Comprehensive pre-deployment verification pipeline for Django projects covering migrations, linting, tests, security, and configuration.
Works with
Runs 12 sequential phases: environment validation, code quality checks (mypy, ruff, black, isort), migration safety, test coverage analysis, security scanning (pip-audit, bandit, gitleaks), and Django-specific configuration verification
Includes coverage targets by component (models 90%+, views 80%+, overall 80%+) and pre-deployment checklist covering
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondjango-verificationExecute the skills CLI command in your project's root directory to begin installation:
Fetches django-verification from affaan-m/everything-claude-code and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate django-verification. Access via /django-verification in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
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Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
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Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Run before PRs, after major changes, and pre-deploy to ensure Django application quality and security.
# Verify Python version
python --version # Should match project requirements
# Check virtual environment
which python
pip list --outdated
# Verify environment variables
python -c "import os; import environ; print('DJANGO_SECRET_KEY set' if os.environ.get('DJANGO_SECRET_KEY') else 'MISSING: DJANGO_SECRET_KEY')"
If environment is misconfigured, stop and fix.
# Type checking
mypy . --config-file pyproject.toml
# Linting with ruff
ruff check . --fix
# Formatting with black
black . --check
black . # Auto-fix
# Import sorting
isort . --check-only
isort . # Auto-fix
# Django-specific checks
python manage.py check --deploy
Common issues:
# Check for unapplied migrations
python manage.py showmigrations
# Create missing migrations
python manage.py makemigrations --check
# Dry-run migration application
python manage.py migrate --plan
# Apply migrations (test environment)
python manage.py migrate
# Check for migration conflicts
python manage.py makemigrations --merge # Only if conflicts exist
Report:
# Run all tests with pytest
pytest --cov=apps --cov-report=html --cov-report=term-missing --reuse-db
# Run specific app tests
pytest apps/users/tests/
# Run with markers
pytest -m "not slow" # Skip slow tests
pytest -m integration # Only integration tests
# Coverage report
open htmlcov/index.html
Report:
Coverage targets:
| Component | Target |
|---|---|
| Models | 90%+ |
| Serializers | 85%+ |
| Views | 80%+ |
| Services | 90%+ |
| Overall | 80%+ |
# Dependency vulnerabilities
pip-audit
safety check --full-report
# Django security checks
python manage.py check --deploy
# Bandit security linter
bandit -r . -f json -o bandit-report.json
# Secret scanning (if gitleaks is installed)
gitleaks detect --source . --verbose
# Environment variable check
python -c "from django.core.exceptions import ImproperlyConfigured; from django.conf import settings; settings.DEBUG"
Report:
# Check for model issues
python manage.py check
# Collect static files
python manage.py collectstatic --noinput --clear
# Create superuser (if needed for tests)
echo "from apps.users.models import User; User.objects.create_superuser('[email protected]', 'admin')" | python manage.py shell
# Database integrity
python manage.py check --database default
# Cache verification (if using Redis)
python -c "from django.core.cache import cache; cache.set('test', 'value', 10); print(cache.get('test'))"
# Django Debug Toolbar output (check for N+1 queries)
# Run in dev mode with DEBUG=True and access a page
# Look for duplicate queries in SQL panel
# Query count analysis
django-admin debugsqlshell # If django-debug-sqlshell installed
# Check for missing indexes
python manage.py shell << EOF
from django.db import connection
with connection.cursor() as cursor:
cursor.execute("SELECT table_name, index_name FROM information_schema.statistics WHERE table_schema = 'public'")
print(cursor.fetchall())
EOF
Report:
# Check for npm dependencies (if using npm)
npm audit
npm audit fix
# Build static files (if using webpack/vite)
npm run build
# Verify static files
ls -la staticfiles/
python manage.py findstatic css/style.css
# Run in Python shell to verify settings
python manage.py shell << EOF
from django.conf import settings
import os
# Critical checks
checks = {
'DEBUG is False': not settings.DEBUG,
'SECRET_KEY set': bool(settings.SECRET_KEY and len(settings.SECRET_KEY) > 30),
'ALLOWED_HOSTS set': len(settings.ALLOWED_HOSTS) > 0,
'HTTPS enabled': getattr(settings, 'SECURE_SSL_REDIRECT', False),
'HSTS enabled': getattr(settings, 'SECURE_HSTS_SECONDS', 0) > 0,
'Database configured': settings.DATABASES['default']['ENGINE'] != 'django.db.backends.sqlite3',
}
for check, result in checks.items():
status = '✓' if result else '✗'
print(f"{status} {check}")
EOF
# Test logging output
python manage.py shell << EOF
import logging
logger = logging.getLogger('django')
logger.warning('Test warning message')
logger.error('Test error message')
EOF
# Check log files (if configured)
tail -f /var/log/django/django.log
# Generate schema
python manage.py generateschema --format openapi-json > schema.json
# Validate schema
# Check if schema.json is valid JSON
python -c "import json; json.load(open('schema.json'))"
# Access Swagger UI (if using drf-yasg)
# Visit http://localhost:8000/swagger/ in browser
# Show diff statistics
git diff --stat
# Show actual changes
git diff
# Show changed files
git diff --name-only
# Check for common issues
git diff | grep -i "todo\|fixme\|hack\|xxx"
git diff | grep "print(" # Debug statements
git diff | grep "DEBUG = True" # Debug mode
git diff | grep "import pdb" # Debugger
Checklist:
DJANGO VERIFICATION REPORT
==========================
Phase 1: Environment Check
✓ Python 3.11.5
✓ Virtual environment active
✓ All environment variables set
Phase 2: Code Quality
✓ mypy: No type errors
✗ ruff: 3 issues found (auto-fixed)
✓ black: No formatting issues
✓ isort: Imports properly sorted
✓ manage.py check: No issues
Phase 3: Migrations
✓ No unapplied migrations
✓ No migration conflicts
✓ All models have migrations
Phase 4: Tests + Coverage
Tests: 247 passed, 0 failed, 5 skipped
Coverage:
Overall: 87%
users: 92%
products: 89%
orders: 85%
payments: 91%
Phase 5: Security Scan
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
affaan-m/everything-claude-code
affaan-m/everything-claude-code
affaan-m/everything-claude-code
affaan-m/everything-claude-code
jeffallan/claude-skills
jwynia/agent-skills
django-verification is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
django-verification fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added django-verification from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
django-verification reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in django-verification — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
django-verification fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
django-verification is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in django-verification — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for django-verification matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in django-verification — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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