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 smithdak/claude-marketplace --skill optimizely-experimentationgit clone --depth 1 https://github.com/smithdak/claude-marketplaceWrote 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/smithdak/claude-marketplace/optimizely-experimentation)<a href="https://agentmods.dev/skills/smithdak/claude-marketplace/optimizely-experimentation"><img src="https://agentmods.dev/badge/skills/smithdak/claude-marketplace/optimizely-experimentation/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/smithdak/claude-marketplace/optimizely-experimentation"><img src="https://agentmods.dev/badge/skills/smithdak/claude-marketplace/optimizely-experimentation.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 | $0.00016 | $0.00920 |
| Opus 5 | $0.00008 | $0.00460 |
| Sonnet 5 | $0.00003 | $0.00184 |
| Haiku 4.5 | $0.00002 | $0.00092 |
Grade A, and why
optimizely-experimentation 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 — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Optimizely Experimentation SDK
Overview
This skill covers Optimizely Full Stack SDK patterns for feature flags, A/B testing, and event tracking.
SDK Initialization
Basic Setup
import { createInstance } from '@optimizely/optimizely-sdk';
const optimizelyClient = createInstance({
sdkKey: process.env.NEXT_PUBLIC_OPTIMIZELY_SDK_KEY,
datafileOptions: {
autoUpdate: true,
updateInterval: 60000, // 1 minute
},
eventBatchSize: 10,
eventFlushInterval: 1000,
});
export default optimizelyClient;
React Provider Setup
import { OptimizelyProvider, createInstance } from '@optimizely/react-sdk';
const optimizely = createInstance({
sdkKey: process.env.NEXT_PUBLIC_OPTIMIZELY_SDK_KEY,
});
function App() {
return (
<OptimizelyProvider
optimizely={optimizely}
user={{
id: getUserId(),
attributes: getUserAttributes(),
}}
timeout={500}
>
<YourApp />
</OptimizelyProvider>
);
}
Feature Flags
Using useDecision Hook
import { useDecision } from '@optimizely/react-sdk';
function FeatureComponent() {
const [decision, clientReady] = useDecision('feature_key');
if (!clientReady) {
return <Skeleton />;
}
if (!decision.enabled) {
return null;
}
return <NewFeature variables={decision.variables} />;
}
Typed Feature Variables
interface PricingVariables {
discount: number;
currency: string;
showBadge: boolean;
}
function usePricingFeature() {
const [decision, clientReady] = useDecision('pricing_feature');
return {
isReady: clientReady,
isEnabled: decision.enabled,
discount: decision.variables.discount as number,
currency: decision.variables.currency as string,
showBadge: decision.variables.showBadge as boolean,
};
}
A/B Testing
Experiment with Variations
function CheckoutExperiment() {
const [decision, clientReady] = useDecision('checkout_experiment');
if (!clientReady) {
return <CheckoutSkeleton />;
}
switch (decision.variationKey) {
case 'single_page':
return <SinglePageCheckout />;
case 'express':
return <ExpressCheckout />;
default:
return <StandardCheckout />;
}
}
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 · 189 lines · 16 tokens per session scan A 540f2c847169
optimizely-experimentation is a skill published in the GitHub repository smithdak/claude-marketplace (3 stars, last pushed 7mo ago), licensed MIT. It adds 16 tokens to every session and 920 once invoked, about $0.0001 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 2026-08-31.
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