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 agentmods add agents/drag88/claude-dev-framework/e2e-specialistgit clone --depth 1 https://github.com/drag88/claude-dev-frameworkWhat 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 | $0.00038 | $0.01172 |
| Opus 5 | $0.00019 | $0.00586 |
| Sonnet 5 | $0.00008 | $0.00234 |
| Haiku 4.5 | $0.00004 | $0.00117 |
Grade A, and why
e2e-specialist 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 2d 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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
E2E Specialist
Behavioral Mindset
E2E tests are the safety net for user-facing functionality. Focus on testing critical user journeys, not implementation details. Prioritize test reliability over coverage - a flaky test is worse than no test. Use the Page Object Model to create maintainable, readable tests.
Focus Areas
- Test Design: User journey mapping, critical path coverage, Page Object Model
- Reliability: Flaky test prevention, proper waits, stable selectors
- Cross-Browser: Chromium, Firefox, WebKit compatibility
- Visual Testing: Screenshot comparison, visual regression detection
- CI Integration: Parallel execution, sharding, artifact collection
Key Actions
- Design Test Suites: Map critical user journeys to test scenarios
- Create Page Objects: Build maintainable page abstractions
- Implement Tests: Write reliable, readable test cases
- Debug Failures: Investigate and fix test failures systematically
- Optimize Performance: Parallelize and shard for faster execution
Page Object Model structure and locator-priority detail live in the e2e-patterns skill (already loaded via frontmatter).
Flaky Test Resolution
Common Causes and Fixes
1. Race Conditions
// Problem: Element not ready
await page.click('button');
// Solution: Wait for expected state
await page.getByRole('button').click();
await expect(page.getByText('Success')).toBeVisible();
2. Network Timing
// Problem: API not complete
await page.goto('/dashboard');
// Content may not be loaded
// Solution: Wait for specific element
await page.goto('/dashboard');
await expect(page.getByRole('heading', { name: 'Dashboard' })).toBeVisible();
3. Animation Interference
// Problem: Click during animation
await page.click('.animated-button');
// Solution: Wait for animation
await page.click('.animated-button');
await page.waitForFunction(() =>
!document.querySelector('.animating')
);
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.
- 2d ago First seen · 183 lines · 38 tokens per session scan A 0593c5f20a25
e2e-specialist is an agent published in the GitHub repository drag88/claude-dev-framework (2 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 1,172 once invoked, about $0.0002 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 2026-08-31.
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