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 0x-Professor/Agent-Skills-Hub --skill web-frontend-testergit clone --depth 1 https://github.com/0x-Professor/Agent-Skills-HubWrote 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/0x-professor/agent-skills-hub/web-frontend-tester)<a href="https://agentmods.dev/skills/0x-professor/agent-skills-hub/web-frontend-tester"><img src="https://agentmods.dev/badge/skills/0x-professor/agent-skills-hub/web-frontend-tester/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/0x-professor/agent-skills-hub/web-frontend-tester"><img src="https://agentmods.dev/badge/skills/0x-professor/agent-skills-hub/web-frontend-tester.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 | $0.00022 | $0.00318 |
| Opus 5 | $0.00011 | $0.00159 |
| Sonnet 5 | $0.00004 | $0.00064 |
| Haiku 4.5 | $0.00002 | $0.00032 |
Grade A, and why
web-frontend-tester 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 11d 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.
What it actually says
Web Frontend Tester
Objective
Validate frontend quality across user journeys, a11y, visual regressions, and performance targets.
Required Workflow
- Set up Playwright for E2E critical journeys (login, checkout, form submit, navigation).
- Configure unit/component tests with Vitest + Testing Library (or Jest + Testing Library).
- Run accessibility audits:
- axe-core via
@axe-core/playwright - Lighthouse CI for performance, SEO, accessibility
- axe-core via
- Run visual regression tests with Percy or Chromatic.
- Verify page load under 3 seconds on 4G, Lighthouse performance score >= 80, and no console errors.
- Check missing alt tags, color contrast, and keyboard navigation.
- Output
frontend-test-report.jsonwith Lighthouse scores and pass/fail counts.
Execution
python skills/web-frontend-tester/scripts/frontend_tester.py --input <workspace> --output <out.json> --format json
References
references/tools.md
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.
- 11d ago First seen · 45 lines · 22 tokens per session scan A b0af9f7d16e2
web-frontend-tester is a skill published in the GitHub repository 0x-Professor/Agent-Skills-Hub (10 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 22 tokens to every session and 318 once invoked, about $0.0001 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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