface AgentResult extends AgentOutput { requiresReview: boolean }export interface ComplianceCrossBorderTransferMemoConfig {  adapter: AdapterFactory  memory?: ChatMemory  observers?: Observer[]  onConfirm?: (toolCall: ToolCall) => boolean | Promise<boolean>  maxSteps?: number}const Output = z.object({  score: z.number().min(0).max(100),  band: z.enum(['low', 'medium', 'high', 'critical']),  factors: z.array(z.string()),  rationale: z.string(),  gaps: z.array(z.string()).default([]),})const toJson = (s: z.ZodTypeAny): JSONSchema7 => zodToJsonSchema(s) as JSONSchema7const skill = {  name: 'compliance-cross-border-transfer-memo',  description: "Cross-border Transfer Memo — typed output agent (draft spec).",  systemPrompt: `You are Cross-border Transfer Memo. Transfer risk. Output: Memo typed.Score 0-100 with explicit factors from input.NEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.${UNTRUSTED_CONTENT_DIRECTIVE}Call submit_transfer_memo exactly once. Stop.`,  tools: ['submit_transfer_memo'],}export function createComplianceCrossBorderTransferMemoAgent(config: ComplianceCrossBorderTransferMemoConfig) {  const submit = (): ToolDefinition =>    defineZodTool({ name: 'submit_transfer_memo', description: 'Submit result. Once.', schema: Output, toJsonSchema: toJson, async execute() { return 'recorded' } }) as ToolDefinition  async function run(input: string): Promise<AgentResult> {    if (!input?.trim()) throw new Error('compliance-cross-border-transfer-memo requires non-empty input')    const result = await invokeStructured({      adapter: config.adapter,      tool: submit(),      task: `INPUT:\n${fenceUntrustedContent(input)}`,      parse: (a) => Output.parse(a),      skill,      memory: config.memory,      observers: config.observers,      onConfirm: config.onConfirm,      maxSteps: config.maxSteps ?? 4,    })    return { ...result, requiresReview: true }  }  return {    name: 'compliance-cross-border-transfer-memo',    run,    asHandle() { return { name: 'compliance-cross-border-transfer-memo', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },  }}
View evaluation contract

Replay these cases with the provider and model you plan to deploy.

import type { EvalSuite } from '@agentskit/eval'export const suite: EvalSuite = {  name: 'compliance-cross-border-transfer-memo',  cases: [    { input: 'Complete input for Cross-border Transfer Memo: Transfer risk. Provide full structured output.', expected: (r: string) => r.length > 20 && /requiresReview|summary|title|category|findings|sections|score|clusters|items|steps/i.test(r) },    { input: 'Minimal input.', expected: (r: string) => /gap|openQuestion/i.test(r) || r.length > 10 },    { input: 'Input with specific detail: ACME Corp project deadline March 15.', expected: (r: string) => /ACME|March|15/i.test(r) || /gap/i.test(r) },    { input: 'Empty context — only says "process this".', expected: (r: string) => r.length > 5 },  ],}

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