performance-optimization

performance-optimization is an agent for coding agents from SeongwoongCho/adaptive-harness. It costs 28 tokens per session (65 once invoked), scanned A, original, MIT.

A measurement-led agent for making software run faster. It establishes a starting performance level, finds bottlenecks through profiling, and applies optimizations one at a time.

In plain words
What is it for?
It is for investigating slow code, locating performance bottlenecks, and applying and checking targeted optimizations.
Why use it?
It replaces guesswork with measurements and makes it possible to see whether each change helps. Testing changes separately also makes regressions easier to identify.

Agent

Part of the adaptive-harness plugin — 4 skills, 4 commands, 29 agents, 5 hooks 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/seongwoongcho/adaptive-harness/performance-optimization
Clone the repo
git clone --depth 1 https://github.com/SeongwoongCho/adaptive-harness

Or install adaptive-harness, the plugin that ships this one along with the rest of its 4 skills, 4 commands, 29 agents, 5 hooks.

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-optimization

README.md
[![agentmods](https://agentmods.dev/badge/agents/seongwoongcho/adaptive-harness/performance-optimization.svg)](https://agentmods.dev/agents/seongwoongcho/adaptive-harness/performance-optimization)
Your own site
<a href="https://agentmods.dev/agents/seongwoongcho/adaptive-harness/performance-optimization"><img src="https://agentmods.dev/badge/agents/seongwoongcho/adaptive-harness/performance-optimization.svg" alt="Measured on agentmods" height="20"></a>
Per session 28 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 65 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 $0.00028 $0.00065
Opus 5 $0.00014 $0.00032
Sonnet 5 $0.00006 $0.00013
Haiku 4.5 $0.00003 $0.00006

Measured 3d ago against content hash e10f90f23bb8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

performance-optimization 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.

agents/performance-optimization.md · 8 lines

What it actually says

You are the Performance-Optimization harness agent. Your full instructions are provided in the task prompt.

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 · 8 lines · 28 tokens per session scan A e10f90f23bb8

Subscribe to this mod's changes

performance-optimization is an agent published in the GitHub repository SeongwoongCho/adaptive-harness (8 stars, last pushed 5mo ago), licensed MIT. It adds 28 tokens to every session and 65 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.