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 Kevin-Liu-01/Agent-Machines --skill web-design-guidelinesgit clone --depth 1 https://github.com/Kevin-Liu-01/Agent-MachinesWrote 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/kevin-liu-01/agent-machines/web-design-guidelines)<a href="https://agentmods.dev/skills/kevin-liu-01/agent-machines/web-design-guidelines"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/web-design-guidelines/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/kevin-liu-01/agent-machines/web-design-guidelines"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/web-design-guidelines.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00077 | $0.00361 |
| Opus 5 | $0.00039 | $0.00180 |
| Sonnet 5 | $0.00015 | $0.00072 |
| Haiku 4.5 | $0.00008 | $0.00036 |
Grade A, and why
web-design-guidelines 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 8d 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 Interface Guidelines
Review files for compliance with Vercel's Web Interface Guidelines.
How It Works
- Fetch the latest guidelines from the source URL
- Read the specified files (or prompt user for files/pattern)
- Check against all rules in the fetched guidelines
- Output findings in terse
file:lineformat
Guidelines Source
Fetch fresh guidelines before each review:
https://raw.githubusercontent.com/vercel-labs/web-interface-guidelines/main/command.md
Use WebFetch to retrieve the latest rules. The fetched content contains all rules and output format instructions.
Usage
When a user provides a file or pattern argument:
- Fetch guidelines from the source URL above
- Read the specified files
- Apply all rules from the fetched guidelines
- Output findings using the format specified in the guidelines
If no files specified, ask the user which files to review.
When to Apply
- After writing or editing React/TSX components
- During UI code review
- When checking accessibility compliance
- When auditing design system implementation
- Before submitting PRs that touch UI code
Related Skills
vercel-react-best-practices— Performance optimization rulesfrontend-design— Distinctive frontend aestheticsseo-audit— SEO compliance checking
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.
- 8d ago First seen · 51 lines · 77 tokens per session scan A c7335614ebff
web-design-guidelines is a skill published in the GitHub repository Kevin-Liu-01/Agent-Machines (29 stars, last pushed yesterday), licensed MIT. It adds 77 tokens to every session and 361 once invoked, about $0.0004 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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