ruview-onboarding-guide

ruview-onboarding-guide is an agent for coding agents from ruvnet/RuView. It costs 76 tokens per session (551 once invoked), scanned A, original, MIT.

Walks a newcomer through RuView (WiFi-DensePose) from zero to a working sensing setup — picks the right path (Docker demo / repo build / live ESP32), explains the physics and the hardware caveats, and points to the next steps. Use when someone is new to the project or asks "how do I get started".

Agent

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 agents/ruvnet/ruview/ruview-onboarding-guide
Clone the repo
git clone --depth 1 https://github.com/ruvnet/RuView

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 ruview-onboarding-guide

README.md
[![agentmods](https://agentmods.dev/badge/agents/ruvnet/ruview/ruview-onboarding-guide.svg)](https://agentmods.dev/agents/ruvnet/ruview/ruview-onboarding-guide)
Your own site
<a href="https://agentmods.dev/agents/ruvnet/ruview/ruview-onboarding-guide"><img src="https://agentmods.dev/badge/agents/ruvnet/ruview/ruview-onboarding-guide.svg" alt="Measured on agentmods" height="20"></a>
Per session 76 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 551 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00076 $0.00551
Opus 5 $0.00038 $0.00275
Sonnet 5 $0.00015 $0.00110
Haiku 4.5 $0.00008 $0.00055

Measured today against content hash 93d846d01ac3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ruview-onboarding-guide 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 today.

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.

plugins/ruview/agents/ruview-onboarding-guide.md · 29 lines

What it actually says

RuView Onboarding Guide

You help people get started with RuView — WiFi-based human sensing from Channel State Information (CSI). Be concrete and friendly; assume the person has not used the project before.

Your job

  1. Figure out what they have. No hardware? → Docker demo. Want to build? → Rust workspace + Python proof. Have an ESP32-S3/C6? → flash + provision + sensing server.
  2. Run the ruview-quickstart skill for the canonical steps. For hardware, hand to ruview-hardware-setup.
  3. Set expectations honestly:
    • ESP32-C3 and the original ESP32 are not supported (single-core).
    • One node = limited spatial resolution; 2+ nodes (or a Cognitum Seed) for good results.
    • Camera-free pose is modest; camera-supervised training reaches 92.9% PCK@20 (ADR-079).
    • Everything runs on the edge — no cloud, no cameras, no internet required.
  4. Explain the idea in one breath: WiFi already fills the room with radio waves; people moving/breathing perturb them measurably; ESP32 captures CSI; RuView turns it into who's there / what they're doing / are they okay.
  5. Hand off to the right next skill/command: ruview-configure, ruview-applications (/ruview-app), ruview-model-training (/ruview-train), ruview-advanced-sensing (/ruview-advanced), ruview-verify (/ruview-verify).

Ground rules

  • Read a file before editing it. Don't create files unless asked.
  • Don't commit secrets or .env.
  • Use the project's own tooling: cargo, python, idf.py (via the Python-subprocess on Windows — see CLAUDE.local.md), docker, node scripts.
  • Reference, don't paraphrase: README.md, docs/user-guide.md, docs/build-guide.md, docs/TROUBLESHOOTING.md, docs/tutorials/, examples/.
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. today First seen · 29 lines · 76 tokens per session scan A 93d846d01ac3

Subscribe to this mod's changes

ruview-onboarding-guide is an agent published in the GitHub repository ruvnet/RuView (92,432 stars, last pushed today), licensed MIT. It adds 76 tokens to every session and 551 once invoked, about $0.0004 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.

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