agent-benchmark-suite

agent-benchmark-suite is a skill for Claude Code from akhilyad/deployy. It costs 18 tokens per session (4,189 once invoked), scanned A, a copy of agent-benchmark-suite, MIT.

An agent for measuring software performance with repeatable benchmarks. It covers speed, capacity, resource use, coordination, and failure handling.

In plain words
What is it for?
Use it to benchmark throughput, latency, scalability, resource usage, load balancing, coordination, and fault tolerance.
Why use it?
It helps detect performance regressions and compare changes against earlier results instead of relying on guesswork.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: installed under .agents/ (shared by several agents); $skill-name invocation.

Part of the hyrex plugin — 132 skills, 54 commands, 7 agents, 4 hooks shipped together

Good fit Use it to benchmark throughput, latency, scalability, resource usage, load balancing, coordination, and fault tolerance.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/akhilyad/deployy/agent-benchmark-suite
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.

Any agent
npx skills add akhilyad/deployy --skill agent-benchmark-suite
Clone the repo
git clone --depth 1 https://github.com/akhilyad/deployy

Made for: Claude Code.

Or install hyrex, the plugin that ships this one along with the rest of its 132 skills, 54 commands, 7 agents, 4 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 agent-benchmark-suite

README.md
[![agentmods](https://agentmods.dev/badge/skills/akhilyad/deployy/agent-benchmark-suite/github.svg)](https://agentmods.dev/skills/akhilyad/deployy/agent-benchmark-suite)
Your own site
<a href="https://agentmods.dev/skills/akhilyad/deployy/agent-benchmark-suite"><img src="https://agentmods.dev/badge/skills/akhilyad/deployy/agent-benchmark-suite/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for agent-benchmark-suite

Your own site · 80×15
<a href="https://agentmods.dev/skills/akhilyad/deployy/agent-benchmark-suite"><img src="https://agentmods.dev/badge/skills/akhilyad/deployy/agent-benchmark-suite.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,189 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 100% copy Near-identical to another mod 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 $0.00018 $0.04189
Opus 5.5 $0.00007 $0.01676
Sonnet 5.5 $0.00004 $0.00838
Haiku 4.5 $0.00002 $0.00419

Measured 18d ago against content hash f72d43c79a1e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agent-benchmark-suite 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 18d 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

This is a copy

100% identical to agent-benchmark-suite — 16 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/agent-benchmark-suite/SKILL.md · 670 lines

How it starts

The opening of the file, as written. The whole thing — 670 lines — stays where its author put it; the contents beside it link to each section on GitHub.


name: Benchmark Suite type: agent category: optimization description: Comprehensive performance benchmarking, regression detection and performance validation

Benchmark Suite Agent

Agent Profile

  • Name: Benchmark Suite
  • Type: Performance Optimization Agent
  • Specialization: Comprehensive performance benchmarking and testing
  • Performance Focus: Automated benchmarking, regression detection, and performance validation

Core Capabilities

1. Comprehensive Benchmarking Framework

// Advanced benchmarking system
class ComprehensiveBenchmarkSuite {
  constructor() {
    this.benchmarks = {
      // Core performance benchmarks
      throughput: new ThroughputBenchmark(),
      latency: new LatencyBenchmark(),
      scalability: new ScalabilityBenchmark(),
      resource_usage: new ResourceUsageBenchmark(),
      
      // Swarm-specific benchmarks
      coordination: new CoordinationBenchmark(),
      load_balancing: new LoadBalancingBenchmark(),
      topology: new TopologyBenchmark(),
      fault_tolerance: new FaultToleranceBenchmark(),
      
      // Custom benchmarks
      custom: new CustomBenchmarkManager()
    };
    
    this.reporter = new BenchmarkReporter();
    this.comparator = new PerformanceComparator();
    this.analyzer = new BenchmarkAnalyzer();
  }
  
  // Execute comprehensive benchmark suite
  async runBenchmarkSuite(config = {}) {
    const suiteConfig = {
      duration: config.duration || 300000, // 5 minutes default
      iterations: config.iterations || 10,
      warmupTime: config.warmupTime || 30000, // 30 seconds
      cooldownTime: config.cooldownTime || 10000, // 10 seconds
      parallel: config.parallel || false,
      baseline: config.baseline || null
    };
    
    const results = {
      summary: {},
      detailed: new Map(),
      baseline_comparison: null,
      recommendations: []
    };
    
    // Warmup phase
    await this.warmup(suiteConfig.warmupTime);
    
    // Execute benchmarks
    if (suiteConfig.parallel) {
      results.detailed = await this.runBenchmarksParallel(suiteConfig);
    } else {
      results.detailed = await this.runBenchmarksSequential(suiteConfig);
    }
    
    // Generate summary
    results.summary = this.generateSummary(results.detailed);
    
    // Compare with baseline if provided
    if (suiteConfig.baseline) {
      results.baseline_comparison = await this.compareWithBaseline(
        results.detailed, 
        suiteConfig.baseline
      );
    }
    
    // Generate recommendations
    results.recommendations = await this.generateRecommendations(results);
    
    // Cooldown phase
    await this.cooldown(suiteConfig.cooldownTime);
    
    return results;
  }
  
  // Parallel benchmark execution
  async runBenchmarksParallel(config) {
    const benchmarkPromises = Object.entries(this.benchmarks).map(
      async ([name, benchmark]) => {
        const result = await this.executeBenchmark(benchmark, name, config);
        return [name, result];
      }
    );
    
    const results = await Promise.all(benchmarkPromises);
    return new Map(results);
  }
  
  // Sequential benchmark execution
  async runBenchmarksSequential(config) {
    const results = new Map();
    
    for (const [name, benchmark] of Object.entries(this.benchmarks)) {
      const result = await this.executeBenchmark(benchmark, name, config);
      results.set(name, result);
      
      // Brief pause between benchmarks
      await this.sleep(1000);
    }
    
    return results;
  }
}

Read the full file on GitHub · 670 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. 18d ago First seen · 670 lines · 18 tokens per session scan A f72d43c79a1e

Subscribe to this mod's changes

agent-benchmark-suite is a skill published in the GitHub repository akhilyad/deployy (0 stars, last pushed 5mo ago), licensed MIT. It adds 18 tokens to every session and 4,189 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to agent-benchmark-suite, differing in 16 lines, and is treated as a copy.

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