performance-optimizer

An agent that analyzes and improves software performance across different programming languages and platforms.

In plain words
What is it for?
Use it to profile applications, investigate bottlenecks, reduce bundle size, improve rendering, find memory leaks, or optimize frontend and backend code.
Why use it?
It helps find slow operations, excessive memory use, rendering problems, leaks, large bundles, and inefficient algorithms.

Agent

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/earthchen/ai-assets/performance-optimizer
Clone the repo
git clone --depth 1 https://github.com/EarthChen/ai-assets
Per session 56 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,929 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 $0.00056 $0.02929
Opus 5 $0.00028 $0.01465
Sonnet 5 $0.00011 $0.00586
Haiku 4.5 $0.00006 $0.00293

Measured yesterday against content hash 7ad9f2ba2cd1, 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 yesterday.

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());
agents/performance-optimizer.md · 352 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. yesterday First seen · 352 lines · 56 tokens per session scan A 7ad9f2ba2cd1

Subscribe to this mod's changes

performance-optimizer is an agent published in the GitHub repository EarthChen/ai-assets (2 stars, last pushed 6d ago), with no licence file. It adds 56 tokens to every session and 2,929 once invoked, about $0.0003 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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