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 adriannoes/awesome-agentic-ai --skill generategit clone --depth 1 https://github.com/adriannoes/awesome-agentic-aiWrote 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/adriannoes/awesome-agentic-ai/generate)<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/generate"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/generate/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/adriannoes/awesome-agentic-ai/generate"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/generate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 130 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00051 | $0.01121 |
| Opus 5.5 | $0.00020 | $0.00448 |
| Sonnet 5.5 | $0.00010 | $0.00224 |
| Haiku 4.5 | $0.00005 | $0.00112 |
Grade A, and why
generate 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Playwright Tests
Generate production-ready Playwright tests from a user story, URL, component name, or feature description.
Input
$ARGUMENTS contains what to test. Examples:
"user can log in with email and password""the checkout flow""src/components/UserProfile.tsx""the search page with filters"
Steps
1. Understand the Target
Parse $ARGUMENTS to determine:
- User story: Extract the behavior to verify
- Component path: Read the component source code
- Page/URL: Identify the route and its elements
- Feature name: Map to relevant app areas
2. Explore the Codebase
Use the Explore subagent to gather context:
- Read
playwright.config.tsfortestDir,baseURL,projects - Check existing tests in
testDirfor patterns, fixtures, and conventions - If a component path is given, read the component to understand its props, states, and interactions
- Check for existing page objects in
pages/ - Check for existing fixtures in
fixtures/ - Check for auth setup (
auth.setup.tsorstorageStateconfig)
3. Select Templates
Check templates/ in this plugin for matching patterns:
| If testing... | Load template from |
|---|---|
| Login/auth flow | ../pw/templates/auth/login.md |
| CRUD operations | templates/crud/ |
| Checkout/payment | templates/checkout/ |
| Search/filter UI | templates/search/ |
| Form submission | templates/forms/ |
| Dashboard/data | templates/dashboard/ |
| Settings page | templates/settings/ |
| Onboarding flow | templates/onboarding/ |
| API endpoints | templates/api/ |
| Accessibility | templates/accessibility/ |
Adapt the template to the specific app — replace {{placeholders}} with actual selectors, URLs, and data.
4. Generate the Test
Follow these rules:
Structure:
import { test, expect } from '@playwright/test';
// Import custom fixtures if the project uses them
test.describe('Feature Name', () => {
// Group related behaviors
test('should <expected behavior>', async ({ page }) => {
// Arrange: navigate, set up state
// Act: perform user action
// Assert: verify outcome
});
});
What ships with it
1 file 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.
- 1mo ago First seen · 145 lines · 51 tokens per session scan A 995f6cf36563
generate is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (87 stars, last pushed 4d ago), licensed MIT. It adds 51 tokens to every session and 1,121 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
e2e-testing-patterns
Master end-to-end testing with Playwright and Cypress to build reliable test suites that catch bugs, improve confidence, and enable fast deployment. Use when implementing E2E tests, debugging flaky tests, or establishing testing standards.
browser-testing-with-devtools
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be…
qa/e2e-playwright
A method for writing Playwright end-to-end tests, which automate a browser to verify complete user journeys. It covers setup, reusable page objects, login reuse, API mocking, visual checks, multiple browsers and screen sizes, CI, and debugging.
ui-regression
This skill should be used when the user asks to "verify UI changes", "audit UI quality", "test every screen and action", "run regression QA", "check a deployed UI", or "validate an extension release". Test known web and browser-extension workflows on localhost, staging, or production with action coverage, recovery…
memstack-development-webapp-testing
Use when the user says 'write browser tests', 'test this page', 'playwright test', 'e2e test', 'end to end test', 'browser test', 'test the UI', or needs Playwright-based browser testing for a web application. Do NOT use for unit tests, API tests, or non-browser testing.
vibe-verify
Exercise a running product against acceptance criteria and report evidence. Build success alone does not verify behavior.