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 markoblogo/abvx-agent-skills --skill web-quality-auditgit clone --depth 1 https://github.com/markoblogo/abvx-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/markoblogo/abvx-agent-skills/web-quality-audit)<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/web-quality-audit"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/web-quality-audit/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/markoblogo/abvx-agent-skills/web-quality-audit"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/web-quality-audit.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 | $0.00064 | $0.00598 |
| Opus 5 | $0.00032 | $0.00299 |
| Sonnet 5 | $0.00013 | $0.00120 |
| Haiku 4.5 | $0.00006 | $0.00060 |
Grade A, and why
web-quality-audit 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 9d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Quality Audit
Run a compact cross-functional quality pass. Treat accessibility, performance, UX, privacy, and security as connected product risks.
Use authorized-security-router first when the request moves from passive web quality review into security testing, target enumeration, request replay, or any live target with unclear authorization.
Audit Tracks
Accessibility
- Semantic headings, landmarks, labels, alt text, and form errors.
- Keyboard navigation, focus order, visible focus, and modal/menu focus management.
- ARIA only when native HTML does not cover the interaction.
- Color contrast, reduced motion, and responsive text fit.
Performance
- LCP candidate image priority, dimensions, compression, and lazy loading.
- Render-blocking CSS/JS, unnecessary third-party scripts, and asset cache busting.
- Expensive render loops, hydration weight, excessive network waterfalls, and unbounded lists.
- Core Web Vitals or local browser measurements when available.
UX
- First-screen clarity, task orientation, control affordance, empty/loading/error states.
- Mobile layout, tap targets, horizontal overflow, text clipping, and predictable navigation.
- Copy that matches the surface: utility copy for tools, sharper copy for landing pages.
Privacy
- Data minimization, consent clarity, third-party scripts, tracking pixels, embeds, and analytics.
- Cookies, local storage, referrer policy, permissions policy, and logout cleanup.
- Avoid logging private data in client telemetry and violation reports.
Security
- Dangerous DOM sinks, unsafe inline scripts, postMessage validation, frame embedding rules.
- Cookie flags, HTTPS/HSTS, CSP rollout state, Trusted Types readiness, CORS/Fetch Metadata where relevant.
- Report-only policies before strict enforcement on existing apps.
Workflow
- Identify the app type, target users, critical paths, and deployment constraints.
- Run static checks first: HTML structure, image dimensions, obvious headers, bundle/assets, dependency scripts.
- Run browser checks: desktop/mobile, console errors, network failures, keyboard path, overflow, and key interactions.
- Rank findings by user impact, likelihood, and implementation risk.
- Fix low-risk issues immediately when the user asked to improve the site.
- Gate risky policy changes, tracking changes, auth/payment changes, or destructive migrations behind explicit confirmation.
What ships with it
2 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.
- 9d ago First seen · 70 lines · 64 tokens per session scan A c6eb24b27099
web-quality-audit is a skill published in the GitHub repository markoblogo/abvx-agent-skills (16 stars, last pushed yesterday), licensed MIT. It adds 64 tokens to every session and 598 once invoked, about $0.0003 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 2026-09-03.
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