test-at-the-behavioral-boundary

Guides writing tests that assert public behavior contracts instead of private implementation details.

1|Updated Aug 11, 2026
One-click install
npx skills add https://github.com/0xMuluh/package-development-skills --skill test-at-the-behavioral-boundary-0xmuluh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: test-at-the-behavioral-boundary
Source: https://github.com/0xMuluh/package-development-skills/tree/main/test-at-the-behavioral-boundary
Command: npx skills add https://github.com/0xMuluh/package-development-skills --skill test-at-the-behavioral-boundary-0xmuluh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Test suites that assert private helpers, call graphs, or incidental structure make refactoring expensive and lock in implementation details. This Skill helps you write tests that protect user-facing contracts—inputs, outputs, classes, dimensions, names, alignment, errors—while leaving internals free to change. ## Core Features & Use Cases - Boundary Selection: A structured procedure for stating the behavior under test, choosing the highest stable boundary, building minimal revealing fixtures, and asserting only relevant properties. - Scenario Guidance: Dedicated patterns for regression tests, characterization tests, adapter tests, migration tests, dependency replacements, refactors, API changes, snapshots, and numerical tolerance. - Use Case: When fixing a bug where a valid numeric experiment index throws an error, write a regression test with a minimal object and the expected selected experiment—rather than inspecting the function's source or internal helper calls. ## Quick Start Ask the AI to apply the test-at-the-behavioral-boundary skill to review or write tests for your package's public function, identifying the behavior contract, stable boundary, fixture, and assertions before coding.

Frequently Asked Questions about test-at-the-behavioral-boundary

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write tests that survive refactoring?▼

Test at the highest stable boundary—public functions or object contracts—and assert observable properties like outputs, classes, dimensions, and names. Avoid asserting private helper calls or internal structure, so implementation changes do not break the suite.

What is the difference between regression and characterization tests?▼

A regression test reproduces a concrete historical defect: it fails before the fix and passes after. A characterization test captures existing behavior of poorly tested public methods before maintenance, protecting only behavior you intend to preserve.

When is it acceptable to test private helper functions?▼

Test private helpers only when they have a clear semantic contract, multiple callers, or edge behavior that is expensive to reproduce through public APIs. Even then, prefer behavior-based assertions over structural ones.

How should I test numerical code without flaky failures?▼

Use tolerances appropriate to the algorithm, scale, and platform rather than exact floating-point equality. Set seeds for stochastic methods, and separate structural assertions (class, dimensions, names) from numerical ones.

Should I retest upstream dependencies in my adapter tests?▼

No. Test only the integration boundary: that your adapter selects correct data, aligns observations, forwards key arguments, and returns the expected upstream class. Do not duplicate the dependency's own validation suite.

When should snapshot tests be avoided?▼

Avoid snapshots for large numerical objects, volatile metadata, platform-sensitive output, or objects where only a few fields matter. Reserve them for stable textual summaries, print methods, and error reports where full structure matters.