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.
git clone --depth 1 https://github.com/raja21068/AutoResearchWrote 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/commands/raja21068/autoresearch/e2e)<a href="https://agentmods.dev/commands/raja21068/autoresearch/e2e"><img src="https://agentmods.dev/badge/commands/raja21068/autoresearch/e2e/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/commands/raja21068/autoresearch/e2e"><img src="https://agentmods.dev/badge/commands/raja21068/autoresearch/e2e.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00010 | $0.00581 |
| Opus 5.5 | $0.00004 | $0.00232 |
| Sonnet 5.5 | $0.00002 | $0.00116 |
| Haiku 4.5 | $0.00001 | $0.00058 |
Grade A, and why
e2e 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.
This is a copy
94% identical to e2e — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
E2E Command
Generate and run end-to-end tests using Playwright: $ARGUMENTS
Your Task
- Analyze user flow to test
- Create test journey with Playwright
- Run tests and capture artifacts
- Report results with screenshots/videos
Test Structure
import { test, expect } from '@playwright/test'
test.describe('Feature: [Name]', () => {
test.beforeEach(async ({ page }) => {
// Setup: Navigate, authenticate, prepare state
})
test('should [expected behavior]', async ({ page }) => {
// Arrange: Set up test data
// Act: Perform user actions
await page.click('[data-testid="button"]')
await page.fill('[data-testid="input"]', 'value')
// Assert: Verify results
await expect(page.locator('[data-testid="result"]')).toBeVisible()
})
test.afterEach(async ({ page }, testInfo) => {
// Capture screenshot on failure
if (testInfo.status !== 'passed') {
await page.screenshot({ path: `test-results/${testInfo.title}.png` })
}
})
})
Best Practices
Selectors
- Prefer
data-testidattributes - Avoid CSS classes (they change)
- Use semantic selectors (roles, labels)
Waits
- Use Playwright's auto-waiting
- Avoid
page.waitForTimeout() - Use
expect().toBeVisible()for assertions
Test Isolation
- Each test should be independent
- Clean up test data after
- Don't rely on test order
Artifacts to Capture
- Screenshots on failure
- Videos for debugging
- Trace files for detailed analysis
- Network logs if relevant
Test Categories
-
Critical User Flows
- Authentication (login, logout, signup)
- Core feature happy paths
- Payment/checkout flows
-
Edge Cases
- Network failures
- Invalid inputs
- Session expiry
-
Cross-Browser
- Chrome, Firefox, Safari
- Mobile viewports
Report Format
E2E Test Results
================
PASS: Passed: X
FAIL: Failed: Y
SKIPPED: Skipped: Z
Failed Tests:
- test-name: Error message
Screenshot: path/to/screenshot.png
Video: path/to/video.webm
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 · 106 lines · 10 tokens per session scan A fdc040d9d32c
e2e is a command published in the GitHub repository raja21068/AutoResearch (2 stars, last pushed 5mo ago), licensed MIT. It adds 10 tokens to every session and 581 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to e2e, differing in 2 lines, and is treated as a copy.
Other commands, from other repositories
record
Record a browser walkthrough of a URL using Antigravity (agy). Generates .webm video, screenshots, and a report. Auto-converts to MP4 if ffmpeg is available.
qa-sweep
Full platform QA sweep — auto-discovers every page, tests every UI element via browser automation, creates GitHub issues for all findings.
e2e
Generate and run E2E tests with Playwright.
frontend-e2e
Perform a thorough live E2E test of a frontend web application using browser-bridge MCP tools. Tests every page, interactive element, form, navigation flow, responsive breakpoint, and accessibility rule through real browser interaction.
gba-test
$ARGUMENTS: test mode — game profile defines available modes (e.g., smoke, gameplay, save, stress, full, ai, battle, nav, custom ).
browsertest
Run, create, debug, and maintain browser tests.