supabase
Handles the full Supabase workflow from schema changes to deployment, with built-in security guardrails that catch common traps like RLS...
security
Protect your SaaS app from common vulnerabilities. Use when building auth, handling user data, or deploying features. Covers authentication, data protection, API security, and OWASP Top 10 for non-technical founders using AI tools.
Full skill instructions
Security Basics:
- [ ] Authentication required for protected routes
- [ ] Passwords hashed (bcrypt/argon2), never stored plain text
- [ ] API keys in environment variables, not code
- [ ] HTTPS only in production
- [ ] Input validated on server side
- [ ] SQL injection prevented (use parameterized queries)
- [ ] XSS prevented (sanitize user input)
- [ ] CSRF tokens on forms
- [ ] Rate limiting on API endpoints
- [ ] User sessions expire (30min-1hr typical)
See COMMON-VULNS.md for detailed checks.
Move to environment variables:
Tell AI:
Store API keys in .env file, not in code.
Add .env to .gitignore.
Access via process.env.API_KEY
Minimum requirements:
Tell AI:
Add authentication:
- bcrypt for password hashing (12 rounds)
- Email verification required
- Session timeout: 30 minutes
- Password requirements: 8+ chars, 1 number, 1 symbol
See SECURITY-PROMPTS.md for implementation details.
Always encrypt:
Never log:
Tell AI:
Never log sensitive data.
Replace passwords/tokens with "[REDACTED]" in logs.
Required for all API endpoints:
Tell AI:
Add to all API routes:
- Require valid auth token
- Rate limit: 100 requests/minute per IP
- Validate all inputs (reject invalid)
- Generic error messages (no stack traces to users)
Most common in AI-built apps:
See COMMON-VULNS.md for how to check.
Adding authentication:
Add authentication to this route.
Require valid JWT token.
Return 401 if missing/invalid.
Don't expose error details.
Rate limiting:
Add rate limiting:
- 100 requests/minute per IP
- Return 429 "Too many requests" if exceeded
- Use sliding window, not fixed
Input validation:
Validate all user inputs:
- Email: valid format
- Password: 8+ chars, 1 number, 1 symbol
- Username: alphanumeric only, 3-20 chars
Reject invalid input with clear error message
See SECURITY-PROMPTS.md for more.
Before deploying:
Production Security:
- [ ] All secrets in environment variables
- [ ] HTTPS enforced (no HTTP)
- [ ] Database backups configured
- [ ] Rate limiting on all APIs
- [ ] Error pages don't show stack traces
- [ ] Admin routes protected
- [ ] File uploads validated (type, size)
- [ ] CORS configured (not wildcard "*")
Signs you need expert review:
For most MVPs: Following this checklist is sufficient.
| Mistake | Fix |
|---|---|
| API keys in code | Move to .env |
| No rate limiting | Add to all endpoints |
| Plain text passwords | Use bcrypt |
| HTTP in production | Force HTTPS |
| Accepting all CORS | Whitelist domains |
| No input validation | Validate server-side |
| Detailed error messages | Generic messages only |
Easy security improvements:
Tell AI:
Add helmet.js for security headers.
Configure for production (HTTPS, CSP, XSS protection).
Quick checks:
Exposed secrets:
grep -r "api_key" src/
grep -r "password" src/
# Should only find references to env vars
No auth bypass:
Rate limiting works:
✅ No secrets in code (all in .env)
✅ Can't access protected routes without auth
✅ Passwords hashed, never stored plain text
✅ Rate limiting prevents abuse
✅ HTTPS enforced in production
✅ Input validated on server side
Handles the full Supabase workflow from schema changes to deployment, with built-in security guardrails that catch common traps like RLS...
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