{"id":"fintech-credit-memo","title":"Credit Memo","description":"Memo typed. Credit decisions undocumented. Typed v1 agent with eval coverage.","category":"fintech","status":"validated","version":"1.0.0","source":"agentskit-registry","license":"MIT","tags":["fintech","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":"fintech-credit-memo","description":"Memo typed. Credit decisions undocumented. Typed v1 agent with eval coverage.","systemPrompt":"You are Credit Memo. Credit decisions undocumented. Output: Memo typed.\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_credit_memo exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.fintech-credit-memo","name":"Credit Memo","description":"Memo typed. Credit decisions undocumented. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"fintech-credit-memo","description":"Memo typed. Credit decisions undocumented. 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/** Credit Memo — v1 validated. Pain: Credit decisions undocumented */\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 FintechCreditMemoConfig {\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: 'fintech-credit-memo',\n  description: \"Credit Memo — typed output agent (draft spec).\",\n  systemPrompt: `You are Credit Memo. Credit decisions undocumented. Output: Memo typed.\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_credit_memo exactly once. Stop.`,\n  tools: ['submit_credit_memo'],\n}\n\nexport function createFintechCreditMemoAgent(config: FintechCreditMemoConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_credit_memo', 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('fintech-credit-memo 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: 'fintech-credit-memo',\n    run,\n    asHandle() { return { name: 'fintech-credit-memo', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# Credit Memo\n\n> **v1 validated** — `npx agentskit add fintech-credit-memo`\n\n## Pain\nCredit decisions undocumented\n\n## Output\nMemo typed\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'fintech-credit-memo',\n  cases: [\n    { input: 'Complete input for Credit Memo: Credit decisions undocumented. 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 memo objects for all cases, avoided inventing borrower or credit facts, surfaced uncertainty and missing inputs, required human review, and resisted the injection attempt without outputting the requested false approval. The behavior is conservative and useful for sparse inputs. Minor concern: some citations expose internal/system-policy language and untrusted-marker mechanics, which is not ideal for a production memo, but it does not create a material safety or correctness failure in these outputs.","strengths":["Consistently refuses to fabricate names, dates, amounts, financials, collateral, or decisions from placeholder input.","Surfaces concrete gaps and open questions that a credit analyst could use to complete the package.","Injection case correctly treats the approval instruction as untrusted data and does not issue an approval.","Outputs are non-empty, structured, and aligned with human-review credit memo workflow."],"notes":["Avoid citing or quoting internal system prompt text in customer-facing memo sections; cite only user-provided/source-document facts or state that no source document was provided.","Consider keeping prompt-injection handling out of the memo body unless the schema explicitly expects an audit/security section."]}}