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 armanzeroeight/fastagent-plugins --skill performance-optimizergit clone --depth 1 https://github.com/armanzeroeight/fastagent-pluginsWrote 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/armanzeroeight/fastagent-plugins/performance-optimizer)<a href="https://agentmods.dev/skills/armanzeroeight/fastagent-plugins/performance-optimizer"><img src="https://agentmods.dev/badge/skills/armanzeroeight/fastagent-plugins/performance-optimizer/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/armanzeroeight/fastagent-plugins/performance-optimizer"><img src="https://agentmods.dev/badge/skills/armanzeroeight/fastagent-plugins/performance-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Output Handling · line 176 Model output is used without validation or sanitization. Unvalidated output injected into downstream contexts (SQL, shell, HTML) enables injection attacks and arbitrary code execution.Fix: Validate and sanitize all model output before using it in downstream contexts. Use parameterized queries for SQL, shell quoting for commands, and HTML encoding for web output.
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 | $0.00039 | $0.02441 |
| Opus 5.5 | $0.00016 | $0.00976 |
| Sonnet 5.5 | $0.00008 | $0.00488 |
| Haiku 4.5 | $0.00004 | $0.00244 |
Grade A, and why
performance-optimizer 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.
How it starts
The opening of the file, as written. The whole thing — 482 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performance Optimizer
Optimize frontend performance for faster load times and better user experience.
Quick Start
Measure with Lighthouse, optimize images, code split, lazy load, minimize bundle size, implement caching.
Instructions
Core Web Vitals
Largest Contentful Paint (LCP):
- Target: < 2.5s
- Measures: Loading performance
- Optimize: Images, fonts, server response
First Input Delay (FID):
- Target: < 100ms
- Measures: Interactivity
- Optimize: JavaScript execution, code splitting
Cumulative Layout Shift (CLS):
- Target: < 0.1
- Measures: Visual stability
- Optimize: Image dimensions, font loading
Bundle Size Optimization
Analyze bundle:
# With webpack-bundle-analyzer
npm install --save-dev webpack-bundle-analyzer
# Add to webpack config
const BundleAnalyzerPlugin = require('webpack-bundle-analyzer').BundleAnalyzerPlugin;
plugins: [
new BundleAnalyzerPlugin()
]
# Or with Vite
npm install --save-dev rollup-plugin-visualizer
Code splitting:
// Route-based splitting
const Dashboard = lazy(() => import('./pages/Dashboard'));
const Profile = lazy(() => import('./pages/Profile'));
function App() {
return (
<Suspense fallback={<Loading />}>
<Routes>
<Route path="/dashboard" element={<Dashboard />} />
<Route path="/profile" element={<Profile />} />
</Routes>
</Suspense>
);
}
Component-based splitting:
const HeavyChart = lazy(() => import('./HeavyChart'));
function Dashboard() {
return (
<div>
<Suspense fallback={<ChartSkeleton />}>
<HeavyChart data={data} />
</Suspense>
</div>
);
}
Tree shaking:
// Bad: Imports entire library
import _ from 'lodash';
// Good: Import only what you need
import debounce from 'lodash/debounce';
// Or use lodash-es
import { debounce } from 'lodash-es';
Image Optimization
Use Next.js Image:
import Image from 'next/image';
<Image
src="/hero.jpg"
alt="Hero image"
width={1200}
height={600}
priority // For above-fold images
placeholder="blur"
/>
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 First seen · 482 lines · 39 tokens per session scan A 679be2d85e18
performance-optimizer is a skill published in the GitHub repository armanzeroeight/fastagent-plugins (29 stars, last pushed 2mo ago), licensed MIT. It adds 39 tokens to every session and 2,441 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
guizang-ppt-skill
A skill for creating presentation decks as single HTML files that users can move through horizontally in a browser. It provides templates with WebGL backgrounds, chapter title screens, large data displays, and image grids, in either an editorial or Swiss-style visual direction.
proma-coach
A Chinese-language coach for improving how people use Proma, Agent, Skill, Chat, and project tools.
skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
automation
A built-in workflow for creating and managing automatic or scheduled tasks. It covers one-time delays, repeated runs, monitoring, reminders, run history, and changing or stopping existing tasks.
agent-collaboration
A collaboration workflow coordinates coding sub-agents, which are separate assistant sessions working on parts of a task.
docx
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when…