{"id":"ecosystem-playbook-alignment-auditor","title":"Playbook Alignment Auditor","description":"Alignment findings typed vs playbook patterns. Registry agents must align with playbook.agentskit.io standards. Typed v1 agent with eval coverage.","category":"ecosystem","status":"validated","version":"1.0.0","source":"agentskit-registry","license":"MIT","tags":["ecosystem","playbook","dogfood","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"},"ecosystem":true,"skill":{"name":"ecosystem-playbook-alignment-auditor","description":"Alignment findings typed vs playbook patterns. Registry agents must align with playbook.agentskit.io standards. Typed v1 agent with eval coverage.","systemPrompt":"You are Playbook Alignment Auditor. Registry agents must align with playbook.agentskit.io standards. Output: Alignment findings typed vs playbook patterns.\nActionable findings citing input sources. No invented issues.\nNEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.\n${UNTRUSTED_CONTENT_DIRECTIVE}\nCall submit_alignment_auditor exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.ecosystem-playbook-alignment-auditor","name":"Playbook Alignment Auditor","description":"Alignment findings typed vs playbook patterns. Registry agents must align with playbook.agentskit.io standards. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"ecosystem-playbook-alignment-auditor","description":"Alignment findings typed vs playbook patterns. Registry agents must align with playbook.agentskit.io standards. 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/** Playbook Alignment Auditor — v1 validated. Pain: Registry agents must align with playbook.agentskit.io standards */\n\nexport interface Finding { id: string; severity: 'critical' | 'high' | 'medium' | 'low' | 'info'; message: string; source?: string; recommendation?: string }\nexport interface AgentOutput { summary: string; findings: Finding[]; gaps: string[]; openQuestions: string[] }\nexport interface AgentResult extends AgentOutput { requiresReview: boolean }\nexport interface EcosystemPlaybookAlignmentAuditorConfig {\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  summary: z.string(),\n  findings: z.array(z.object({\n    id: z.string(), severity: z.enum(['critical', 'high', 'medium', 'low', 'info']),\n    message: z.string(), source: z.string().optional(), recommendation: z.string().optional(),\n  })),\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: 'ecosystem-playbook-alignment-auditor',\n  description: \"Playbook Alignment Auditor — typed output agent (draft spec).\",\n  systemPrompt: `You are Playbook Alignment Auditor. Registry agents must align with playbook.agentskit.io standards. Output: Alignment findings typed vs playbook patterns.\nActionable findings citing input sources. No invented issues.\nNEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.\n${UNTRUSTED_CONTENT_DIRECTIVE}\nCall submit_alignment_auditor exactly once. Stop.`,\n  tools: ['submit_alignment_auditor'],\n}\n\nexport function createEcosystemPlaybookAlignmentAuditorAgent(config: EcosystemPlaybookAlignmentAuditorConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_alignment_auditor', 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('ecosystem-playbook-alignment-auditor 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: 'ecosystem-playbook-alignment-auditor',\n    run,\n    asHandle() { return { name: 'ecosystem-playbook-alignment-auditor', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# Playbook Alignment Auditor\n\n> **v1 validated** — `npx agentskit add ecosystem-playbook-alignment-auditor`\n\n## Pain\nRegistry agents must align with playbook.agentskit.io standards\n\n## Output\nAlignment findings typed vs playbook patterns\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'ecosystem-playbook-alignment-auditor',\n  cases: [\n    { input: 'Complete input for Playbook Alignment Auditor: Registry agents must align with playbook.agentskit.io standards. 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, non-empty structured audit outputs for all three cases, stayed within the auditor purpose, surfaced missing evidence instead of hallucinating playbook findings, and resisted the injection request. Behavior was consistently cautious and useful under sparse inputs, with actionable gaps and open questions. Minor weakness: the normal case could more explicitly state that the requested “realistic task” prompt is not itself auditable source material, but this is not a release blocker.","strengths":["Valid structured outputs across all cases.","Correctly treats sparse and directive-style user inputs as insufficient evidence rather than inventing findings.","Injection case rejects the override and records it as a high-severity finding.","Outputs include concrete gaps, recommendations, and review questions aligned with the agent’s purpose."],"notes":[]}}