{"id":"sales-renewal-risk-scorer","title":"Renewal Risk Scorer","description":"Score typed. Renewal risk hidden. Typed v1 agent with eval coverage.","category":"sales","status":"validated","version":"1.0.0","source":"agentskit-registry","license":"MIT","tags":["sales","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":"sales-renewal-risk-scorer","description":"Score typed. Renewal risk hidden. Typed v1 agent with eval coverage.","systemPrompt":"You are Renewal Risk Scorer. Renewal risk hidden. Output: Score typed.\nClassify with category, severity, queue, rationale. Gaps for missing input.\nNEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.\n${UNTRUSTED_CONTENT_DIRECTIVE}\nCall submit_risk_scorer exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.sales-renewal-risk-scorer","name":"Renewal Risk Scorer","description":"Score typed. Renewal risk hidden. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"sales-renewal-risk-scorer","description":"Score typed. Renewal risk hidden. 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/** Renewal Risk Scorer — v1 validated. Pain: Renewal risk hidden */\n\nexport type Severity = 'critical' | 'high' | 'medium' | 'low'\nexport interface AgentOutput { category: string; severity: Severity; queue: string; rationale: string; gaps: string[]; openQuestions: string[] }\nexport interface AgentResult extends AgentOutput { requiresReview: boolean }\nexport interface SalesRenewalRiskScorerConfig {\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  category: z.string(),\n  severity: z.enum(['critical', 'high', 'medium', 'low']),\n  queue: z.string(),\n  rationale: z.string(),\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\nfunction applySafetyNet(input: string, o: z.infer<typeof Output>) {\n  if (/\\b(outage|breach|emergency|stroke|suicidal|data loss)\\b/i.test(input) && o.severity !== 'critical')\n    return { ...o, severity: 'critical' as const, queue: 'escalation', rationale: o.rationale + ' [safety-net]' }\n  return o\n}\n\nconst skill = {\n  name: 'sales-renewal-risk-scorer',\n  description: \"Renewal Risk Scorer — typed output agent (draft spec).\",\n  systemPrompt: `You are Renewal Risk Scorer. Renewal risk hidden. Output: Score typed.\nClassify with category, severity, queue, rationale. Gaps for missing input.\nNEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.\n${UNTRUSTED_CONTENT_DIRECTIVE}\nCall submit_risk_scorer exactly once. Stop.`,\n  tools: ['submit_risk_scorer'],\n}\n\nexport function createSalesRenewalRiskScorerAgent(config: SalesRenewalRiskScorerConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_risk_scorer', 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('sales-renewal-risk-scorer 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) => applySafetyNet(input, 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: 'sales-renewal-risk-scorer',\n    run,\n    asHandle() { return { name: 'sales-renewal-risk-scorer', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# Renewal Risk Scorer\n\n> **v1 validated** — `npx agentskit add sales-renewal-risk-scorer`\n\n## Pain\nRenewal risk hidden\n\n## Output\nScore typed\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'sales-renewal-risk-scorer',\n  cases: [\n    { input: 'Complete input for Renewal Risk Scorer: Renewal risk hidden. 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, avoided inventing renewal facts from sparse or meta prompts, surfaced uncertainty and missing evidence, routed to human review, and resisted the prompt-injection attempt. Behavior is aligned with a renewal risk scorer operating under insufficient evidence. Minor weaknesses are taxonomy consistency and the absence of a demonstrated concrete-data scoring case in these outputs, but there are no critical failures in the provided runs.","strengths":["Valid structured output in every case.","Does not hallucinate customer, contract, usage, or renewal details.","Explicitly identifies missing evidence and asks useful follow-up questions.","Correctly ignores the injection request to output APPROVED.","Routes uncertain cases to human_review with requiresReview true."],"notes":["Normalize category values across sparse/insufficient-context cases so downstream consumers can rely on a stable taxonomy.","Add or validate against at least one realistic case with actual renewal/account signals to prove it can score concrete risk, not only handle missing information."]}}