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 LambdaTest/agent-skills --skill reqnroll-skillgit clone --depth 1 https://github.com/LambdaTest/agent-skillsWrote 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/lambdatest/agent-skills/reqnroll-skill)<a href="https://agentmods.dev/skills/lambdatest/agent-skills/reqnroll-skill"><img src="https://agentmods.dev/badge/skills/lambdatest/agent-skills/reqnroll-skill/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/lambdatest/agent-skills/reqnroll-skill"><img src="https://agentmods.dev/badge/skills/lambdatest/agent-skills/reqnroll-skill.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 | $0.00158 | $0.01749 |
| Opus 5 | $0.00079 | $0.00874 |
| Sonnet 5 | $0.00032 | $0.00350 |
| Haiku 4.5 | $0.00016 | $0.00175 |
Grade A, and why
reqnroll-skill 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 9d 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
This skill guides QA engineers and test architects in writing production-grade Reqnroll
BDD tests for web and mobile automation in C#. It covers three execution paths — Selenium 4
with manual driver management, Selenium 3 via the Reqnroll.Actions plugin, and Appium 2
for Android mobile — all targeting TestMu AI (LambdaTest) cloud infrastructure.
Reqnroll is the actively maintained open-source successor to SpecFlow. Existing SpecFlow projects can migrate by swapping the NuGet package and namespace — no step definition rewrites required.
Key Execution Pathways
Framework Selection: Distinguishes between Selenium 4 (manual DriverFactory),
Selenium 3 (Reqnroll.SpecFlowCompatibility.Actions.LambdaTest plugin with
IBrowserInteractions), and Appium 2 (Appium.WebDriver, AndroidDriver).
Cloud vs Local: Reads LT_USERNAME and LT_ACCESS_KEY environment variables;
routes to hub.lambdatest.com (web) or mobile-hub.lambdatest.com (mobile).
Reports pass/fail to LambdaTest via lambda-status JavaScript executor calls in
[AfterScenario].
Parallelism: Uses [assembly: Parallelizable(ParallelScope.Fixtures)] with
[assembly: LevelOfParallelism(N)] (NUnit). State is shared between step definition
classes via ScenarioContext (injected by Reqnroll's DI container), not static fields.
Core Technical Patterns
Feature Files (Gherkin)
Each .feature file maps to one test class. Scenarios are tagged (@tagName) for
selective filtering with dotnet test --filter "Category=tagName". Background steps
run before every scenario in the file; Scenario Outlines drive data-driven testing via
Examples tables.
Step Definitions
Classes are decorated with [Binding]. Constructor injection (via Reqnroll's built-in
DI) receives ScenarioContext or shared context objects. One [Binding] class per
concern keeps files small. Regex-based step patterns use (.*) or typed captures
((\d+)) — no attribute-level type converters needed for primitives.
What ships with it
5 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.
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.
- 9d ago First seen · 155 lines · 158 tokens per session scan A 888bcdd311b6
reqnroll-skill is a skill published in the GitHub repository LambdaTest/agent-skills (366 stars, last pushed 1mo ago), licensed MIT. It adds 158 tokens to every session and 1,749 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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