Find the perfect capability for your agent.
Audits Python libraries for security vulnerabilities using Bandit, pip-audit, Semgrep, and detect-secrets. Identifies SQL injection, command injection, hardcoded credentials, weak cryptography, and insecure deserialization. Use when reviewing library security, setting up security scanning in CI, or implementing secure coding patterns.
JWT (JSON Web Token) authentication skill for Python web applications. Use when: (1) Implementing token-based authentication, (2) Creating login/register endpoints, (3) Setting up access and refresh tokens, (4) Adding password hashing with Argon2/bcrypt, (5) Creating protected route dependencies, (6) Implementing role-based access control (RBAC), (7) Adding OAuth2 scopes, (8) Token blacklisting/revocation strategies.
Implement authentication with Scalekit for web applications, APIs, and MCP servers. Supports full-stack auth, modular SSO (SAML/OIDC), and MCP OAuth 2.1. Handles login, SSO, session management, token validation, and enterprise identity providers. Works with Node.js, Express, Next.js, Python, FastAPI, and MCP servers. Use when implementing authentication, adding SSO, securing APIs, or protecting MCP servers.
Use when building MCP servers in TypeScript, Python, or C#; when implementing tools, resources, or prompts; when configuring Streamable HTTP transport; when migrating from SSE; when adding OAuth authentication; when seeing MCP protocol errors
Write and manage tests using TDD with Pest (PHP), Vitest (React), pytest (Python), and Playwright (E2E). Use when writing feature tests, unit tests, component tests, visual regression tests, or improving test coverage. EXCLUSIVE to testing-expert agent.
Use when writing or modifying tests, fixing bugs with TDD, reviewing test code, or when user mentions "test", "tests", "testing", "TDD", "test-driven", "pytest", "add tests", "write tests", "unit test", "integration test", "test coverage", "bug fix", "fix bug", "verify", "edge case", "mocking", "patch.object".
Type hints, dataclasses, async patterns, testing with pytest, and modern Python tooling
Generate pytest unit tests for Python functions and classes with fixtures, parametrization, and edge cases. This skill should be used when creating test coverage for modules, especially during refactoring to ensure functionality is preserved.
Write comprehensive unit tests for code. Use when asked to (1) write tests for new or existing code, (2) add unit tests, (3) test a function/module/class, (4) verify code still works after changes, (5) create test coverage, or when phrases like "write tests", "add tests", "test this", "make sure this works" appear. Supports Python, JavaScript, R, Rust, Go, C++, SQL, Bash, Ansible, Kubernetes/Kustomize, Docker, and Docker Compose.
Summarize CPython test failures from cpython_full_test_run.log (and cpython_full_test_run_summary.txt if present), compute passed/total counts for test files and test cases, and group failures by likely root cause. Use when asked to summarize or categorize failures from a CPython regrtest run in this repo.
Comprehensive Python testing best practices, pytest conventions, test structure patterns (AAA, Given-When-Then), fixture usage, mocking strategies, code coverage standards, and common anti-patterns. Essential reference for code reviews, test writing, and ensuring high-quality Python test suites with pytest, unittest.mock, and pytest-cov.
Python testing best practices with pytest, TDD, and mocking. ALWAYS use this skill BEFORE writing or modifying any test code. Triggers on "test", "tests", "testing", "TDD", "test-driven", "pytest", "add tests", "write tests", "test this", "unit test", "integration test", "test coverage", "bug fix", "fix bug", "mock", "fixture", "assert", or when about to create/edit files in tests/ directory.
Executes the Python TDD implementation cycle (Red/Green) based on specifications. Writes test code and Python product code (UseCase/Logic) to satisfy requirements, ensuring strict adherence to the Common Implementation Plan.
Advanced Python testing strategies with Pytest, covering fixtures, matrix testing with parametrization, and async test architecture. Triggers: pytest, fixtures, parametrize, pytest-asyncio, matrix-testing, yield-fixture.
This skill should be used when the user asks about "testing FastAPI", "FastAPI tests", "API testing", "test FastAPI endpoints", "mock FastAPI dependencies", "TestClient", "async API tests"
Python testing best practices with pytest. Covers unit, integration, async tests, mocking, fixtures. Triggers: "write tests", "add tests", "test coverage", "pytest", "unit test", "integration test"
Run the CPython regression test suite in this repo via scripts/run_cpython_tests.sh with parallel execution, enforce a per-test timeout, capture output to cpython_full_test_run.log, and summarize failures from that log.
Production-grade pytest test builder for FastAPI applications with SQLModel. This skill should be used when writing tests for API endpoints, business logic, database operations, or any Python code requiring comprehensive test coverage. Handles fixtures, mocking, async tests, database transactions, and dependency overrides.
