performance-optimizer

performance-optimizer is an agent for Claude Code from sejongjeong/runai-mcp. It costs 48 tokens per session (3,050 once invoked), scanned A, original, no licence file.

A specialist agent for finding and improving slow software, including its code, memory use, rendering, and bundled files.

In plain words
What is it for?
Profiling applications, investigating memory leaks, improving rendering, reducing bundle size, and optimizing algorithms.
Why use it?
It helps locate performance bottlenecks and guide changes that reduce wasted time or resources.

Agent for Claude Code

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/sejongjeong/runai-mcp/performance-optimizer
Clone the repo
git clone --depth 1 https://github.com/sejongjeong/runai-mcp

Made for: Claude Code.

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 performance-optimizer

README.md
[![agentmods](https://agentmods.dev/badge/agents/sejongjeong/runai-mcp/performance-optimizer.svg)](https://agentmods.dev/agents/sejongjeong/runai-mcp/performance-optimizer)
Your own site
<a href="https://agentmods.dev/agents/sejongjeong/runai-mcp/performance-optimizer"><img src="https://agentmods.dev/badge/agents/sejongjeong/runai-mcp/performance-optimizer.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,050 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin unknown 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 $0.00048 $0.03050
Opus 5 $0.00024 $0.01525
Sonnet 5 $0.00010 $0.00610
Haiku 4.5 $0.00005 $0.00305

Measured 3d ago against content hash cdf0a68b870d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

performance-optimizer scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

const data = await fetch(url).then(r => r.json());
.claude/agents/performance-optimizer.md · 447 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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 · 447 lines · 48 tokens per session scan A cdf0a68b870d

Subscribe to this mod's changes

performance-optimizer is an agent published in the GitHub repository sejongjeong/runai-mcp (0 stars, last pushed 5mo ago), with no licence file. It adds 48 tokens to every session and 3,050 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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