Enforce black-box testing and 12-category test taxonomy compliance.
npx skills add https://github.com/Doumajnik/template --skill testing-rules-doumajnik
Please help me install this Agent Skill. Skill: testing-rules Source: https://github.com/Doumajnik/template/tree/main/.github/skills/testing-rules Command: npx skills add https://github.com/Doumajnik/template --skill testing-rules-doumajnik
This Skill eliminates inconsistent, low-quality test suites that create false confidence and miss critical production bugs, reducing costly outages and rework caused by inadequate testing coverage.
Apply the testing-rules skill to audit your existing test suite for a user authentication module and identify missing boundary and adversarial test cases.
High-intent search queries and answers about installing and using this skill.
You can enforce consistent unit testing standards by applying a 12-category test taxonomy that mandates coverage of happy paths, boundary values, and error contracts for every function. This eliminates weak test suites and catches critical production bugs early.
Black-box testing enforcement blocks test writers from accessing source code to prevent tests that mirror implementation blind spots. By isolating test authoring from internal logic, it ensures tests validate external behavior and catch missed edge cases.
You can audit an existing test suite by validating it against a 12-category test taxonomy that checks for boundary values, adversarial inputs, and error contracts. This identifies missing edge case coverage and validates your test quality gates.
Yes, this testing approach applies to all test authoring and review workflows, including integration test design, test infrastructure setup, and test strategy planning. It enforces quality gates and adversarial test case coverage for any software project.
Unit tests pass but miss production bugs because weak assertions and low coverage create false confidence. Applying test quality gates that enforce AAA layout, mutation testing targets, and adversarial input coverage eliminates false positives and catches edge cases.
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