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SKILL verified MIT Self-run

Deploy Check

skill-glamgarondiscord-claude-saas-blueprint-deploy-check · by GlamgarOnDiscord

Validation complète pré-déploiement. Supporte Vercel, Railway, Docker/VPS. Utilise les scripts Python du projet.

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Install

$ agentstack add skill-glamgarondiscord-claude-saas-blueprint-deploy-check

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ● Network access Used
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ● Environment & secrets Used
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-glamgarondiscord-claude-saas-blueprint-deploy-check)

Reliability & compatibility

✓ Security review passed
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○ 4mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Arguments

  • env : staging | production

Étape 1 — Pre-deploy checks (script unifié)

python scripts/pre_deploy_check.py --env [staging|production]

Couvre : TypeScript, lint, tests, secrets, .env.example, console.log, migrations, RLS. Bloquer si exit 1.

Étape 2 — Plateforme de déploiement

Vercel (recommandé SaaS Next.js)

vercel --env staging      # Preview URL
vercel --prod             # Production

Variables requises dans Vercel : DATABASE_URL (pooler port 6543), DIRECT_URL (port 5432), NEXT_PUBLIC_SUPABASE_URL, NEXT_PUBLIC_SUPABASE_ANON_KEY, SUPABASE_SERVICE_ROLE_KEY.

Railway

railway up --environment staging
railway up --environment production

Docker / VPS (Coolify, Dokku)

docker build -t app:$(git rev-parse --short HEAD) .
docker push [registry]/app:[tag]
# Puis trigger deploy via webhook ou CLI Coolify/Dokku

Étape 3 — Migrations DB (si Supabase)

python scripts/supabase_migrate.py --diff          # Voir ce qui va être appliqué
python scripts/supabase_migrate.py --env [env]     # Appliquer
python scripts/supabase_rls_check.py               # Vérifier RLS

Étape 4 — Post-deploy

  1. Smoke test : curl https://[domain]/api/health
  2. Logs plateforme — 0 erreur 500 dans les 2 premières minutes
  3. Sentry — nouvelles erreurs ?
  4. Mettre à jour .claude/memory/session.md avec la version déployée

Rollback

Vercel : vercel rollback [deployment-url] Railway : railway rollback Docker : redéployer le tag précédent DB : créer une nouvelle migration inverse (python scripts/supabase_migrate.py --new rollback-[feature])

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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