agentsclimarketplace

Ship gate

Skill alirezarezvani/claude-skills/engineering/skills/ship-gate

345 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 330+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8 more coding agents — engineering, marketing, product, compliance, C-level advisory, research, business operations, commercial & finance, and your daily productivity skills.

Install
npx -y skills add alirezarezvani/claude-skills --skill ship-gate

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

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.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

6.5 KB, ~1.6k tokens by cl100k_base, as published. Nobody here has run it

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.

PrefixCategoryAutoManualTool
SECSecurity1530
DBDatabase750
DEPLOYDeployment380
CODECode Quality1101
AIAI/LLM Security530
DEPDependencies501
FEFrontend Quality730
OBSObservability250

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

Gives 0 of the 12 instructions most ship operate skills give in ~1.6k tokens

Counted across 779 of the 1,178 authors here whose files we hold, read 2026-08-06

  • document a rollback plan before deploymentin 40 of 779, across 21 files
  • create an annotated git tagin 21 of 779, across 20 files
  • Run the test suitein 20 of 779
  • update the changelogin 20 of 779, across 18 files
  • verify deployment health after launchin 19 of 779, across 10 files
  • clean up feature flags after full rolloutin 18 of 779, across 10 files
  • verify the working tree is cleanin 18 of 779
  • test both feature flag statesin 17 of 779, across 9 files
  • Make database migrations backward-compatiblein 16 of 779, across 8 files
  • set up error monitoring before launchin 15 of 779, across 7 files
  • monitor metrics at each rollout stagein 14 of 779, across 5 files
  • create a github releasein 14 of 779

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.