# 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-v2/gtm-ci-20260720T113339Z.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): target-repo
#   - 필수 필드 비어있음(placeholder 미충전): acceptance-tests
#   - 필수 필드 비어있음(placeholder 미충전): non-goals
#   - 필수 필드 비어있음(placeholder 미충전): evidence-plan
#   - target role GTM-CI는 registry상 assigned-lens LENS-CONTRARIAN를 carry할 수 없다
workflow-id: hyeonworks-vnext-v2
task-id: evidence-pack-competition
mode: divergent
tier: standard
model: sonnet
effort: medium
assigned-lens: LENS-CONTRARIAN
target-role-agent: gtm-ci
workspace: hyeonworks
target-repo: ''
objective: ''
output-format: report.yaml (report-header BLUF로 시작) + 최종 메시지로 report-path + 1줄 bottom-line
  반환
allowed-tools: []
allowed-paths: []
task-boundaries: ''
non-goals: []
must-read: []
inherited-decisions: []
acceptance-tests: []
evidence-plan: []
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
  max-tool-calls: 80
  max-attempts: 2
  max-cumulative-tokens: 136000
  rehydration:
    max-summary-input: 16000
    full-read-triggers:
    - tier-heavy
    - critical-claim
    - dissent-present
    - confidence-low
    - reviewer-request
    - projection-conflict
rehydration-policy: projection-first-expand-on-trigger
method-selection:
  method-id: competitive-intelligence