QualityPython

Acceptance Test Critique Dimensions

by nWave-ai

Acceptance Test Critique Dimensions is a Quality skill for Claude Code, published by nWave-ai in nWave.

598 stars61 forkson nWave-ai/nWaveAdded 2026/08/25+1% in starsRepository updated 2026/06/27
agentic-aiagentic-codingagentic-frameworkagentic-workflowaiatddbddclaude-codeclaude-code-cliclaude-code-commandsclaude-code-hooksclaude-code-skillsclaude-code-subagentsdevopslean-uxopencodesoftware-architecturesoftware-craftmanshiptdd
Install in seconds
Install Acceptance Test Critique Dimensions
Copy Acceptance Test Critique Dimensions into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-ad-critique-dimensions ~/.claude/skills/nw-ad-critique-dimensions

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/nWave-ai/nWave.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
nWave/skills/nw-ad-critique-dimensions/SKILL.md in nWave-ai/nWave
Installs to
~/.claude/skills/nw-ad-critique-dimensions
Collection
One of 25 skills cataloged from this repository
Category
Quality1354 skills

What Acceptance Test Critique Dimensions does

Acceptance Test Critique Dimensions reviews acceptance tests for coverage, GWT structure, business-language wording, observable assertions, and traceability. Use it when peer-reviewing scenarios or walking skeletons before handoff.

Acceptance Test Critique Dimensions is cataloged under Quality on DirSkills. Acceptance Test Critique Dimensions comes from a repository tagged agentic-ai, agentic-coding, agentic-framework, agentic-workflow and ai.

Documentation

README

Acceptance Test Critique Dimensions

Load when performing peer review of acceptance tests (during *handoff-develop).

Dimension 1: Happy Path Bias

Pattern: Only successful scenarios, error paths missing.

Detection: Count success vs error scenarios. Error should be at least 40%. Missing coverage examples: login success but no invalid password | Payment processed but no decline/timeout | Search results but no empty/error cases.

Severity: blocker (production error handling untested).

Dimension 2: GWT Format Compliance

Pattern: Scenarios violate Given-When-Then structure.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Acceptance Test Critique Dimensions

  • What else does nWave-ai publish alongside Acceptance Test Critique Dimensions?

    Acceptance Test Critique Dimensions is one of 25 skills that DirSkills catalogs from nWave-ai/nWave, the repository it ships in. Its siblings there include AT Completeness Check, Agent Creation Workflow and Agent Quality Critique Dimensions. Each one is a separate skill with its own page in this directory, installs the same way Acceptance Test Critique Dimensions does, and is maintained by nWave-ai in that same repository. The rest of the collection is listed on the nWave-ai/nWave page.

  • How does Acceptance Test Critique Dimensions compare to other Quality skills?

    Acceptance Test Critique Dimensions ranks #1126 by stars among the 1354 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Acceptance Test Critique Dimensions against them. Open each page to compare what they document and how they install.

More from nWave-ai/nWave

Acceptance Test Critique Dimensions is one of 25 skills cataloged on DirSkills from nWave-ai/nWave.

See all 25 skills
6d ago

AT Completeness Check

AT Completeness Check gates acceptance-test sets against a canonical 7-category taxonomy and 15-item checklist. Use it to spot missing boundary, state, lifecycle, flag, negative, and environment cases.
Quality
59861
🤖
6d ago

Agent Creation Workflow

Agent Creation Workflow guides agent design from requirements analysis through validation and refinement. Use it when creating a new agent or modifying an existing one with clear responsibilities, tools, and quality gates.
AI Engineering
59861
6d ago

Agent Quality Critique Dimensions

Agent Quality Critique Dimensions provides checks for Claude Code agent definitions, including template compliance, safety, examples, loading, and priority. Use it when reviewing an agent file for correctness and fit.
Quality
59861
6d ago

Agent Quality Critique Dimensions

Agent Quality Critique Dimensions provides review criteria for Claude Code agent definitions, including template compliance, safety, examples, and loading behavior. Use it when validating an agent before release or refactor.
Quality
59861
🧪
6d ago

Agent Testing Framework

Agent Testing Framework defines a 5-layer approach for validating agent outputs, handoffs, and adversarial cases. It is used to check prompt injection resistance and other security constraints in Claude Code agents.
Quality
59861
🏗️
6d ago

Architectural Styles Tradeoffs

Architectural Styles Tradeoffs helps choose between common software architecture styles using decision trees, comparison matrices, and combination patterns. Use it when selecting or evaluating an architecture for a system.
AI Engineering
59861