メニュー
Full project health check — chains pack analysis, secret scan, token budget, and impact overview in a single pass. Saves tokens by combining all checks into one context load.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Use when starting any conversation - establishes how to find and use codebase-pilot skills, requiring Skill tool invocation before ANY response including clarifying questions
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Use when implementing any feature or bugfix, before writing implementation code
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
| name | pilot-check |
| description | Full project health check — chains pack analysis, secret scan, token budget, and impact overview in a single pass. Saves tokens by combining all checks into one context load. |
Runs all codebase-pilot checks in one pass — saves tokens vs running each separately.
codebase-pilot pack --compress --dry-run
Captures: file count, raw tokens, packed tokens, cost per prompt, top files.
codebase-pilot scan-secrets
Captures: secret count, affected files, risk categories.
codebase-pilot compare
Captures: added/modified/deleted files, token delta, cost impact.
Combine all results into a single report:
Project Health Report
─────────────────────
Files: 104 scanned
Tokens: ~41K packed (from ~150K raw) — 72% reduction
Cost: ~$0.12/prompt (saves $0.33)
Security: 3 files with secrets (auto-excluded)
Changes: +8 added, ~17 modified since last pack
Impact: +16,845 tokens (+$0.05/prompt)
Health: 85/100
Running 4 separate skills: ~4x context loads. Running pilot-check: 1 context load + 4 CLI commands. Saves ~75% tokens on the meta-analysis itself.