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Guide red-green-refactor TDD with test generation, coverage-gap analysis, and multi- framework support.
Passed 19 of 22 test cases with the skill, and 6 of 22 without it.
and 12 more in the full report
13 fixed6 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
I need detailed documentation on constructor parameters and method signatures for all eight script modules in this workspace. Which reference file should I read?
| Checked | Without skill | With skill |
|---|---|---|
| Direct the user to `references/tool-reference.md`. | Missed | Passed |
The instructions your model reads when the skill loads.
The agent guides red-green-refactor TDD workflows, generates framework-specific test stubs from requirements, parses coverage reports to identify prioritized gaps, and calculates test quality metrics including smell detection and assertion density. Supports Jest, Pytest, JUnit, Vitest, and Mocha.
Before generating tests or analyzing coverage, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
# Generate test cases from requirements (Python API)
from test_generator import TestGenerator, TestFramework
gen = TestGenerator(framework=TestFramework.PYTEST, language="python")
cases = gen.generate_from_requirements(requirements)
# Analyze coverage gaps from LCOV report
from coverage_analyzer import CoverageAnalyzer
test cases passed, vs 6 / 22 without
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