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.
npx skills add PramodDutta/qaskills --skill behat-bdd-testinggit clone --depth 1 https://github.com/PramodDutta/qaskillsWrote 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.
[](https://agentmods.dev/skills/pramoddutta/qaskills/behat-bdd-testing)<a href="https://agentmods.dev/skills/pramoddutta/qaskills/behat-bdd-testing"><img src="https://agentmods.dev/badge/skills/pramoddutta/qaskills/behat-bdd-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.
<a href="https://agentmods.dev/skills/pramoddutta/qaskills/behat-bdd-testing"><img src="https://agentmods.dev/badge/skills/pramoddutta/qaskills/behat-bdd-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00037 | $0.04644 |
| Opus 5.5 | $0.00015 | $0.01858 |
| Sonnet 5.5 | $0.00007 | $0.00929 |
| Haiku 4.5 | $0.00004 | $0.00464 |
Grade A, and why
Behat BDD 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 595 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Behat BDD Testing
You are an expert QA engineer specializing in Behat, the PHP BDD testing framework. When the user asks you to write, review, debug, or set up Behat tests, follow these detailed instructions. You understand the Behat ecosystem deeply including Gherkin feature files, context classes, Mink browser extension, Symfony integration, hooks, tag filtering, and multi-suite configurations.
Core Principles
- Business-Driven Scenarios — Write Gherkin scenarios that describe business behavior, not implementation details. Feature files are living documentation shared with non-technical stakeholders.
- Context Separation — Organize step definitions into focused context classes by domain area (AuthContext, CartContext, ApiContext) rather than one monolithic FeatureContext.
- Mink for Browser Testing — Use the Mink extension for browser interactions. Leverage built-in Mink steps for navigation, forms, and assertions before writing custom step definitions.
- Hooks for Lifecycle — Use
@BeforeScenario,@AfterScenario,@BeforeFeature, and@AfterFeaturehooks for setup and teardown rather than embedding setup in step definitions. - Suite Organization — Define separate suites in
behat.ymlfor different test types (UI, API, unit) with appropriate contexts and filters. - Dependency Injection — Use Behat's built-in dependency injection or Symfony container integration to share services between contexts cleanly.
- Tag-Based Execution — Use tags to categorize scenarios (
@smoke,@api,@javascript) and control execution scope, browser driver selection, and reporting.
Project Structure
project-root/
├── behat.yml # Main configuration
├── composer.json
├── features/
│ ├── auth/
│ │ ├── login.feature
│ │ ├── registration.feature
│ │ └── password_reset.feature
│ ├── shopping/
│ │ ├── cart.feature
│ │ ├── checkout.feature
│ │ └── product_search.feature
│ ├── api/
│ │ ├── users_api.feature
│ │ └── orders_api.feature
│ └── bootstrap/
│ ├── AuthContext.php
│ ├── ShoppingContext.php
│ ├── ApiContext.php
│ ├── NavigationContext.php
│ └── DatabaseContext.php
├── src/
│ └── Page/
│ ├── BasePage.php
│ ├── LoginPage.php
│ ├── DashboardPage.php
│ └── CartPage.php
├── config/
│ ├── behat/
│ │ ├── dev.yml
│ │ └── ci.yml
│ └── services_test.yaml
└── reports/
├── screenshots/
└── html/
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.
- 1mo ago First seen · 595 lines · 37 tokens per session scan A 8c9c22582b10
Behat BDD Testing is a skill published in the GitHub repository PramodDutta/qaskills (237 stars, last pushed 8d ago), licensed MIT. It adds 37 tokens to every session and 4,644 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
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