init: company-haness 설계

hyeonworks/state/context-packages/hyeonworks-vnext-v1-direction/DES-PROD-20260718T131418Z.pkg.yaml

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+# context-package — 단일 컴파일러(context_package.py --compile)가 발급한 스켈레톤.
+# spawn 전: 아래 placeholder를 채우고 `python3 .claude/hooks/context_package.py hyeonworks/state/context-packages/hyeonworks-vnext-v1-direction/DES-PROD-20260718T131418Z.pkg.yaml` 가
+# exit 0(통과)이어야 워커를 spawn한다. 스키마·규칙: org-os/06-agent-work/context-package-spec.yaml
+# 아직 채워야 하는 필드(발급 시점):
+#   - 필수 필드 비어있음(placeholder 미충전): objective
+#   - 필수 필드 비어있음(placeholder 미충전): allowed-tools
+#   - 필수 필드 비어있음(placeholder 미충전): task-boundaries
+#   - 필수 필드 비어있음(placeholder 미충전): must-read
+#   - 필수 필드 비어있음(placeholder 미충전): acceptance-tests
+#   - 필수 필드 비어있음(placeholder 미충전): non-goals
+#   - 필수 필드 비어있음(placeholder 미충전): evidence-plan
+#   - DES-PROD: standard/heavy 는 method-selection.method-id 필수(auto-infer 금지)
+workflow-id: hyeonworks-vnext-v1-direction
+task-id: review-r2-product-fit
+mode: divergent
+tier: standard
+model: sonnet
+effort: medium
+assigned-lens: product-fit
+target-role-agent: DES-PROD
+workspace: hyeonworks
+target-repo: hyeonworks
+objective: >-
+  Ledger Studio revision 2가 깊이 학습 약속을 causal hypothesis와 constructed explanation으로 실제 충족하는지
+  product-fit 렌즈로만 독립 재감사하고 지정 report를 작성한다.
+output-format: report.yaml (report-header BLUF로 시작) + 최종 메시지로 report-path + 1줄 bottom-line
+  반환
+allowed-tools: [Read, view_image, exec_command, apply_patch]
+task-boundaries: >-
+  product-fit만 평가하고 다른 lens/review를 읽지 않는다. prototype은 수정하지 않으며
+  DES-PROD-20260718T131443Z.report.yaml 한 파일만 작성한다.
+non-goals: [사용성·시각·시장·구현성 판정, 방향 재선택, 실제 학습 효과 주장, 외부 네트워크]
+must-read:
+  - hyeonworks/completion-records/hyeonworks-vnext-v1-direction/ENG-FE-20260718T131305Z.report.yaml
+  - hyeonworks/completion-records/hyeonworks-vnext-v1-direction/DES-DIRECTOR-20260718T115933Z.report.yaml
+inherited-decisions:
+  - {decision-id: DES-DIRECTOR-20260718T115933Z, summary: "ledger-studio와 5개 locked invariant"}
+acceptance-tests:
+  - criterion: "exact revision-2 winner id/SHA와 product-fit verdict/findings를 포함한다."
+    verify: "python3 .claude/hooks/validate_report.py hyeonworks/completion-records/hyeonworks-vnext-v1-direction/DES-PROD-20260718T131443Z.report.yaml"
+evidence-plan:
+  - {claim: "deep-mechanism promise와 observable learning gates 정합", grade: E3, receipt: "exact winner source, state previews and live flow"}
+expected-output:
+  report-header:
+    bottom-line: ''
+    decision-needed:
+      needed: false
+      approver: null
+    confidence:
+      value: Med
+      derived-from: evidence
+    risks: []
+    evidence: []
+token-budget:
+  max-input-tokens: 60000
+  max-output-tokens: 8000
+method-selection:
+  method-id: post-direction
+  candidates:
+  - pre-direction
+  - post-direction