cucumber-gherkin

cucumber-gherkin is a skill for Claude Code from el-feo/ai-context. It costs 131 tokens per session (1,129 once invoked), scanned A, original, MIT.

A guide to Cucumber and Gherkin, tools for writing software behavior as readable scenarios and running them against Ruby or Rails applications. BDD, or behavior-driven development, describes expected behavior before implementation.

In plain words
What is it for?
Use it to write feature files, Given/When/Then scenarios, reusable setup, parameterized examples, and Ruby steps for automated tests.
Why use it?
It turns requirements into examples that developers and non-developers can read, helping teams agree on what the application should do.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ruby-rails plugin — 13 skills, 3 commands shipped together

Good fit Use it to write feature files, Given/When/Then scenarios, reusable setup, parameterized examples, and Ruby steps for automated tests.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/el-feo/ai-context/cucumber-gherkin
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 el-feo/ai-context --skill cucumber-gherkin
Clone the repo
git clone --depth 1 https://github.com/el-feo/ai-context

Made for: Claude Code.

Or install ruby-rails, the plugin that ships this one along with the rest of its 13 skills, 3 commands.

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 cucumber-gherkin

README.md
[![agentmods](https://agentmods.dev/badge/skills/el-feo/ai-context/cucumber-gherkin/github.svg)](https://agentmods.dev/skills/el-feo/ai-context/cucumber-gherkin)
Your own site
<a href="https://agentmods.dev/skills/el-feo/ai-context/cucumber-gherkin"><img src="https://agentmods.dev/badge/skills/el-feo/ai-context/cucumber-gherkin/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 cucumber-gherkin

Your own site · 80×15
<a href="https://agentmods.dev/skills/el-feo/ai-context/cucumber-gherkin"><img src="https://agentmods.dev/badge/skills/el-feo/ai-context/cucumber-gherkin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 131 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,129 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 $0.00131 $0.01129
Opus 5 $0.00066 $0.00564
Sonnet 5 $0.00026 $0.00226
Haiku 4.5 $0.00013 $0.00113

Measured 10d ago against content hash b5e8e70e9678, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

cucumber-gherkin 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.

plugins/ruby-rails/skills/cucumber-gherkin/SKILL.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cucumber & Gherkin

BDD testing framework with plain-text executable specifications and Ruby step definitions.

Feature file (.feature) ──> Step Definitions (Ruby) ──> System under test

Gherkin Quick Reference

Feature: Short description
  Optional multi-line description.

  Background:
    Given common setup for all scenarios

  Rule: Business rule grouping (Gherkin 6+)

    Scenario: Concrete example
      Given an initial context
      When an action occurs
      Then expected outcome
      And additional assertion
      But negative assertion

    Scenario Outline: Parameterized
      Given there are <start> items
      When I remove <remove> items
      Then I should have <remaining> items

      Examples:
        | start | remove | remaining |
        |    12 |      5 |         7 |
        |    20 |      5 |        15 |

Step keywords: Given (setup), When (action), Then (assertion), And/But (continuation), * (bullet)

Data tables:

Given the following users exist:
  | name  | email             | role  |
  | Alice | [email protected] | admin |

Doc strings:

Given a blog post with content:
  """markdown
  # My Post Title
  Content here.
  """

Tags: @smoke @critical on Feature/Rule/Scenario/Examples. Expressions: @smoke and not @slow, (@smoke or @critical) and not @wip

Ruby Step Definitions

# Cucumber Expressions (preferred)
Given('I have {int} cucumbers in my belly') do |count|
  @belly = Belly.new
  @belly.eat(count)
end

When('I wait {int} hour(s)') do |hours|
  @belly.wait(hours)
end

Then('my belly should growl') do
  expect(@belly.growling?).to be true
end

# Data table
Given('the following users exist:') do |table|
  table.hashes.each { |row| User.create!(row) }
end

# Doc string
Given('a JSON payload:') do |json|
  @payload = JSON.parse(json)
end

Cucumber Expressions: {int}, {float}, {word}, {string}, {} (anonymous). Optional: cucumber(s). Alternatives: color/colour.

Read the full file on GitHub · 167 lines

Files

What ships with it

4 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 · 167 lines · 131 tokens per session scan A b5e8e70e9678

Subscribe to this mod's changes

cucumber-gherkin is a skill published in the GitHub repository el-feo/ai-context (12 stars, last pushed 1mo ago), licensed MIT. It adds 131 tokens to every session and 1,129 once invoked, about $0.0007 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.

Related

Other skills, from other repositories

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

tika-eval-compare

Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".

apache/tika · 50 tokens

neuron-evaluation-engineer

Create and run AI evaluations with datasets, assertions, and output drivers in Neuron AI. Use this skill whenever the user mentions evaluation, testing AI systems, creating evaluators, dataset-driven testing, assertion-based validation, or wants to measure AI system performance. Also trigger for tasks involving…

neuron-core/neuron-ai · 77 tokens

jetson-validate-image

Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.

NVIDIA/skills · 50 tokens

atmos-validation

Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.

cloudposse/atmos · 31 tokens

skill-benchmark

Benchmark AI skill effectiveness by measuring implementation quality against legacy constraints.

HoangNguyen0403/agent-skills-standard · 16 tokens