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 JPeetz/agent-skills --skill playwright-e2e-testinggit clone --depth 1 https://github.com/JPeetz/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/jpeetz/agent-skills/playwright-e2e-testing)<a href="https://agentmods.dev/skills/jpeetz/agent-skills/playwright-e2e-testing"><img src="https://agentmods.dev/badge/skills/jpeetz/agent-skills/playwright-e2e-testing/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/jpeetz/agent-skills/playwright-e2e-testing"><img src="https://agentmods.dev/badge/skills/jpeetz/agent-skills/playwright-e2e-testing.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 | $0.00316 | $0.05911 |
| Opus 5.5 | $0.00126 | $0.02364 |
| Sonnet 5.5 | $0.00063 | $0.01182 |
| Haiku 4.5 | $0.00032 | $0.00591 |
Grade A, and why
playwright-e2e-testing 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
9 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.
- CHANGELOG.md 2.2 KB
- evals/eval_cases.json 4.8 KB
- LICENSE 1.0 KB
- references/ci-cd-patterns.md 2.5 KB
- references/locator-strategies.md 3.0 KB
- references/testing-types-matrix.md 3.2 KB
- scripts/flake-detector.sh 2.0 KB runs code
- scripts/generate-auth-profile.ts 3.4 KB runs code
- scripts/validate-playwright-setup.sh 2.2 KB runs code
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 Changed · +1 lines b61f03960052
- 1mo ago First seen · 800 lines · 316 tokens per session scan A 517e29081489
playwright-e2e-testing is a skill published in the GitHub repository JPeetz/agent-skills (14 stars, last pushed yesterday), with no licence file. It adds 316 tokens to every session and 5,911 once invoked, about $0.0013 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 2026-08-31.
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Use when converting a refined markdown E2E test case into a standard Playwright .spec.ts file. Triggers on "compile this test", "convert to playwright", or "generate spec from markdown". Requires a stable markdown test case and a running dev server.
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Verifies that a NetClaw-generated visualization HTML file (three.js, canvas, drawio, UML, markmap) actually renders correctly — screenshot, console-error check, and an optional Lighthouse audit. Use immediately after generating any browser-based visualization output, to close the QA gap that otherwise requires a human…