Agent skill

Performance Analysis

by ruvnet in ruvnet/ruflo

Performance profiling, benchmarking, and optimization. An agent skill from ruvnet/ruflo.

MITAuto-check passedDevelopment

Install Performance Analysis

skills CLI
$ npx skills add ruvnet/ruflo --skill performance-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ruvnet/ruflo performance-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/v3/@claude-flow/codex/.agents/skills/performance-analysis .claude/skills/performance-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
performance-analysis
GitHub stars
74k
Token cost
~192 tokens
SKILL.md length
47 words
Files
1
Skills in repo
264
Repo updated
First seen
Licence
MIT

At a glance

Performance profiling, benchmarking, and optimization. An agent skill from ruvnet/ruflo.

  • Works in 4 steps: Capture a baseline before changing code → Use identical inputs and environments → Report variance, not only the fastest… → …
  • : slow operations
  • SKILL.md covers Purpose, Commands and Best Practices
  • Calls npx

What it does

Performance Analysis is an agent skill from ruvnet/ruflo. Performance profiling, benchmarking, and optimization. Use when: slow operations, regressions, memory pressure, release validation. Skip when: early prototyping, documentation, configuration-only changes.

Its SKILL.md is about 190 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Prototyping. The repository describes itself as: 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory…. The licence is MIT.

When your agent uses it

  • : slow operations
  • Memory pressure
  • Release validation

Example prompts

  • “/performance-analysis”

Requirements

  • Node.js

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Capture a baseline before changing code
  2. Use identical inputs and environments
  3. Report variance, not only the fastest result
  4. Re-run correctness tests after optimization

What it can do on your machine

Read from SKILL.md and the folder at commit 6051f67. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Performance Analysis loads about 192 tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 47 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~192

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ruvnet/ruflo at commit 6051f67, republished under its MIT licence (© ruvnet). 47 words, ~192 tokens.

Download SKILL.mdSave it as .claude/skills/performance-analysis/SKILL.md (or your agent's skills folder).
name
performance-analysis
description
Performance profiling, benchmarking, and optimization. Use when: slow operations, regressions, memory pressure, release validation. Skip when: early prototyping, documentation, configuration-only changes.

Performance Analysis Skill

Purpose

Measure before optimizing and preserve reproducible benchmark evidence.

Commands

Run Benchmark Suite
bash
npx @claude-flow/cli performance benchmark --suite all
Profile Code
bash
npx @claude-flow/cli performance profile --target ./src

Best Practices

  1. Capture a baseline before changing code
  2. Use identical inputs and environments
  3. Report variance, not only the fastest result
  4. Re-run correctness tests after optimization

© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in v3/@claude-flow/codex/.agents/skills/performance-analysis of ruvnet/ruflo.

Open the folder on GitHubat commit 6051f67

Compare with similar skills

Performance Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Performance Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Performance Analysis this skillruvnet/ruflo74k—~192Automated safety check: PassMIT
Native Feel Cross Platform Desktopyetone/native-feel-skill1.9k1 repos~1.5kAutomated safety check: PassMIT
Compound Engineering PrototypeEveryInc/compound-engineering-plugin25k—~1.9kAutomated safety check: PassMIT
Collaborating With CodexGuDaStudio/collaborating-with-codex1321 repos~712Automated safety check: PassMIT
Digikeyaklofas/kicad-happy1.4k1 repos~4.5kAutomated safety check: PassMIT
Collaborating With Antigravityappautomaton/agent-designer1311 repos~2.4kAutomated safety check: PassNone

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Categories

Questions about Performance Analysis

What does Performance Analysis do?

Performance profiling, benchmarking, and optimization. An agent skill from ruvnet/ruflo. Performance Analysis is an agent skill from ruvnet/ruflo. Performance profiling, benchmarking, and optimization.

When should I use Performance Analysis?

Performance Analysis fits situations like: : slow operations; memory pressure; release validation.

How do I install Performance Analysis in Claude Code?

Run `npx skills add ruvnet/ruflo --skill performance-analysis -a claude-code`. Or copy the skill folder (v3/@claude-flow/codex/.agents/skills/performance-analysis in ruvnet/ruflo) into .claude/skills/performance-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Performance Analysis in Codex?

Run `npx skills add ruvnet/ruflo --skill performance-analysis -a codex`. Or copy the skill folder (v3/@claude-flow/codex/.agents/skills/performance-analysis in ruvnet/ruflo) into .agents/skills/performance-analysis in your project. Codex loads it when a task matches its description.

Can I use Performance Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/ruflo --skill performance-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/performance-analysis, .gemini/skills/performance-analysis, .github/skills/performance-analysis and .opencode/skills/performance-analysis in your project.

What does Performance Analysis need to run?

Going by SKILL.md and its folder, Performance Analysis needs the command-line tools its instructions call (npx). Our summary lists: Node.js.

Does Performance Analysis access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Performance Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Performance Analysis use?

Performance Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Performance Analysis use?

About 192 tokens (SKILL.md is roughly 768 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Performance Analysis?

Skills that share tags, products or a category with Performance Analysis: Native Feel Cross Platform Desktop (yetone/native-feel-skill, 1.9k stars), Compound Engineering Prototype (EveryInc/compound-engineering-plugin, 25k stars), Collaborating With Codex (GuDaStudio/collaborating-with-codex, 132 stars) and Digikey (aklofas/kicad-happy, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Performance Analysis?

ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,089 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 8, 2026.

Source: ruvnet/ruflo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.