Security & Testing Agent Skills

Consensus Voting

Executes weighted multi-agent voting to validate critical technical decisions and security implementations through specialized expertise.

Dynamic Debugger

Enables interactive, natural language debugging for Python, C, C++, and Rust through DAP-MCP integration.

Consensus Voting

Facilitates weighted multi-agent decision-making for critical code changes like security and authentication logic.

Dynamic Debugger

Enables interactive, natural language debugging for multiple programming languages using the Debug Adapter Protocol (DAP).

Smart Test Selection

Optimizes developer feedback loops by intelligently selecting and running only the tests affected by specific code changes.

Test Gap Analyzer

Identifies untested code paths and generates specific test suggestions to improve software reliability and coverage.

Shared Development Patterns

Provides a centralized library of architectural patterns for testing, security, and API design to ensure consistency across AI-driven development.

Regulatory Template Generator - Gate 3

Automates the generation of production-ready regulatory templates with validated field mappings and documentation.

Regulatory Template Technical Validator

Validates mapping uncertainties and enforces rigorous testing thresholds for regulatory data templates.

Ring Installer Testing Fixture

Provides a standardized fixture for validating Ring multi-platform installer transformations and integration tests.

Pre-Dev Dependency Mapper

Enforces explicit, versioned, and validated technology selections for software projects using standardized engineering quality gates.

Smart Test Selection

Optimizes testing workflows by intelligently selecting affected tests based on code changes and reliability data.

Quality Audit Workflow

Conducts automated, end-to-end codebase quality audits with parallel agent orchestration, GitHub issue creation, and PR remediation.

Quality Audit Workflow

Orchestrates comprehensive, parallel codebase audits with automated GitHub issue creation and PR-based remediation.

Smart Test Selection

Optimizes development cycles by intelligently selecting and running only the tests affected by your recent code changes.

Agentic Outside-In Testing

Generates and executes behavior-driven test scenarios for CLI, TUI, Web, and Electron applications using the Gadugi framework.

Shell Testing Framework

Implements comprehensive shell script testing using professional methodologies, 100% coverage standards, and structured performance validation.

Outside-In Agentic Testing

Generates behavior-driven tests that verify application interfaces across CLI, Web, TUI, and Electron using AI agents.

Skill Testing with Subagents

Validates AI skill reliability using a Red-Green-Refactor methodology and high-pressure compliance testing.

Code Implementation (Gate 0)

Enforces a rigorous Test-Driven Development (TDD) workflow by routing tasks to specialized language agents.

Evidence-First Verification Gate

Enforces a mandatory command-first workflow that requires fresh verification evidence before any success claims or code commits.

Systematic Debugging

Implements a rigorous four-phase debugging framework that ensures the root cause is fully understood before any code fixes are attempted.

Condition-Based Test Waiting

Eliminates flaky tests by replacing non-deterministic timeouts with robust, state-aware condition polling.

Testing Anti-Pattern Guard

Enforces high-quality testing standards by preventing mock-testing, production code pollution, and brittle dependency isolation.

Dev Review (Gate 4)

Orchestrates mandatory parallel code reviews using three specialized AI agents to enforce security, logic, and quality standards.

Infrastructure Security Auditor

Conducts systematic infrastructure security audits, vulnerability assessments, and compliance validations through structured workflows.

Backend API Testing Toolkit

Automates backend API verification using language-native test frameworks to ensure robust database and endpoint integrity.

Root Cause Tracing

Systematically traces bugs from the point of failure back to the original trigger through call-chain analysis and instrumentation.

Automated Codebase Linting

Automates the identification and resolution of linting errors by dispatching parallel AI agents to clean your codebase.

TDD & Unit Testing Gate

Enforces rigorous unit test coverage and TDD methodology through mandatory quality gates for AI-driven development.