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 commands/ashikparvez89/larouex-fullstack-plugin/optimize-lighthousegit clone --depth 1 https://github.com/Ashikparvez89/larouex-fullstack-pluginWrote 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/commands/ashikparvez89/larouex-fullstack-plugin/optimize-lighthouse)<a href="https://agentmods.dev/commands/ashikparvez89/larouex-fullstack-plugin/optimize-lighthouse"><img src="https://agentmods.dev/badge/commands/ashikparvez89/larouex-fullstack-plugin/optimize-lighthouse.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00129 |
| Opus 5 | $0.00000 | $0.00064 |
| Sonnet 5 | $0.00000 | $0.00026 |
| Haiku 4.5 | $0.00000 | $0.00013 |
Grade A, and why
optimize-lighthouse 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.
This is a copy
100% identical to optimize-lighthouse — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Run Lighthouse audit and implement recommended performance fixes. Improve Core Web Vitals: Largest Contentful Paint (LCP), First Input Delay (FID), Cumulative Layout Shift (CLS). Optimize font loading with font-display: swap and preloading. Add resource hints (preload, prefetch, preconnect) for critical resources. Fix accessibility issues: contrast, ARIA labels, keyboard navigation. Implement proper caching headers in staticwebapp.config.json. Optimize images and defer offscreen images. Minify CSS and JavaScript. Achieve 90+ scores in Performance, Accessibility, Best Practices, and SEO categories. Provide before/after comparison report.
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 · 2 lines · 0 tokens per session scan A c7ae7014d4d6
optimize-lighthouse is a command published in the GitHub repository Ashikparvez89/larouex-fullstack-plugin (3 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 129 tokens. A static security scan graded it A with 0 findings. It is 100% identical to optimize-lighthouse, differing in 0 lines, and is treated as a copy.
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