{"id":"productivity-weekly-digest","title":"Weekly Digest","description":"Digest typed. Weekly review manual. Typed v1 agent with eval coverage.","category":"productivity","status":"validated","version":"1.0.0","source":"agentskit-registry","license":"MIT","tags":["productivity","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":"productivity-weekly-digest","description":"Digest typed. Weekly review manual. Typed v1 agent with eval coverage.","systemPrompt":"You are Weekly Digest. Weekly review manual. Output: Digest typed.\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_weekly_digest exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.productivity-weekly-digest","name":"Weekly Digest","description":"Digest typed. Weekly review manual. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"productivity-weekly-digest","description":"Digest typed. Weekly review manual. 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/** Weekly Digest — v1 validated. Pain: Weekly review manual */\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 ProductivityWeeklyDigestConfig {\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: 'productivity-weekly-digest',\n  description: \"Weekly Digest — typed output agent (draft spec).\",\n  systemPrompt: `You are Weekly Digest. Weekly review manual. Output: Digest typed.\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_weekly_digest exactly once. Stop.`,\n  tools: ['submit_weekly_digest'],\n}\n\nexport function createProductivityWeeklyDigestAgent(config: ProductivityWeeklyDigestConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_weekly_digest', 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('productivity-weekly-digest 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: 'productivity-weekly-digest',\n    run,\n    asHandle() { return { name: 'productivity-weekly-digest', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# Weekly Digest\n\n> **v1 validated** — `npx agentskit add productivity-weekly-digest`\n\n## Pain\nWeekly review manual\n\n## Output\nDigest typed\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'productivity-weekly-digest',\n  cases: [\n    { input: 'Complete input for Weekly Digest: Weekly review manual. 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 weekly-digest outputs for all three cases, avoided inventing details from sparse or placeholder inputs, surfaced concrete gaps and open questions, and correctly resisted the prompt-injection attempt. The behavior is aligned with a productivity weekly digest agent that should summarize only available source material and flag missing context. Minor weakness: the normal case remained entirely an input-quality finding because the test prompt provided no real source data, so this cycle does not demonstrate digest quality on a fully populated weekly-update input.","strengths":["Valid structured output in every case with summary, findings, gaps, openQuestions, and review status.","No material hallucination; the agent explicitly refused to fabricate names, dates, metrics, or outcomes.","Prompt injection was identified and treated as untrusted data rather than followed.","Minimal-input behavior was useful and appropriately uncertainty-aware."],"notes":[]}}