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Agent skill

Vector Setup

by ruvnet in ruvnet/ruflo

First-run setup for ruvector@0.2.25 — installs ONNX/Brain/SONA add-ons, registers the MCP server, and verifies the install via doctor

MITAuto-check: notesAgent Workflows

Install Vector Setup

skills CLI
$ npx skills add ruvnet/ruflo --skill vector-setup -a claude-code

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

GitHub CLI
$ gh skill install ruvnet/ruflo vector-setup --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/plugins/ruflo-ruvector/skills/vector-setup .claude/skills/vector-setup && 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
vector-setup
GitHub stars
74k
Token cost
~721 tokens
SKILL.md length
224 words
Files
1
Skills in repo
264
Repo updated
First seen
Licence
MIT

At a glance

First-run setup for ruvector@0.2.25 — installs ONNX/Brain/SONA add-ons, registers the MCP server, and verifies the install via doctor

  • Works in 6 steps: Pin ruvector → Install the add-ons (idempotent — only… → Verify the binary → …
  • Agent Workflows work in your project
  • SKILL.md covers Why this exists, Steps, Smoke test and What this does not install
  • Calls npx, npm and claude

What it does

Vector Setup is an agent skill from ruvnet/ruflo. First-run setup for ruvector@0.2.25 — installs ONNX/Brain/SONA add-ons, registers the MCP server, and verifies the install via doctor

Its SKILL.md is about 720 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 Agent Workflows. It works with ONNX and Model Context Protocol. 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

  • Agent Workflows work in your project

Example prompts

  • “/vector-setup”

Requirements

  • Node.js
  • Pre-approved tools (allowed-tools): Bash, Read

Workflow steps

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

  1. Pin ruvector
  2. Install the add-ons (idempotent — only what's missing)
  3. Verify the binary
  4. Register the MCP server
  5. Sanity check the most common subcommands
  6. (Optional) Generate a pi identity for brain + edge

What it can do on your machine

Read from SKILL.md and the folder at commit de590e1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx
    • npm
    • claude
    • bash

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

  • Network

    No URLs in SKILL.md. Its commands use npx and npm, 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

Vector Setup loads about 721 tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 224 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~721

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read

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 de590e1, republished under its MIT licence (© ruvnet). 224 words, ~721 tokens.

Download SKILL.mdSave it as .claude/skills/vector-setup/SKILL.md (or your agent's skills folder).
name
vector-setup
description
First-run setup for ruvector@0.2.25 — installs ONNX/Brain/SONA add-ons, registers the MCP server, and verifies the install via `doctor`
allowed-tools
Bash, Read
argument-hint
[--full]

Vector Setup

Bootstraps ruvector@0.2.25 and its optional add-ons so every /vector subcommand actually works on first run.

Why this exists

Out of the box, several /vector subcommands fail with a confusing dep error:

ErrorMissing package
ONNX WASM files not bundled. The onnx/ directory is missing.ruvector-onnx-embeddings-wasm
Brain commands require @ruvector/pi-brain@ruvector/pi-brain
SONA not available. Native error: Cannot find module '/.../@ruvector/sona/index.js'@ruvector/ruvllm (JS fallback)
LLM commands require @ruvector/ruvllm@ruvector/ruvllm

This skill installs them in one pass.

Steps

  1. Pin ruvector:
    bash
    npm install ruvector@0.2.25
  2. Install the add-ons (idempotent — only what's missing):
    bash
    npm install ruvector-onnx-embeddings-wasm \
            @ruvector/pi-brain \
            @ruvector/ruvllm
    For a leaner install, pass --full to also pull @ruvector/graph-node and @ruvector/router:
    bash
    npm install ruvector-onnx-embeddings-wasm \
            @ruvector/pi-brain \
            @ruvector/ruvllm \
            @ruvector/graph-node \
            @ruvector/router
  3. Verify the binary:
    bash
    npx -y ruvector@0.2.25 doctor
npx -y ruvector@0.2.25 info
  4. Register the MCP server:
    bash
    claude mcp add ruvector -- npx -y ruvector@0.2.25 mcp start
claude mcp list | grep ruvector
  5. Sanity check the most common subcommands:
    bash
    npx -y ruvector@0.2.25 hooks route "test"
npx -y ruvector@0.2.25 attention list
npx -y ruvector@0.2.25 rvf examples
  6. (Optional) Generate a pi identity for brain + edge:
    bash
    npx -y ruvector@0.2.25 identity generate
npx -y ruvector@0.2.25 identity show

Smoke test

For a deterministic verification of the install, run the plugin's bundled smoke script:

bash
bash plugins/ruflo-ruvector/scripts/smoke.sh

It checks: version pin, top-level subcommand visibility, hooks ast-analyze, hooks route, attention list, rvf examples, and info. Exits non-zero if any drift from the contracted surface is detected.

What this does not install

  • Native Rust toolchain (optional; only needed for source builds)
  • Platform-specific native bindings (auto-detected by @ruvector/core)
  • @ruvector/sona native binding (the JS fallback via @ruvector/ruvllm is sufficient on macOS arm64; Linux x64 has its own native binding)

If doctor still reports a problem after this skill runs, paste its output verbatim and ask.

© 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 plugins/ruflo-ruvector/skills/vector-setup of ruvnet/ruflo.

Open the folder on GitHubat commit de590e1

Compare with similar skills

Vector Setup 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.

Vector Setup compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Vector Setup this skillruvnet/ruflo74k—~721Automated safety check: NotesMIT
VeraVeraTools/vera118—~1.2kAutomated safety check: PassMIT
VeraVeraTools/vera118—~825Automated safety check: PassMIT
MCP Server Builderanthropics/skills180k62 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k5 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official37k11 repos~3.1kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Vector Setup

What does Vector Setup do?

First-run setup for ruvector@0.2.25 — installs ONNX/Brain/SONA add-ons, registers the MCP server, and verifies the install via doctor. Vector Setup is an agent skill from ruvnet/ruflo.

When should I use Vector Setup?

Vector Setup fits situations like: agent Workflows work in your project.

How do I install Vector Setup in Claude Code?

Run `npx skills add ruvnet/ruflo --skill vector-setup -a claude-code`. Or copy the skill folder (plugins/ruflo-ruvector/skills/vector-setup in ruvnet/ruflo) into .claude/skills/vector-setup in your project. Claude Code loads it when a task matches its description.

How do I install Vector Setup in Codex?

Run `npx skills add ruvnet/ruflo --skill vector-setup -a codex`. Or copy the skill folder (plugins/ruflo-ruvector/skills/vector-setup in ruvnet/ruflo) into .agents/skills/vector-setup in your project. Codex loads it when a task matches its description.

Can I use Vector Setup 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 vector-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vector-setup, .gemini/skills/vector-setup, .github/skills/vector-setup and .opencode/skills/vector-setup in your project.

What does Vector Setup need to run?

Going by SKILL.md and its folder, Vector Setup needs the command-line tools its instructions call (npx, npm, claude and bash). Our summary lists: Node.js. Its frontmatter pre-approves these tools: Bash, Read.

Does Vector Setup access the network?

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

Is Vector Setup safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Vector Setup use?

Vector Setup 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 Vector Setup use?

About 721 tokens (SKILL.md is roughly 2.9k 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 Vector Setup?

Skills that share tags, products or a category with Vector Setup: Vera (VeraTools/vera, 118 stars), Vera (VeraTools/vera, 118 stars), MCP Server Builder (anthropics/skills, 180k stars) and MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vector Setup?

ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,012 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 7, 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.