azure-enterprise-infra-planner
Enterprise Azure infrastructure architect generating Bicep or Terraform from workload descriptions.
test-guard
Review generated or changed test code against universal testing rules before it ships. Best used reactively after an agent writes, edits, generates, or refactors tests, before presenting, committing, or merging them. Use for pytest (test_*.py, *_test.py), PHPUnit/Pest (*Test.php), Jest/Vitest (*.test.ts, *.spec.js), Go (*_test.go), files under tests/, __tests__/, or spec/, and review requests like 'write tests for X', 'add tests', 'test this', 'review these tests', or PR diffs containing tests. Can also guide test writing when explicitly invoked before the work. This skill is the quality gate that prevents AI-generated test bloat.
Full skill instructions
You are reviewing generated or changed test code before it ships. Enforce the rules below after the first test-writing pass and before the tests are presented, committed, or merged. Be a sharp reviewer, not a pedantic one: flag what wastes maintenance effort or hides real bugs, ignore cosmetic preferences.
These rules exist because coding agents over-generate tests. The common failure modes: mock-heavy unit tests that assert implementation details, near-duplicate test bodies that differ by one value, and tests that re-verify the framework instead of the project's logic. Each looks productive in a diff and costs maintenance forever.
These rules are universal, but their application is not. Before reviewing:
When writing new tests, ask for each test: "What specific bug does this catch that no other test in this suite catches?" If you can't answer clearly, don't write it.
Test what code does from the caller's perspective. Assert return values and observable side effects. Never assert that an internal helper was called with specific arguments — that test breaks on every refactor while catching nothing.
Violation pattern: asserting a mock of an internal function was called, where that function is not a system boundary. Fix: assert the return value or the state change the caller observes.
Mock only at system boundaries: network and HTTP calls, LLM APIs, databases, filesystem I/O on external files, clock and randomness, third-party SDKs. Never mock internal classes or helper functions to isolate a "unit" — the seams you create hide the integration bugs worth catching.
When you mock a boundary, assert what the caller does with the response, not that the mock received specific arguments.
If two or more tests share identical setup and differ only in input/output values, merge them into one data-driven test (@pytest.mark.parametrize, PHPUnit #[DataProvider], Jest test.each).
When separate tests ARE correct: different setup, different assertions, different mock configurations, or genuinely different scenarios that happen to exercise the same function.
Ask: "What bug does this catch that no other test catches?" Delete tests that only catch typos, verify default values of data classes, or test trivial pass-through logic.
Common unjustified tests: constructors setting attributes, a function rejecting input the type system already forbids, string formatting of log messages, a constant equaling its literal value.
Pattern: test_<scenario>_<expected_outcome>. The name should read like a requirement, not echo the function signature.
| Bad | Good |
|---|---|
test_parse_response_missing_field | test_malformed_response_falls_back_to_default |
test_get_language_no_class | test_element_without_class_returns_empty_language |
test_add_tags_single_string | test_single_tag_normalizes_to_list |
Tests that reproduce a real production bug are always justified. Reference the incident (date, issue ID, or short description) in the name or a comment, and never delete them. They are exempt from Rule 4 — their justification is the incident.
Don't test that the validation library validates, the ORM commits, the router returns 404, or the test framework's fixtures work. Test your logic that sits on top of the framework.
Violation pattern: a test that would still pass if you deleted all the project's custom code and kept only framework defaults.
Never mock a data model, DTO, entity, or state object. Construct a real instance. Mocking state hides field-name typos and validation errors — exactly the bugs worth catching. If constructing the real object is painful, that is design feedback, not a reason to mock; add a small builder or factory helper.
When database queries, schema behavior, or persistence logic is the subject of the test, run against a real test database with real migrations applied via fixtures. Mocking the session there tests nothing. Mocking the database is fine when persistence is only a side effect of the behavior under test.
When flagging violations, use this format:
**Rule N violation** in `tests/path/file.ext::<test_name>`
- What: <one sentence describing the violation>
- Fix: <one sentence describing what to do instead>
Group violations by file. If a file has no violations, don't mention it.
Not all violations are equal. Use judgment:
Enterprise Azure infrastructure architect generating Bicep or Terraform from workload descriptions.
Ultra-compressed code review comments: location, problem, fix on one line each.
Dispatch code review subagents with focused context to catch issues before they compound.
Execute a written implementation plan with critical review and task checkpoints.
Dispatch fresh subagents per task with two-stage review (spec compliance, then code quality) in the current session.
Comprehensive SEO auditing framework covering crawlability, indexation, speed, on-page optimization, and content quality.
Evaluate code review feedback with technical rigor before implementing, avoiding performative agreement and blind implementation.
Generate images via your ChatGPT subscription using text-to-image, image editing, and style transfer.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Generate studio-quality songs and instrumentals from text descriptions, 5 seconds to 5 minutes, with section-level structure control.
Plan and optimize your website's page hierarchy, navigation, URL structure, and internal linking.
Cloudflare Workers code review and authoring against production best practices.
Opus.ai: Revolutionize Your Web Experience
Build a no-code AI app in minutes.
An IDE for code migration from legacy to modern frameworks through coding agents.
Automate CGI animation in live-action scenes
Branded artistic QR-code concepts
Launch a website in seconds with AI.
Streamline Your Coding Experience with AI Code Helper
Convert any screenshot or design to clean code.