Skill UI

This tool drives and audits a website's authentication flow by executing a configurable set of adversarial probes. It checks for critical security vulnerabilities such as missing CSRF tokens, insecure session cookies, dangerous redirect leaks, and OAuth misconfigurations. It generates a structured findings report for pre-deployment security auditing.

A comprehensive guide and pattern library for reviewing, troubleshooting, and safely modifying Cisco IOS and IOS-XE configurations. This skill outlines best practices for using read-only 'show' commands, validating ACL wildcard masks, managing configuration hierarchy, and following stringent change control procedures to prevent network disruptions.

This utility provides garbage collection for Claude Code configurations. It periodically scans various directories—including skills, memory files, hooks, permissions, and caches—to identify orphaned, stale, or redundant configuration items. Crucially, the process is designed to be non-destructive, always requiring explicit human confirmation for every deletion to ensure a safe, audited cleanup process.

This tool serves as an interactive, step-by-step installer for the Everything Claude Code (ECC) framework. It guides users in selecting and installing complex development skills (covering patterns for Django, Spring Boot, Python, Go, etc.) and standardized rulesets (e.g., common best practices, language-specific guides). It ensures the correct setup, validation, and optimization of the development environment for both user and project levels.

This skill monitors project spending against a configured budget limit. It aggregates total costs from session tracking records, calculates the utilization percentage, and emits a multi-tiered alert (INFO, WARNING, CRITICAL, HARD_STOP). It is essential for cost governance, ensuring that resource spawning (like swarms) is halted or optimized when spending approaches critical thresholds.

Performs multi-baseline counterfactual cost analysis by comparing actual session spending against hypothetical costs generated by fixed, non-optimal models (e.g., always-haiku, always-sonnet). This tool quantifies the financial savings realized by the smart routing mechanism, answering the critical question: 'Is the routing earning its keep?' It is ideal for quarterly cost reviews, setting CI performance gates, and validating routing configurations.

This guide outlines best practices for building scalable and maintainable Django applications and APIs. It covers recommended project layouts, implementing separated configuration files (dev/prod), advanced ORM techniques, and integrating middlewares, caching, and signals for enterprise-level robustness. Ideal for professional backend development.

A comprehensive guide covering essential security best practices for Django applications. It details how to implement robust authentication, granular authorization (RBAC), and crucial security settings like CSRF/XSS protection, HSTS, and secure environment configuration to prevent common vulnerabilities in production deployments.

This script provides a comprehensive, multi-stage verification loop for Django applications. It ensures deployment readiness by checking environment configuration, enforcing code quality (type hinting, formatting), running extensive unit and integration tests with coverage reports, and performing deep security scans for vulnerabilities and hardcoded secrets. Essential for CI/CD pipelines before merging or releasing.

A comprehensive guide to building robust, reliable, and maintainable End-to-End (E2E) test suites using Playwright. This includes implementing the Page Object Model (POM), configuring advanced Playwright settings for CI/CD, managing artifacts (screenshots, traces), and strategies for handling flaky tests to ensure high test stability.

This tool initializes a node for participation in a federated network. It automatically generates required ed25519 keypairs, creates the federation configuration, and allows specifying compliance modes such as HIPAA, SOC2, or GDPR. This is the first step in setting up a secure, decentralized agent environment.

This skill runs an automated evolution process designed to systematically optimize the seven core policy surfaces of an AI agent harness (e.g., planner, contextBuilder, reviewer). By mutating these policies and scoring the variants in a sandbox, it identifies crucial performance improvements without requiring expensive foundation model retraining. It is ideal for empirical configuration tuning and establishing optimized baselines.