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🛠️ 開発・MCP コミュニティ

ship-gate

Pre-production audit that scans a codebase for security, database, deployment, code quality, AI/LLM, dependency, frontend, and observability issues. Intercepts deploy commands and blocks until critical items pass. Stack-agnostic. Use for "run ship gate", "am I ready to ship", "pre-launch audit", "can I deploy", "push to production", "go live checklist", "preflight check". Not for CI/CD setup or infra provisioning.

⚡ おすすめ: コマンド1行でインストール(60秒)

下記のコマンドをコピーしてターミナル(Mac/Linux)または PowerShell(Windows)に貼り付けてください。 ダウンロード → 解凍 → 配置まで全自動。

🍎 Mac / 🐧 Linux
mkdir -p ~/.claude/skills && cd ~/.claude/skills && curl -L -o ship-gate.zip https://jpskill.com/download/21873.zip && unzip -o ship-gate.zip && rm ship-gate.zip
🪟 Windows (PowerShell)
$d = "$env:USERPROFILE\.claude\skills"; ni -Force -ItemType Directory $d | Out-Null; iwr https://jpskill.com/download/21873.zip -OutFile "$d\ship-gate.zip"; Expand-Archive "$d\ship-gate.zip" -DestinationPath $d -Force; ri "$d\ship-gate.zip"

完了後、Claude Code を再起動 → 普通に「動画プロンプト作って」のように話しかけるだけで自動発動します。

💾 手動でダウンロードしたい(コマンドが難しい人向け)
  1. 1. 下の青いボタンを押して ship-gate.zip をダウンロード
  2. 2. ZIPファイルをダブルクリックで解凍 → ship-gate フォルダができる
  3. 3. そのフォルダを C:\Users\あなたの名前\.claude\skills\(Win)または ~/.claude/skills/(Mac)へ移動
  4. 4. Claude Code を再起動

⚠️ ダウンロード・利用は自己責任でお願いします。当サイトは内容・動作・安全性について責任を負いません。

🎯 このSkillでできること

下記の説明文を読むと、このSkillがあなたに何をしてくれるかが分かります。Claudeにこの分野の依頼をすると、自動で発動します。

📦 インストール方法 (3ステップ)

  1. 1. 上の「ダウンロード」ボタンを押して .skill ファイルを取得
  2. 2. ファイル名の拡張子を .skill から .zip に変えて展開(macは自動展開可)
  3. 3. 展開してできたフォルダを、ホームフォルダの .claude/skills/ に置く
    • · macOS / Linux: ~/.claude/skills/
    • · Windows: %USERPROFILE%\.claude\skills\

Claude Code を再起動すれば完了。「このSkillを使って…」と話しかけなくても、関連する依頼で自動的に呼び出されます。

詳しい使い方ガイドを見る →
最終更新
2026-05-18
取得日時
2026-05-18
同梱ファイル
4
📖 Claude が読む原文 SKILL.md(中身を展開)

この本文は AI(Claude)が読むための原文(英語または中国語)です。日本語訳は順次追加中。

Ship Gate

Pre-production audit that scans a codebase and reports pass/fail/manual across 8 categories before anything ships.

Intercept Behavior

When the user says "push to production", "deploy", "ship it", "go live", or similar deploy-intent phrases, do NOT proceed with deployment. Instead:

  1. Ask: "Have you run the ship gate? Want me to scan now?"
  2. If yes, run the full audit below.
  3. If the user says they already ran it, ask when. If more than 24 hours ago or if code changed since, recommend re-running.

How It Works

Step 1: Detect Stack

Run these checks in order to identify the project stack:

Framework detection:
  package.json exists        -> Node.js project
    "next" in dependencies   -> Next.js
    "react" in dependencies  -> React (if not Next.js)
    "vue" in dependencies    -> Vue
    "svelte" in dependencies -> Svelte
    "astro" in dependencies  -> Astro
    "express" in dependencies -> Express
    "fastify" in dependencies -> Fastify
    "hono" in dependencies   -> Hono
  requirements.txt or pyproject.toml -> Python project
    "django" present         -> Django
    "flask" present          -> Flask
    "fastapi" present        -> FastAPI
  go.mod exists              -> Go project
  Cargo.toml exists          -> Rust project

Database detection:
  "@supabase/supabase-js" in package.json -> Supabase
  supabase/ directory exists              -> Supabase
  "prisma" in dependencies                -> Prisma (check schema for DB type)
  "mongoose" in dependencies              -> MongoDB
  "pg" or "postgres" in dependencies      -> PostgreSQL
  firebase.json or .firebaserc exists     -> Firebase

Deploy target detection:
  vercel.json or .vercel/ exists          -> Vercel
  netlify.toml exists                     -> Netlify
  Dockerfile exists                       -> Docker/VPS
  fly.toml exists                         -> Fly.io
  railway.json exists                     -> Railway
  .platform/applications.yaml            -> Platform.sh

Auth detection:
  "@clerk" in dependencies                -> Clerk
  "next-auth" in dependencies             -> NextAuth
  "@supabase/auth-helpers" in deps        -> Supabase Auth
  "firebase/auth" in imports              -> Firebase Auth

AI/LLM detection:
  "openai" in dependencies                -> OpenAI
  "@anthropic-ai/sdk" in dependencies     -> Claude API
  "@google/generative-ai" in deps         -> Gemini

Report detected stack before proceeding. This determines which checks are relevant. Checks tagged with a specific stack in references/checks.md are skipped if that stack is not detected.

Step 2: Run Automated Checks

Run categories in this order: SEC, DB, CODE, DEP, AI, DEPLOY, FE, OBS. Security and database first because they produce the most critical findings.

For each category, run every auto-scannable check from references/checks.md using the patterns in references/patterns.md.

Report progress after each category completes:

[1/8] Security: 3 FAIL, 12 PASS, 3 SKIP
[2/8] Database: 1 FAIL, 5 PASS, 6 SKIP
...

Report results as:

  • PASS: check passed
  • FAIL: issue found (with file path and line number)
  • SKIP: not applicable to this stack

Step 3: Manual Confirmation

For checks that cannot be automated (backup restore tested, rollback plan exists, staging test passed), present them as a checklist and ask the user to confirm each one.

Step 4: Verdict

Classify results into three severities:

  • CRITICAL: must fix before shipping (secrets exposed, no auth on routes, no HTTPS, SQL injection vectors, no RLS on Supabase tables)
  • HIGH: should fix before shipping (no error boundaries, no rate limiting, console.logs in production, no pagination)
  • ADVISORY: recommended but not blocking (no OG tags, no custom 404, no analytics, no SBOM)

Final output:

SHIP GATE REPORT
================
Stack: Next.js + Supabase + Vercel
Scan time: 12s

CRITICAL (3 items, must fix)
  FAIL  [SEC-01] API key found in src/lib/api.ts:14
  FAIL  [DB-07] RLS not enabled on "profiles" table
  FAIL  [SEC-05] No CSRF protection on /api/checkout

HIGH (5 items, should fix)
  FAIL  [CODE-01] 12 console.log statements in production code
  FAIL  [CODE-03] Empty catch block in src/utils/auth.ts:45
  FAIL  [DEP-04] 3 critical npm audit vulnerabilities
  FAIL  [DEPLOY-05] No rollback plan documented
  MANUAL [DEPLOY-06] Staging test not confirmed

ADVISORY (4 items, recommended)
  FAIL  [FE-01] Missing OG meta tags
  FAIL  [FE-03] No custom 404 page
  PASS  [OBS-01] Error monitoring configured
  SKIP  [AI-01] No AI/LLM usage detected

VERDICT: DO NOT SHIP (3 critical issues)
Fix critical items and re-run.

If zero critical items remain, verdict is: CLEAR TO SHIP. If only high items remain, verdict is: SHIP WITH CAUTION (acknowledge risks).

Categories

Eight categories, each with a code prefix. Full check details in references/checks.md.

Prefix Category Auto Manual Tool
SEC Security 15 3 0
DB Database 7 5 0
DEPLOY Deployment 3 8 0
CODE Code Quality 11 0 1
AI AI/LLM Security 5 3 0
DEP Dependencies 5 0 1
FE Frontend Quality 7 3 0
OBS Observability 2 5 0

Scope

This skill audits. It does not fix. When it finds issues, it reports them with file locations and remediation guidance. The user or another skill (systematic-debugging, backend-patterns, shadcn-stack) handles the fix.

This skill does not:

  • Set up CI/CD pipelines
  • Provision infrastructure
  • Configure monitoring tools
  • Run after deployment (it is pre-deploy only)

Integration Points

  • karpathy-coder: run ship-gate after karpathy-check passes — simplicity first, then production readiness
  • adversarial-reviewer: deep security review for items ship-gate flags as critical
  • security-pen-testing: penetration testing methodology for SEC-category findings
  • code-reviewer: general code quality review complements ship-gate's automated checks

同梱ファイル

※ ZIPに含まれるファイル一覧。`SKILL.md` 本体に加え、参考資料・サンプル・スクリプトが入っている場合があります。