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TDD and testing skills for iOS/macOS apps. Covers characterization tests, TDD workflows, test contracts, snapshot tests, test infrastructure, and deterministic quality gates (fitness functions, coverage ratchet, mutation testing). Use for test-driven development, adding tests to existing code, or building test infrastructure.

Use this Skill: https://skilld.dev/gh/rshankras/claude-code-apple-skills/testing

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coverage-ratchetSKILL.md

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Coverage Ratchet

A build/test gate proves the tests that exist pass. It says nothing about whether tests were written — a phase with no test task ships green on build success alone. The coverage ratchet closes that hole deterministically: line coverage is measured on every verify, compared against a committed baseline, and may never drop. It only rises.

Why a Ratchet, Not a Target

An absolute threshold ("80%") fails one of two ways on a real codebase: it fails day one (so it gets disabled), or it gets set below current reality (so it gates nothing). A ratchet starts from wherever the project actually is and only tightens. Nobody argues with "don't get worse."

When This Skill Activates

Use this skill when:

  • A project has a test target but coverage has never been measured
  • Agent-written features keep arriving with build-passing, test-free code
  • Setting up the deterministic gauntlet (with testing/fitness-functions/ and swift/code-size/)

Setup

  1. Copy templates/coverage-gate.sh into the project (e.g. Scripts/coverage-gate.sh), make it executable, and fill in the config block (scheme, destination, app target name).
  2. Bootstrap the baseline:
Scripts/coverage-gate.sh --init     # runs tests with coverage, writes .coverage-baseline
  1. Commit both the script and .coverage-baseline.

.coverage-baseline holds a single decimal fraction (e.g. 0.6231) — the app target's line coverage. Trailing whitespace ignored; nothing else in the file.

The Gate

Scripts/coverage-gate.sh            # exit 0 = pass, exit 1 = coverage dropped
  • Runs the test suite with coverage enabled, extracts the app target's line coverage from the xccov JSON report.
  • Fails if current < baseline − 0.0025 (the epsilon absorbs measurement jitter from unchanged code).
  • Suggests a ratchet-up when current > baseline + 0.01: update .coverage-baseline to the new number in the same commit as the tests that earned it. That's the ratchet clicking forward.
  • Fails loudly on an unexpected report shape or a missing target — a broken measurement must never read as a pass.

Ratchet-up etiquette: raising the baseline is routine and encouraged; lowering it requires a written reason in the commit message (e.g. deleting a well-covered module) — treat it like widening a fitness-function allowlist.

CRAP Report (Advisory)

templates/crap-report.sh combines per-function cyclomatic complexity (SwiftLint JSON output) with per-function coverage (the same xccov report) into the CRAP score — Change Risk Anti-Patterns:

CRAP(f) = complexity(f)² × (1 − coverage(f))³ + complexity(f)

A complex and untested function scores explosively; simple-and-tested stays near its complexity. The report prints the top 20 — the exact functions where a test is worth the most. Advisory only, never a gate: the name-join between the two tools is heuristic.

Common Pitfalls

Pitfall Problem Solution
Absolute threshold on existing code Fails day one or gates nothing Ratchet from measured reality
Gating total project coverage Test-target/generated code pollutes the number Gate the app target's own lineCoverage
Silent pass on tool failure Broken measurement reads as green Script fails loudly on unexpected JSON
Chasing the number with assertion-free tests Coverage without verification Pair with mutation spot-checks (testing/mutation-testing/)
Never ratcheting up Baseline fossilizes at day-one level Raise it in the same commit as new tests

References

  • testing/mutation-testing/ — do the covering tests actually assert anything (advisory)
  • swift/code-size/ — the complexity half; small functions are coverable functions
  • testing/fitness-functions/ — architecture invariants as tests
  • generators/ci-cd-setup/ — CI wiring for the gate

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub16d

    The skill provides a comprehensive suite of testing and TDD workflows for iOS and macOS development. It includes automated tools for generating characterization tests, managing test coverage floors, and driving visual regression checks. A low-risk surface for indirect prompt injection exists because the skill reads local source code files that could contain untrusted input if modified by external entities.

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Last checked against GitHub 2 months ago.

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2026-07-24
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