172 skills available for 30+ AI coding agents
by qaskills
Django application testing with TestCase, fixtures, factory_boy, model testing, view testing, middleware testing, and Django REST framework testing.
Email delivery testing including content verification, rendering across clients, spam score checking, link validation, and transactional email workflow testing.
Integration with Google OSS-Fuzz for continuous fuzzing of open-source projects with automated bug filing and regression tracking.
Payment gateway testing including Stripe, PayPal, and Square integration testing with sandbox environments, webhook verification, and error handling.
Test isolation techniques including database cleanup, transaction rollback, parallel test execution, and shared resource management.
Automated detection and prevention of leaked secrets, API keys, passwords, and tokens in code using tools like gitleaks, trufflehog, and pre-commit hooks.
Testing voice-activated applications including speech recognition accuracy, intent detection, dialog flow testing, and multi-language support.
Testing library backward compatibility including public API surface verification, semver compliance, TypeScript type compatibility, and migration path validation.
Testing webhook implementations including delivery verification, retry logic, signature validation, idempotency, and failure handling patterns.
Testing cookie and session management including secure flags, SameSite policy, session fixation, timeout behavior, and cross-domain cookie handling.
Testing Cross-Origin Resource Sharing configurations for misconfigurations, overly permissive policies, and credential handling vulnerabilities.
Parallel test execution with Selenium Grid including hub/node configuration, Docker-based grid, cross-browser testing, and session management.
Verifying data integrity constraints, referential integrity, data type validation, and consistency checks across database operations.
by thetestingacademy
Comprehensive prompt testing and LLM output evaluation skill covering hallucination detection, response quality scoring, regression testing for prompts, A/B testing, and building evaluation pipelines for AI-powered applications.
by openai
Repository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities, abuse paths, and mitigations to produce actionable AppSec-grade threat models.
SSL/TLS configuration testing including certificate validation, cipher suite analysis, protocol version checks, and HSTS verification.
Master code review best practices with constructive feedback patterns, quality assurance standards, review checklists, security considerations, and collaborative improvement techniques for high-quality software delivery.
Approval testing methodology using ApprovalTests library for verifying complex outputs against human-approved results with diff-based review.
Testing API versioning strategies including URL path, header, and query parameter versioning with backward compatibility validation.
API endpoint fuzzing for discovering unexpected behaviors, crashes, and security vulnerabilities through malformed requests, boundary values, and protocol violations.