Can this skill help detect security vulnerabilities?

Yes, it performs multiple security checks including dependency auditing with pip-audit, static analysis with Bandit, and secret detection to prevent hardcoded credentials.

Is there support for CI/CD integration?

The skill provides a complete GitHub Actions example to automate the entire verification loop on every push or pull request.

How does it handle Django database migrations?

The skill checks for unapplied migrations, detects conflicts, and validates that all model changes have corresponding migration files before deployment.

Does it support performance optimization?

Yes, it includes a dedicated performance phase to check for N+1 queries, missing database indexes, and overall query count analysis.

What tools does this skill use for code linting?

It integrates with industry-standard tools including Ruff for linting, Black for formatting, isort for import sorting, and Mypy for static type checking.

Django Verification Loop

Name: Django Verification Loop
Author: Infopibe

byInfopibe

•

Security & Testing

Automates a comprehensive 12-stage verification cycle for Django applications to ensure quality, security, and deployment readiness.

The Django Verification Loop skill provides a robust, standardized framework for validating Django projects throughout the development lifecycle. It guides developers through essential checks including environment configuration, code linting with Ruff and Black, database migration integrity, comprehensive testing with pytest-cov, and deep security audits via Bandit and pip-audit. Ideal for pre-PR reviews and pre-deployment checklists, it ensures that your application meets production standards and is free from common pitfalls like N+1 queries or exposed secrets.

Key Features

01Automated security scanning and dependency auditing using Bandit and pip-audit

02Production-readiness audits for configuration, static assets, and logging

03Comprehensive 12-stage validation pipeline for Django projects

04Migration integrity checks and database conflict detection

05Deep test coverage analysis with component-specific percentage targets

061 GitHub stars

Use Cases

01Performing a full quality audit before merging a Pull Request

02Pre-deployment verification to ensure production settings and security compliance

03Standardizing local development workflows and environment health checks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add infopibe/everything-claude-code django-verification

For use in Claude.ai and ChatGPT

Key Features

01Automated security scanning and dependency auditing using Bandit and pip-audit

02Production-readiness audits for configuration, static assets, and logging

03Comprehensive 12-stage validation pipeline for Django projects

04Migration integrity checks and database conflict detection

05Deep test coverage analysis with component-specific percentage targets

061 GitHub stars

Use Cases

01Performing a full quality audit before merging a Pull Request

02Pre-deployment verification to ensure production settings and security compliance

03Standardizing local development workflows and environment health checks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add infopibe/everything-claude-code django-verification

For use in Claude.ai and ChatGPT