init: company-haness 설계
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# context-package — 단일 컴파일러(context_package.py --compile)가 발급한 스켈레톤.
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# spawn 전: 아래 placeholder를 채우고 `python3 .claude/hooks/context_package.py hyeonworks/state/context-packages/hyeonworks-vnext-v1-direction/DES-PROD-20260718T135944Z.pkg.yaml` 가
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# exit 0(통과)이어야 워커를 spawn한다. 스키마·규칙: org-os/06-agent-work/context-package-spec.yaml
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# 아직 채워야 하는 필드(발급 시점):
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# - 필수 필드 비어있음(placeholder 미충전): allowed-tools
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# - 필수 필드 비어있음(placeholder 미충전): task-boundaries
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# - 필수 필드 비어있음(placeholder 미충전): must-read
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# - 필수 필드 비어있음(placeholder 미충전): acceptance-tests
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# - 필수 필드 비어있음(placeholder 미충전): non-goals
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# - 필수 필드 비어있음(placeholder 미충전): evidence-plan
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# - DES-PROD: standard/heavy 는 method-selection.method-id 필수(auto-infer 금지)
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workflow-id: hyeonworks-vnext-v1-direction
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task-id: review-product-fit-r3
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mode: divergent
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tier: standard
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model: sonnet
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effort: medium
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assigned-lens: product-fit
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target-role-agent: DES-PROD
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workspace: hyeonworks
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target-repo: hyeonworks
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objective: exact revision-3 winner ENG-FE-20260718T135811Z를 product-fit 렌즈로 독립 재검토한다.
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output-format: report.yaml (report-header BLUF로 시작) + 최종 메시지로 report-path + 1줄 bottom-line
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반환
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allowed-tools: [Read, view_image, exec_command, apply_patch]
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task-boundaries: >-
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product-fit만 평가한다. 이전 lens review는 읽지 않고 prototype은 수정하지 않으며
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DES-PROD-20260718T140000Z.report.yaml만 작성한다. exact target은 ENG-FE-20260718T135811Z / 735d588bef412dd3c59899d393562ae76a67a55bbe9f507ddf38eeab1481e9f0이다.
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non-goals: [다른 lens 판정, prototype 수정, 방향 재선택, 사용자 학습효과 주장, 외부 네트워크]
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must-read:
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- hyeonworks/completion-records/hyeonworks-vnext-v1-direction/ENG-FE-20260718T135811Z.report.yaml
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- hyeonworks/completion-records/hyeonworks-vnext-v1-direction/DES-DIRECTOR-20260718T115933Z.report.yaml
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- hyeonworks/design-direction/hyeonworks-vnext-v1/prototype/core-flow.yaml
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- hyeonworks/design-direction/hyeonworks-vnext-v1/prototype/dist/app.js
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- hyeonworks/design-direction/hyeonworks-vnext-v1/prototype/state-previews
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inherited-decisions:
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- {decision-id: DES-DIRECTOR-20260718T115933Z, summary: "ledger-studio와 5개 locked invariant"}
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acceptance-tests:
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- criterion: "exact R3 winner id/SHA와 product-fit verdict/findings를 포함한다."
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verify: "python3 .claude/hooks/validate_report.py hyeonworks/completion-records/hyeonworks-vnext-v1-direction/DES-PROD-20260718T140000Z.report.yaml"
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evidence-plan:
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- {claim: "deep-mechanism promise와 observable learning gates 정합", grade: E3, receipt: "exact winner source, state renders and live browser receipt"}
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expected-output:
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report-header:
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bottom-line: ''
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decision-needed:
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needed: false
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approver: null
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confidence:
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value: Med
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derived-from: evidence
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risks: []
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evidence: []
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token-budget:
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max-input-tokens: 60000
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max-output-tokens: 8000
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method-selection:
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method-id: post-direction
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candidates:
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- pre-direction
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- post-direction
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