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 lettuce-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/lettuce-skill)<a href="https://agentmods.dev/skills/lambdatest/agent-skills/lettuce-skill"><img src="https://agentmods.dev/badge/skills/lambdatest/agent-skills/lettuce-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/lettuce-skill"><img src="https://agentmods.dev/badge/skills/lambdatest/agent-skills/lettuce-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 | $0.00068 | $0.00850 |
| Opus 5 | $0.00034 | $0.00425 |
| Sonnet 5 | $0.00014 | $0.00170 |
| Haiku 4.5 | $0.00007 | $0.00085 |
Grade A, and why
lettuce-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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lettuce BDD Skill (Legacy)
Note: Lettuce is largely unmaintained. For new Python BDD projects, use Behave instead.
Core Patterns
Feature File (features/login.feature)
Feature: User Login
Scenario: Successful login
Given I navigate to the login page
When I enter "[email protected]" as email
And I enter "password123" as password
And I click login
Then I should see the dashboard
Scenario: Invalid login
Given I navigate to the login page
When I enter "[email protected]" as email
And I enter "wrong" as password
And I click login
Then I should see "Invalid credentials"
Step Definitions (features/steps.py)
from lettuce import step, world
from selenium import webdriver
from selenium.webdriver.common.by import By
@step(r'I navigate to the login page')
def navigate_to_login(step):
world.browser = webdriver.Chrome()
world.browser.get(world.base_url + '/login')
@step(r'I enter "([^"]*)" as email')
def enter_email(step, email):
el = world.browser.find_element(By.ID, 'email')
el.clear()
el.send_keys(email)
@step(r'I enter "([^"]*)" as password')
def enter_password(step, password):
el = world.browser.find_element(By.ID, 'password')
el.clear()
el.send_keys(password)
@step(r'I click login')
def click_login(step):
world.browser.find_element(By.CSS_SELECTOR, 'button[type="submit"]').click()
@step(r'I should see the dashboard')
def see_dashboard(step):
assert '/dashboard' in world.browser.current_url
@step(r'I should see "([^"]*)"')
def see_text(step, text):
assert text in world.browser.page_source
Terrain (Setup/Teardown — terrain.py)
from lettuce import before, after, world
@before.all
def setup():
world.base_url = 'http://localhost:3000'
@before.each_scenario
def before_scenario(scenario):
pass
@after.each_scenario
def cleanup(scenario):
if hasattr(world, 'browser'):
world.browser.quit()
@after.all
def teardown(total):
print(f"Ran {total.scenarios_ran} scenarios")
What ships with it
2 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 · 137 lines · 68 tokens per session scan A 2b0137c065f3
lettuce-skill is a skill published in the GitHub repository LambdaTest/agent-skills (366 stars, last pushed 1mo ago), licensed MIT. It adds 68 tokens to every session and 850 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.
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