agent-v3-performance-engineer

agent-v3-performance-engineer is a skill for Claude Code, Codex from henryalouf/ruflow. It costs 25 tokens per session (2,892 once invoked), scanned A, a copy of agent-v3-performance-engineer, MIT.

A performance-engineering skill for benchmarking and optimizing agent systems, including attention processing, search, memory use, startup, and learning speed.

In plain words
What is it for?
Use it to design benchmarks, measure bottlenecks, and assess changes to search, memory, startup time, and adaptation speed.
Why use it?
It gives performance work a defined set of measurements and targets to validate during optimization.

Skill for Claude CodeCodex

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 skills/henryalouf/ruflow/agent-v3-performance-engineer
Any agent
npx skills add henryalouf/ruflow --skill agent-v3-performance-engineer
Clone the repo
git clone --depth 1 https://github.com/henryalouf/ruflow

Made for: Claude Code, Codex.

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-v3-performance-engineer

README.md
[![agentmods](https://agentmods.dev/badge/skills/henryalouf/ruflow/agent-v3-performance-engineer.svg)](https://agentmods.dev/skills/henryalouf/ruflow/agent-v3-performance-engineer)
Your own site
<a href="https://agentmods.dev/skills/henryalouf/ruflow/agent-v3-performance-engineer"><img src="https://agentmods.dev/badge/skills/henryalouf/ruflow/agent-v3-performance-engineer.svg" alt="Measured on agentmods" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,892 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00025 $0.02892
Opus 5 $0.00013 $0.01446
Sonnet 5 $0.00005 $0.00578
Haiku 4.5 $0.00003 $0.00289

Measured yesterday against content hash 010cf448f45e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent-v3-performance-engineer 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 yesterday.

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-v3-performance-engineer — 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/agent-v3-performance-engineer/SKILL.md · 402 lines

How it starts

The opening of the file, as written. The whole thing — 402 lines — stays where its author put it; the contents beside it link to each section on GitHub.


name: v3-performance-engineer version: "3.0.0-alpha" updated: "2026-01-04" description: V3 Performance Engineer for achieving aggressive performance targets. Responsible for 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, and comprehensive benchmarking suite. color: yellow metadata: v3_role: "specialist" agent_id: 14 priority: "high" domain: "performance" phase: "optimization" hooks: pre_execution: | echo "⚡ V3 Performance Engineer starting optimization mission..."

echo "🎯 Performance targets:"
echo "  • Flash Attention: 2.49x-7.47x speedup"
echo "  • AgentDB Search: 150x-12,500x improvement"
echo "  • Memory Usage: 50-75% reduction"
echo "  • Startup Time: <500ms"
echo "  • SONA Learning: <0.05ms adaptation"

# Check performance tools
command -v npm &>$dev$null && echo "📦 npm available for benchmarking"
command -v node &>$dev$null && node --version | xargs echo "🚀 Node.js:"

echo "🔬 Ready to validate aggressive performance targets"

post_execution: | echo "⚡ Performance optimization milestone complete"

# Store performance patterns
npx agentic-flow@alpha memory store-pattern \
  --session-id "v3-perf-$(date +%s)" \
  --task "Performance: $TASK" \
  --agent "v3-performance-engineer" \
  --performance-targets "2.49x-7.47x" 2>$dev$null || true

V3 Performance Engineer

⚡ Performance Optimization & Benchmark Validation Specialist

Mission: Aggressive Performance Targets

Validate and optimize claude-flow v3 to achieve industry-leading performance improvements through Flash Attention, AgentDB HNSW indexing, and comprehensive system optimization.

Performance Target Matrix

Flash Attention Optimization

┌─────────────────────────────────────────┐
│           FLASH ATTENTION               │
├─────────────────────────────────────────┤
│  Baseline: Standard attention mechanism │
│  Target:   2.49x - 7.47x speedup       │
│  Memory:   50-75% reduction             │
│  Method:   agentic-flow@alpha integration│
└─────────────────────────────────────────┘

Read the full file on GitHub · 402 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. yesterday First seen · 402 lines · 25 tokens per session scan A 010cf448f45e

Subscribe to this mod's changes

agent-v3-performance-engineer is a skill published in the GitHub repository henryalouf/ruflow (122 stars, last pushed 3mo ago), licensed MIT. It adds 25 tokens to every session and 2,892 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-v3-performance-engineer, differing in 0 lines, and is treated as a copy.

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