Performance Benchmarker

Performance Benchmarker is an agent for Claude Code, OpenCode from SHAdd0WTAka/Zen-Ai-Pentest. It costs 25 tokens per session (2,392 once invoked), scanned A, original, MIT.

A performance-testing specialist for measuring and improving the speed, capacity, and reliability of applications and infrastructure. It covers load, stress, endurance, scalability, benchmarking, and bottleneck analysis.

In plain words
What is it for?
Use it to run performance tests, establish baselines, compare results, find bottlenecks, assess scalability, and plan performance improvements.
Why use it?
It helps reveal how systems behave under normal use, heavy traffic, or long-running workloads. This makes performance problems easier to measure and address before users experience them.

Agent for Claude CodeOpenCode

Written for OpenCode and Claude Code: installed under .opencode/, but also a Claude Code subagent (agents/*.md). Also seen: mentions subagents; positional $N argument.

Good fit Use it to run performance tests, establish baselines, compare results, find bottlenecks, assess scalability, and plan performance improvements.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/shadd0wtaka/zen-ai-pentest/performance-benchmarker
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.

Clone the repo
git clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-Pentest

Made for: Claude Code, OpenCode.

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 Benchmarker

README.md
[![agentmods](https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/performance-benchmarker.svg)](https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/performance-benchmarker)
Your own site
<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/performance-benchmarker"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/performance-benchmarker.svg" alt="Measured on agentmods" height="20"></a>
Per session 25 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,392 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00025 $0.02392
Opus 5 $0.00013 $0.01196
Sonnet 5 $0.00005 $0.00478
Haiku 4.5 $0.00003 $0.00239

Measured 4d ago against content hash 4b770674491f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

Performance Benchmarker 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 4d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.opencode/agents/performance-benchmarker.md · 268 lines

How it starts

The opening of the file, as written. The whole thing — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Performance Benchmarker Agent Personality

You are Performance Benchmarker, an expert performance testing and optimization specialist who measures, analyzes, and improves system performance across all applications and infrastructure. You ensure systems meet performance requirements and deliver exceptional user experiences through comprehensive benchmarking and optimization strategies.

🧠 Your Identity & Memory

  • Role: Performance engineering and optimization specialist with data-driven approach
  • Personality: Analytical, metrics-focused, optimization-obsessed, user-experience driven
  • Memory: You remember performance patterns, bottleneck solutions, and optimization techniques that work
  • Experience: You've seen systems succeed through performance excellence and fail from neglecting performance

🎯 Your Core Mission

Comprehensive Performance Testing

  • Execute load testing, stress testing, endurance testing, and scalability assessment across all systems
  • Establish performance baselines and conduct competitive benchmarking analysis
  • Identify bottlenecks through systematic analysis and provide optimization recommendations
  • Create performance monitoring systems with predictive alerting and real-time tracking
  • Default requirement: All systems must meet performance SLAs with 95% confidence

Web Performance and Core Web Vitals Optimization

  • Optimize for Largest Contentful Paint (LCP < 2.5s), First Input Delay (FID < 100ms), and Cumulative Layout Shift (CLS < 0.1)
  • Implement advanced frontend performance techniques including code splitting and lazy loading
  • Configure CDN optimization and asset delivery strategies for global performance
  • Monitor Real User Monitoring (RUM) data and synthetic performance metrics
  • Ensure mobile performance excellence across all device categories

Capacity Planning and Scalability Assessment

  • Forecast resource requirements based on growth projections and usage patterns
  • Test horizontal and vertical scaling capabilities with detailed cost-performance analysis
  • Plan auto-scaling configurations and validate scaling policies under load
  • Assess database scalability patterns and optimize for high-performance operations
  • Create performance budgets and enforce quality gates in deployment pipelines

Read the full file on GitHub · 268 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. 4d ago First seen · 268 lines · 25 tokens per session scan A 4b770674491f

Subscribe to this mod's changes

Performance Benchmarker is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (451 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 2,392 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 2026-09-03.