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 geb-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/geb-skill)<a href="https://agentmods.dev/skills/lambdatest/agent-skills/geb-skill"><img src="https://agentmods.dev/badge/skills/lambdatest/agent-skills/geb-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/geb-skill"><img src="https://agentmods.dev/badge/skills/lambdatest/agent-skills/geb-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 | $0.00069 | $0.00948 |
| Opus 5 | $0.00034 | $0.00474 |
| Sonnet 5 | $0.00014 | $0.00190 |
| Haiku 4.5 | $0.00007 | $0.00095 |
Grade A, and why
geb-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 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.
How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Geb Automation Skill
For TestMu AI cloud execution, see reference/cloud-integration.md and shared/testmu-cloud-reference.md.
Core Patterns
Basic Test (Spock)
import geb.spock.GebSpec
class LoginSpec extends GebSpec {
def "login with valid credentials"() {
when:
to LoginPage
emailInput.value("[email protected]")
passwordInput.value("password123")
loginButton.click()
then:
at DashboardPage
welcomeMessage.text().contains("Welcome")
}
def "login shows error for invalid credentials"() {
when:
to LoginPage
emailInput.value("[email protected]")
passwordInput.value("wrong")
loginButton.click()
then:
at LoginPage
errorMessage.displayed
errorMessage.text().contains("Invalid")
}
}
Page Objects
class LoginPage extends geb.Page {
static url = "/login"
static at = { title == "Login" }
static content = {
emailInput { $("#email") }
passwordInput { $("#password") }
loginButton { $("button[type='submit']") }
errorMessage(required: false) { $(".error") }
}
}
class DashboardPage extends geb.Page {
static url = "/dashboard"
static at = { $(".dashboard").displayed }
static content = {
welcomeMessage { $(".welcome") }
userName { $(".user-name") }
}
}
Navigator API
$("css-selector")
$("div", class: "active")
$("input", name: "email")
$("div.items li", 0) // First match
$("div.items li").size() // Count
// Actions
element.click()
element.value("text")
element << "text" // Append text
element.text()
element.displayed
element.@href // Attribute
Cloud: driver = new RemoteWebDriver(new URL(gridUrl), caps)
Setup: Gradle with geb-spock and selenium-support dependencies
Cloud Execution on TestMu AI
What ships with it
3 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.
- 10d ago First seen · 148 lines · 69 tokens per session scan A 97d4eea543d7
geb-skill is a skill published in the GitHub repository LambdaTest/agent-skills (366 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 948 once invoked, about $0.0003 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.
Other skills, from other repositories
browse
Drive a real browser through Aside: open a page, read it, click through a flow, take screenshots, check console errors. (gstack).
playwright-cli
A command-line tool for controlling Chromium, Firefox, and WebKit browsers, including navigation, page interaction, screenshots, PDFs, and recorded actions.
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
create-verification-skill
Create a repo-local verification skill and exhaustive feature map for driving a real app through its UI, CLI, or API. Use for "create a verification skill", "make a verify skill for this repo", or "document how agents can verify this app".
browser-qa
A browser-based quality check for deployed web pages and user flows. It uses browser automation to test rendering, navigation, forms, interactions, responsive behaviour, and accessibility-related issues.
test-electron-app
Drive the real running PostHog Electron app (live tRPC, workspace-server, real data) over CDP with agent-browser. Connect to the running app on port 9222, test desktop changes against a local Django stack, snapshot the accessibility tree, inspect network requests, and screenshot only when explicitly asked. Use when…