acceptance-testing

acceptance-testing is a skill for Claude Code, Codex from onfire7777/universal-ai-skills-library. It costs 163 tokens per session (5,396 once invoked), scanned A, original, MIT.

A testing approach called Behavior-Driven Development (BDD), where business rules are written as readable examples and then run as automated tests. It supports tools such as Cucumber, Behave, SpecFlow, Gauge, and Godog.

In plain words
What is it for?
Use it to write feature files, connect Given/When/Then or similar steps to code, and verify that software meets business requirements.
Why use it?
It reduces misunderstandings between business stakeholders, developers, and testers by turning shared examples into checks that can run in continuous integration.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to write feature files, connect Given/When/Then or similar steps to code, and verify that software meets business requirements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/onfire7777/universal-ai-skills-library/acceptance-testing
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add onfire7777/universal-ai-skills-library --skill acceptance-testing
Clone the repo
git clone --depth 1 https://github.com/onfire7777/universal-ai-skills-library

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for acceptance-testing

README.md
[![agentmods](https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/acceptance-testing/github.svg)](https://agentmods.dev/skills/onfire7777/universal-ai-skills-library/acceptance-testing)
Your own site
<a href="https://agentmods.dev/skills/onfire7777/universal-ai-skills-library/acceptance-testing"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/acceptance-testing/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for acceptance-testing

Your own site · 80×15
<a href="https://agentmods.dev/skills/onfire7777/universal-ai-skills-library/acceptance-testing"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/acceptance-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 163 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,396 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00163 $0.05396
Opus 5 $0.00081 $0.02698
Sonnet 5 $0.00033 $0.01079
Haiku 4.5 $0.00016 $0.00540

Measured 10d ago against content hash b670cb47a3f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

acceptance-testing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/acceptance-testing/SKILL.md · 714 lines

How it starts

The opening of the file, as written. The whole thing — 714 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Acceptance Testing (BDD)

Overview

Acceptance testing verifies that software meets business requirements by executing human-readable specifications. Behavior-Driven Development (BDD) bridges the gap between business stakeholders and developers through a collaborative workflow: business rules are written as executable specifications (feature files), automated with step definitions, and run as part of the CI pipeline.

For Gherkin specification syntax (Given/When/Then), see specs/documentation/gherkin. For Gauge specification syntax (Markdown specs), see specs/documentation/gauge.

BDD Workflow

  Collaborate          Specify            Automate           Validate
 ┌──────────┐     ┌──────────────┐    ┌──────────────┐   ┌──────────────┐
 │ Business  │────►│   Feature    │───►│    Step      │──►│  CI Pipeline │
 │ + Dev +   │     │   Files      │    │  Definitions │   │  Execution   │
 │ QA discuss│     │ (Gherkin/    │    │ (code that   │   │  + Reports   │
 │ examples  │     │  Gauge spec) │    │  runs specs) │   │              │
 └──────────┘     └──────────────┘    └──────────────┘   └──────────────┘
  1. Collaborate — Business, dev, and QA discuss requirements using concrete examples (Example Mapping, Three Amigos).
  2. Specify — Write executable specifications in Gherkin or Gauge Markdown format.
  3. Automate — Implement step definitions that translate specification steps into code.
  4. Validate — Run specifications as automated tests in CI; generate living documentation.

Cross-Platform Tools

Tool Languages Spec Format Strengths
Cucumber Java, JS/TS, Ruby Gherkin (.feature) Industry standard, largest ecosystem
SpecFlow / Reqnroll C# (.NET) Gherkin (.feature) .NET-native, context injection, parallel execution
Behave Python Gherkin (.feature) Pythonic, fixtures, environment hooks
Gauge Java, JS, C#, Python, Ruby, Go Markdown (.spec) Markdown specs, concept reuse, data tables
Godog Go Gherkin (.feature) Go-native, godog.Suite, step definitions

Read the full file on GitHub · 714 lines

Files

What ships with it

29 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 714 lines · 163 tokens per session scan A b670cb47a3f4

Subscribe to this mod's changes

acceptance-testing is a skill published in the GitHub repository onfire7777/universal-ai-skills-library (16 stars, last pushed 1mo ago), licensed MIT. It adds 163 tokens to every session and 5,396 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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