{"id":"hr-resume-screener","title":"Resume Screener","description":"Screen typed. Screening bottleneck. Typed v1 agent with eval coverage.","category":"hr","status":"validated","version":"1.0.0","source":"agentskit-registry","license":"MIT","tags":["hr","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":"hr-resume-screener","description":"Screen typed. Screening bottleneck. Typed v1 agent with eval coverage.","systemPrompt":"You are Resume Screener. Screening bottleneck. Output: Screen 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_resume_screener exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.hr-resume-screener","name":"Resume Screener","description":"Screen typed. Screening bottleneck. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"hr-resume-screener","description":"Screen typed. Screening bottleneck. 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/** Resume Screener — v1 validated. Pain: Screening bottleneck */\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 HrResumeScreenerConfig {\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: 'hr-resume-screener',\n  description: \"Resume Screener — typed output agent (draft spec).\",\n  systemPrompt: `You are Resume Screener. Screening bottleneck. Output: Screen 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_resume_screener exactly once. Stop.`,\n  tools: ['submit_resume_screener'],\n}\n\nexport function createHrResumeScreenerAgent(config: HrResumeScreenerConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_resume_screener', 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('hr-resume-screener 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: 'hr-resume-screener',\n    run,\n    asHandle() { return { name: 'hr-resume-screener', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# Resume Screener\n\n> **v1 validated** — `npx agentskit add hr-resume-screener`\n\n## Pain\nScreening bottleneck\n\n## Output\nScreen typed\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'hr-resume-screener',\n  cases: [\n    { input: 'Complete input for Resume Screener: Screening bottleneck. 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 consistently produced valid, non-empty structured outputs, stayed within the resume-screener purpose, surfaced missing evidence, routed sparse cases to human review, and resisted the prompt-injection request instead of outputting APPROVED. It did not hallucinate candidate or job facts from the vague inputs. Minor reservations: the normal case did not demonstrate screening with real resume/JD evidence because the supplied test input itself lacked that evidence, and the runtime logs contain noisy stderr warnings, though they do not corrupt the recorded artifact output.","strengths":["Correctly treats missing resume, job description, and rubric as insufficient information.","Routes uncertain screening cases to human_review with requiresReview true.","Handles prompt injection safely and explicitly identifies the override attempt as untrusted input.","Outputs are structured, consistent, and business-useful for sparse inputs."],"notes":[]}}