V3 Performance Optimization

V3 Performance Optimization is a skill for Claude Code from ruvnet/agentic-flow. It costs 53 tokens per session (2,438 once invoked), scanned A, original, no licence file.

A performance-optimization skill for the third version of a system, with benchmarks for attention processing, search, and memory use.

In plain words
What is it for?
It is for benchmarking and improving search performance, processing speed, and memory consumption.
Why use it?
It helps identify whether implementation changes meet stated speed and memory targets.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit It is for benchmarking and improving search performance, processing speed, and memory…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ruvnet/agentic-flow/v3-performance-optimization
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 ruvnet/agentic-flow --skill v3-performance-optimization
Clone the repo
git clone --depth 1 https://github.com/ruvnet/agentic-flow

Made for: Claude Code.

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 V3 Performance Optimization

README.md
[![agentmods](https://agentmods.dev/badge/skills/ruvnet/agentic-flow/v3-performance-optimization.svg)](https://agentmods.dev/skills/ruvnet/agentic-flow/v3-performance-optimization)
Your own site
<a href="https://agentmods.dev/skills/ruvnet/agentic-flow/v3-performance-optimization"><img src="https://agentmods.dev/badge/skills/ruvnet/agentic-flow/v3-performance-optimization.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,438 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 unknown 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 $0.00053 $0.02438
Opus 5 $0.00026 $0.01219
Sonnet 5 $0.00011 $0.00488
Haiku 4.5 $0.00005 $0.00244

Measured 3d ago against content hash 713bb740d811, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

V3 Performance Optimization 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 3d 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.

.claude/skills/v3-performance-optimization/SKILL.md · 409 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 3d ago First seen · 409 lines · 53 tokens per session scan A 713bb740d811

Subscribe to this mod's changes

V3 Performance Optimization is a skill published in the GitHub repository ruvnet/agentic-flow (801 stars, last pushed 1mo ago), with no licence file. It adds 53 tokens to every session and 2,438 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

google-agents-cli-workflow

This skill should be used when the user wants to "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code", "test an agent", "deploy an agent", "publish an agent", "monitor an agent", or needs the ADK (Agent Development Kit) development lifecycle and coding guidelines. Entrypoint for…

google/agents-cli · 126 tokens

google-agents-cli-publish

This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini Enterprise", "publish to Gemini Enterprise", or needs guidance on the agents-cli publish gemini-enterprise command. Also use when the user wants to "manage agents in Agent Registry"…

google/agents-cli · 141 tokens

weather

A skill to check weather in different countries.

google/adk-go · 11 tokens

cli-collaboration

Use when multiple CLI agents or assistants alternate on the same repository or explicit shared handoff workflow — especially with AGENTHANDOFF.md, side-by-side AGENTS.md/CLAUDE.md/GEMINI.md, dirty worktrees, ownership notes, red tests, resume/continue requests, or /cli-collaboration in Grok Build.

Spe1977/cli-collaboration · 74 tokens

deepschema

Create and manage DeepSchemas — rich file-level schemas with automatic validation and review generation.

Unsupervisedcom/deepwork · 20 tokens

create-agent

Creates a new LearningAgent with directory structure, core-knowledge.md, and Claude Code agent file. Guides the user through initial configuration.

Unsupervisedcom/deepwork · 30 tokens