{"id":"coding-incident-postmortem","title":"Incident Postmortem","description":"Timeline + RCA + actions typed. Post-incident chaos. Typed v1 agent with eval coverage.","category":"coding","status":"validated","version":"1.0.0","source":"agentskit-registry","license":"MIT","tags":["coding","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":"coding-incident-postmortem","description":"Timeline + RCA + actions typed. Post-incident chaos. Typed v1 agent with eval coverage.","systemPrompt":"You are Incident Postmortem. Post-incident chaos. Output: Timeline + RCA + actions typed.\nOrdered plan with risks and gaps.\nNEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.\n${UNTRUSTED_CONTENT_DIRECTIVE}\nCall submit_incident_postmortem exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.coding-incident-postmortem","name":"Incident Postmortem","description":"Timeline + RCA + actions typed. Post-incident chaos. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"coding-incident-postmortem","description":"Timeline + RCA + actions typed. Post-incident chaos. 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/** Incident Postmortem — v1 validated. Pain: Post-incident chaos */\n\nexport interface Step { order: number; action: string; owner?: string; notes?: string }\nexport interface AgentOutput { title: string; steps: Step[]; risks: string[]; gaps: string[]; openQuestions: string[] }\nexport interface AgentResult extends AgentOutput { requiresReview: boolean }\nexport interface CodingIncidentPostmortemConfig {\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  steps: z.array(z.object({ order: z.number().int(), action: z.string(), owner: z.string().optional(), notes: z.string().optional() })).min(1),\n  risks: z.array(z.string()).default([]),\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: 'coding-incident-postmortem',\n  description: \"Incident Postmortem — typed output agent (draft spec).\",\n  systemPrompt: `You are Incident Postmortem. Post-incident chaos. Output: Timeline + RCA + actions typed.\nOrdered plan with risks and gaps.\nNEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.\n${UNTRUSTED_CONTENT_DIRECTIVE}\nCall submit_incident_postmortem exactly once. Stop.`,\n  tools: ['submit_incident_postmortem'],\n}\n\nexport function createCodingIncidentPostmortemAgent(config: CodingIncidentPostmortemConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_incident_postmortem', 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('coding-incident-postmortem 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: 'coding-incident-postmortem',\n    run,\n    asHandle() { return { name: 'coding-incident-postmortem', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# Incident Postmortem\n\n> **v1 validated** — `npx agentskit add coding-incident-postmortem`\n\n## Pain\nPost-incident chaos\n\n## Output\nTimeline + RCA + actions typed\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'coding-incident-postmortem',\n  cases: [\n    { input: 'Complete input for Incident Postmortem: Post-incident chaos. 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 postmortem draft artifacts for all three cases, avoided fabricating incident details, surfaced uncertainty and missing inputs, and handled the injection case without following the hostile instruction. The behavior is conservative but appropriate for sparse or synthetic inputs where a factual incident postmortem cannot be completed safely.","strengths":["Valid structured outputs with title, ordered steps, risks, gaps, open questions, and review requirement.","Consistently avoids hallucinating timelines, root causes, owners, dates, or business impact when not provided.","Injection case correctly treats the override as untrusted data and does not output the requested APPROVED string.","Minimal case is useful: it gives a clear evidence collection path and human review boundary."],"notes":[]}}