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.
npx skills add akhilyad/deployy --skill performance-analysisgit clone --depth 1 https://github.com/akhilyad/deployyWrote 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.
[](https://agentmods.dev/skills/akhilyad/deployy/performance-analysis)<a href="https://agentmods.dev/skills/akhilyad/deployy/performance-analysis"><img src="https://agentmods.dev/badge/skills/akhilyad/deployy/performance-analysis/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.
<a href="https://agentmods.dev/skills/akhilyad/deployy/performance-analysis"><img src="https://agentmods.dev/badge/skills/akhilyad/deployy/performance-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00020 | $0.03485 |
| Opus 5.5 | $0.00008 | $0.01394 |
| Sonnet 5.5 | $0.00004 | $0.00697 |
| Haiku 4.5 | $0.00002 | $0.00348 |
Grade A, and why
performance-analysis 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 16d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
const { exec } = require('child_process'); This is a copy
91% identical to performance-analysis — 74 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.
How it starts
The opening of the file, as written. The whole thing — 564 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performance Analysis Skill
Comprehensive performance analysis suite for identifying bottlenecks, profiling swarm operations, generating detailed reports, and providing actionable optimization recommendations.
Overview
This skill consolidates all performance analysis capabilities:
- Bottleneck Detection: Identify performance bottlenecks across communication, processing, memory, and network
- Performance Profiling: Real-time monitoring and historical analysis of swarm operations
- Report Generation: Create comprehensive performance reports in multiple formats
- Optimization Recommendations: AI-powered suggestions for improving performance
Quick Start
Basic Bottleneck Detection
npx hyrex bottleneck detect
Generate Performance Report
npx hyrex analysis performance-report --format html --include-metrics
Analyze and Auto-Fix
npx hyrex bottleneck detect --fix --threshold 15
Core Capabilities
1. Bottleneck Detection
Command Syntax
npx hyrex bottleneck detect [options]
Options
--swarm-id, -s <id>- Analyze specific swarm (default: current)--time-range, -t <range>- Analysis period: 1h, 24h, 7d, all (default: 1h)--threshold <percent>- Bottleneck threshold percentage (default: 20)--export, -e <file>- Export analysis to file--fix- Apply automatic optimizations
Usage Examples
# Basic detection for current swarm
npx hyrex bottleneck detect
# Analyze specific swarm over 24 hours
npx hyrex bottleneck detect --swarm-id swarm-123 -t 24h
# Export detailed analysis
npx hyrex bottleneck detect -t 24h -e bottlenecks.json
# Auto-fix detected issues
npx hyrex bottleneck detect --fix --threshold 15
# Low threshold for sensitive detection
npx hyrex bottleneck detect --threshold 10 --export critical-issues.json
Metrics Analyzed
Communication Bottlenecks:
- Message queue delays
- Agent response times
- Coordination overhead
- Memory access patterns
- Inter-agent communication latency
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.
- 16d ago First seen · 564 lines · 20 tokens per session scan A a9fc779dcb86
performance-analysis is a skill published in the GitHub repository akhilyad/deployy (0 stars, last pushed 5mo ago), licensed MIT. It adds 20 tokens to every session and 3,485 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). It is 91% identical to performance-analysis, differing in 74 lines, and is treated as a copy.
Other skills, from other repositories
performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms.
performance-analysis
Performance analysis, bottleneck detection, and optimization recommendations. Use when profiling slow code or systems, hunting a performance regression, or producing an optimization plan with measurable targets.
performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms.
performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms.
performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms.
performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms.