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Unit & Integration Test Generator
A generated test suite is only worth anything if its tests can actually fail for a real reason.
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See it in action
You say
Write tests for this parse_discount(code, cart_total) function — it returns a discount amount and raises on unknown codes.
Your agent does
A test plan first (valid code applies the discount; zero and negative cart_total; unknown and empty code raise; very large total rounding; discount never exceeds the total), then a runnable pytest file with parametrized cases, the clock/DB mocked, and assertions on both return values and raised errors — plus a flag: "confirm whether expired codes should error or silently no-op (business rule I can't infer)."
What you get
About this skill
A generated test suite is only worth anything if its tests can actually fail for a real reason. This skill writes those — not coverage-padding stubs that mirror the implementation and break on every refactor. It runs an ordered pass: • Understands the target — inputs, outputs, side effects, dependencies, error conditions, the contract • Detects your framework and conventions — pytest, unittest, Jest, Vitest, JUnit, Go testing, RSpec — and matches your repo's style • Enumerates the cases first — happy path, edge/boundary, error paths, side effects, integration points (shown as a test plan) • Writes clear arrange-act-assert tests — descriptive, isolated, deterministic, with external dependencies mocked properly • Covers the failure modes — the untested error handling where real bugs hide • Adds integration tests where they earn their place • Makes them runnable, with the command to run them You get the test file(s) in your framework plus a coverage summary, including any cases that need domain knowledge it can't infer (flagged, not guessed). It writes tests — it doesn't judge whether an existing suite is adequate; pair it with a test-coverage gate for that.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
PubsProToolkit builds rigor-first skills for AI agents — they write your docs and content properly, then adversarially review them to catch what's wrong before it ships. The result: cleaner output and a hard quality gate in one toolkit. Built by a CMPP-certified, PhD medical writer who brings regulated-industry standards to developer docs, content, compliance, and research integrity.
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