optimizely-performance

optimizely-performance is an agent for coding agents from smithdak/claude-marketplace. It costs 19 tokens per session (1,637 once invoked), scanned A, original, MIT.

An analysis guide for finding performance problems in Optimizely CMS, a system for managing website content. It focuses on content loading, caching, and inefficient data-access patterns.

In plain words
What is it for?
Use it to review Optimizely code for unbounded queries, loading content repeatedly in loops, missing limits, and related caching or content-loading issues.
Why use it?
It helps identify code that loads too much content or makes excessive database requests, which can slow a site and use unnecessary memory.

Agent

Part of the optimizely plugin — 5 skills, 4 commands, 10 agents shipped together

Install

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.

agentmods
npx agentmods add agents/smithdak/claude-marketplace/performance
Clone the repo
git clone --depth 1 https://github.com/smithdak/claude-marketplace

Or install optimizely, the plugin that ships this one along with the rest of its 5 skills, 4 commands, 10 agents.

Wrote 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.

agentmods badge for optimizely-performance

README.md
[![agentmods](https://agentmods.dev/badge/agents/smithdak/claude-marketplace/performance.svg)](https://agentmods.dev/agents/smithdak/claude-marketplace/performance)
Your own site
<a href="https://agentmods.dev/agents/smithdak/claude-marketplace/performance"><img src="https://agentmods.dev/badge/agents/smithdak/claude-marketplace/performance.svg" alt="Measured on agentmods" height="20"></a>
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,637 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00019 $0.01637
Opus 5 $0.00010 $0.00818
Sonnet 5 $0.00004 $0.00327
Haiku 4.5 $0.00002 $0.00164

Measured 3d ago against content hash d7aa8d369bb5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

optimizely-performance 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 3d 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.

plugins/optimizely-cms-analyzer/agents/performance.md · 281 lines

How it starts

The opening of the file, as written. The whole thing — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Optimizely Performance Agent

Analyze content loading patterns, caching strategies, and performance anti-patterns.

Analysis Areas

1. Unbounded Content Loading

PERF-001: GetChildren Without Take() Limit (Critical)

Unbounded content queries can cause memory and performance issues:

Grep: GetChildren\s*<.*>\s*\([^)]*\)(?!.*Take)
Grep: GetDescendents\s*\(
Grep: GetAncestors\s*\(

Bad Pattern:

// Loads ALL children - could be thousands!
var children = _contentLoader.GetChildren<IContent>(parentLink);

// Even worse - recursive descendants
var allDescendants = _contentLoader.GetDescendents(startPage);

Good Pattern:

// Bounded query
var children = _contentLoader.GetChildren<ArticlePage>(parentLink)
    .OrderByDescending(x => x.StartPublish)
    .Take(10);

// Or use pagination
var pagedChildren = _contentLoader.GetChildren<ArticlePage>(parentLink)
    .Skip(page * pageSize)
    .Take(pageSize);

2. N+1 Content Loading

PERF-002: N+1 Content Loading in Loops (Critical)

Loading content inside loops causes many database roundtrips:

Grep: foreach.*\{[\s\S]*?GetContent\s*\(
Grep: for\s*\(.*\{[\s\S]*?GetContent\s*\(
Grep: \.Select\(.*GetContent

Bad Pattern:

var references = GetContentReferences();
foreach (var reference in references)
{
    // N+1 problem - one query per item!
    var content = _contentLoader.Get<IContent>(reference);
    Process(content);
}

Good Pattern:

var references = GetContentReferences();
// Single batch query
var contents = _contentLoader.GetItems(references, new LoaderOptions());
foreach (var content in contents)
{
    Process(content);
}

3. Content Loader Usage

PERF-003: Not Using IContentLoader (Warning)

IContentLoader provides caching; IContentRepository does not:

Grep: IContentRepository\.Get
Grep: _contentRepository\.Get

Prefer IContentLoader for reads:

// Good: Uses cache
var page = _contentLoader.Get<ArticlePage>(contentLink);

// Only use IContentRepository for write operations
_contentRepository.Save(page, SaveAction.Publish);

Read the full file on GitHub · 281 lines

Changes

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.

  1. 3d ago First seen · 281 lines · 19 tokens per session scan A d7aa8d369bb5

Subscribe to this mod's changes

optimizely-performance is an agent published in the GitHub repository smithdak/claude-marketplace (2 stars, last pushed 7mo ago), licensed MIT. It adds 19 tokens to every session and 1,637 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.