agent-performance-monitor

agent-performance-monitor is a skill for Claude Code from proffesor-for-testing/agentic-qe. It costs 16 tokens per session (4,172 once invoked), scanned A, a copy of agent-performance-monitor, MIT.

A monitoring assistant that collects performance measurements from systems, agents, coordination, tasks, and resource usage. It looks for bottlenecks, service-level agreement problems, and unusual behaviour.

In plain words
What is it for?
Use it to track performance, monitor agreed service targets, inspect resource use, analyse bottlenecks, and detect anomalies.
Why use it?
It helps reveal where work is slowing down or resources are being used unexpectedly, 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 claude-flow plugin — 134 skills, 46 commands, 11 agents, 4 hooks shipped together

Good fit Use it to track performance, monitor agreed service targets, inspect resource use, analyse bottlenecks, and detect anomalies.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/proffesor-for-testing/agentic-qe/agent-performance-monitor
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 proffesor-for-testing/agentic-qe --skill agent-performance-monitor
Clone the repo
git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe

Made for: Claude Code.

Or install claude-flow, the plugin that ships this one along with the rest of its 134 skills, 46 commands, 11 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-performance-monitor

README.md
[![agentmods](https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/agent-performance-monitor/github.svg)](https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/agent-performance-monitor)
Your own site
<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/agent-performance-monitor"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/agent-performance-monitor/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-performance-monitor

Your own site · 80×15
<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/agent-performance-monitor"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/agent-performance-monitor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,172 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 $0.00016 $0.04172
Opus 5 $0.00008 $0.02086
Sonnet 5 $0.00003 $0.00834
Haiku 4.5 $0.00002 $0.00417

Measured 11d ago against content hash 048ff1c21dc0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

agent-performance-monitor 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 11d 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-performance-monitor — 0 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/ruflo/.agents/skills/agent-performance-monitor/SKILL.md · 677 lines

How it starts

The opening of the file, as written. The whole thing — 677 lines — stays where its author put it; the contents beside it link to each section on GitHub.


name: Performance Monitor type: agent category: optimization description: Real-time metrics collection, bottleneck analysis, SLA monitoring and anomaly detection

Performance Monitor Agent

Agent Profile

  • Name: Performance Monitor
  • Type: Performance Optimization Agent
  • Specialization: Real-time metrics collection and bottleneck analysis
  • Performance Focus: SLA monitoring, resource tracking, and anomaly detection

Core Capabilities

1. Real-Time Metrics Collection

// Advanced metrics collection system
class MetricsCollector {
  constructor() {
    this.collectors = new Map();
    this.aggregators = new Map();
    this.streams = new Map();
    this.alertThresholds = new Map();
  }
  
  // Multi-dimensional metrics collection
  async collectMetrics() {
    const metrics = {
      // System metrics
      system: await this.collectSystemMetrics(),
      
      // Agent-specific metrics
      agents: await this.collectAgentMetrics(),
      
      // Swarm coordination metrics
      coordination: await this.collectCoordinationMetrics(),
      
      // Task execution metrics
      tasks: await this.collectTaskMetrics(),
      
      // Resource utilization metrics
      resources: await this.collectResourceMetrics(),
      
      // Network and communication metrics
      network: await this.collectNetworkMetrics()
    };
    
    // Real-time processing and analysis
    await this.processMetrics(metrics);
    return metrics;
  }
  
  // System-level metrics
  async collectSystemMetrics() {
    return {
      cpu: {
        usage: await this.getCPUUsage(),
        loadAverage: await this.getLoadAverage(),
        coreUtilization: await this.getCoreUtilization()
      },
      memory: {
        usage: await this.getMemoryUsage(),
        available: await this.getAvailableMemory(),
        pressure: await this.getMemoryPressure()
      },
      io: {
        diskUsage: await this.getDiskUsage(),
        diskIO: await this.getDiskIOStats(),
        networkIO: await this.getNetworkIOStats()
      },
      processes: {
        count: await this.getProcessCount(),
        threads: await this.getThreadCount(),
        handles: await this.getHandleCount()
      }
    };
  }
  
  // Agent performance metrics
  async collectAgentMetrics() {
    const agents = await mcp.agent_list({});
    const agentMetrics = new Map();
    
    for (const agent of agents) {
      const metrics = await mcp.agent_metrics({ agentId: agent.id });
      agentMetrics.set(agent.id, {
        ...metrics,
        efficiency: this.calculateEfficiency(metrics),
        responsiveness: this.calculateResponsiveness(metrics),
        reliability: this.calculateReliability(metrics)
      });
    }
    
    return agentMetrics;
  }
}

Read the full file on GitHub · 677 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. 11d ago First seen · 677 lines · 16 tokens per session scan A 048ff1c21dc0

Subscribe to this mod's changes

agent-performance-monitor is a skill published in the GitHub repository proffesor-for-testing/agentic-qe (475 stars, last pushed 3d ago), licensed MIT. It adds 16 tokens to every session and 4,172 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to agent-performance-monitor, differing in 0 lines, and is treated as a copy.

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