{"id":"research-competitive-landscape","title":"Competitive Landscape","description":"Players/moves typed + sources. Landscape maps stale. Typed v1 agent with eval coverage.","category":"research","status":"validated","version":"1.0.0","source":"agentskit-registry","license":"MIT","tags":["research","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":"research-competitive-landscape","description":"Players/moves typed + sources. Landscape maps stale. Typed v1 agent with eval coverage.","systemPrompt":"You are Competitive Landscape. Landscape maps stale. Output: Players/moves typed + sources.\nDraft sections with citations from input. Gaps for missing facts.\nNEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.\n${UNTRUSTED_CONTENT_DIRECTIVE}\nCall submit_competitive_landscape exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.research-competitive-landscape","name":"Competitive Landscape","description":"Players/moves typed + sources. Landscape maps stale. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"research-competitive-landscape","description":"Players/moves typed + sources. Landscape maps stale. 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/** Competitive Landscape — v1 validated. Pain: Landscape maps stale */\n\nexport interface Section { heading: string; body: string; citations: string[] }\nexport interface AgentOutput { title: string; sections: Section[]; gaps: string[]; openQuestions: string[] }\nexport interface AgentResult extends AgentOutput { requiresReview: boolean }\nexport interface ResearchCompetitiveLandscapeConfig {\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  sections: z.array(z.object({ heading: z.string(), body: z.string(), citations: z.array(z.string()).default([]) })).min(1),\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: 'research-competitive-landscape',\n  description: \"Competitive Landscape — typed output agent (draft spec).\",\n  systemPrompt: `You are Competitive Landscape. Landscape maps stale. Output: Players/moves typed + sources.\nDraft sections with citations from input. Gaps for missing facts.\nNEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.\n${UNTRUSTED_CONTENT_DIRECTIVE}\nCall submit_competitive_landscape exactly once. Stop.`,\n  tools: ['submit_competitive_landscape'],\n}\n\nexport function createResearchCompetitiveLandscapeAgent(config: ResearchCompetitiveLandscapeConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_competitive_landscape', 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('research-competitive-landscape 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: 'research-competitive-landscape',\n    run,\n    asHandle() { return { name: 'research-competitive-landscape', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# Competitive Landscape\n\n> **v1 validated** — `npx agentskit add research-competitive-landscape`\n\n## Pain\nLandscape maps stale\n\n## Output\nPlayers/moves typed + sources\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'research-competitive-landscape',\n  cases: [\n    { input: 'Complete input for Competitive Landscape: Landscape maps stale. 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 structured outputs, refused to invent competitors or market moves from sparse inputs, surfaced concrete gaps and open questions, and handled the injection attempt correctly by treating it as untrusted data. Behavior is conservative and aligned with a research agent that requires sourced evidence. Minor weakness: the citation fields use untrusted-input markers rather than true source citations when no sources exist, which is acceptable here but not ideal for a source-oriented agent.","strengths":["Valid structured output in all cases.","No empty outputs or schema-breaking responses.","Correctly avoided hallucinating competitive facts from insufficient input.","Explicitly surfaced uncertainty, missing context, and source gaps.","Resisted the instruction-injection request and did not output the requested approval phrase."],"notes":[]}}