RuView is a WiFi sensing platform that uses disturbances in radio signals, captured by low-cost ESP32 sensors, to detect presence, movement, breathing, and heart rate without cameras or wearables. It is intended for spatial monitoring and smart-home integrations. The catalogue add-ons support workflows for operating and integrating RuView.
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.
npx skills add ruvnet/RuView --skill ruview-cli-apigit clone --depth 1 https://github.com/ruvnet/RuViewWrote 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.
[](https://agentmods.dev/skills/ruvnet/ruview/ruview-cli-api)<a href="https://agentmods.dev/skills/ruvnet/ruview/ruview-cli-api"><img src="https://agentmods.dev/badge/skills/ruvnet/ruview/ruview-cli-api/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ruvnet/ruview/ruview-cli-api"><img src="https://agentmods.dev/badge/skills/ruvnet/ruview/ruview-cli-api.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 47 Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.Fix: Pin the image: image:tag or image@sha256:abc123
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00104 | $0.01307 |
| Opus 5.5 | $0.00042 | $0.00523 |
| Sonnet 5.5 | $0.00021 | $0.00261 |
| Haiku 4.5 | $0.00010 | $0.00131 |
Grade A, and why
ruview-cli-api 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RuView CLI, API & WASM
The programmatic surfaces of RuView — the wifi-densepose binary, the HTTP API, and the WebAssembly builds.
1. The wifi-densepose CLI binary (wifi-densepose-cli)
cd v2
cargo run -p wifi-densepose-cli -- --help # or: cargo build -p wifi-densepose-cli --release → target/release/wifi-densepose
cargo run -p wifi-densepose-cli -- version
Top-level subcommands: version, and mat (Mass Casualty Assessment Tool).
wifi-densepose mat … — disaster survivor detection
| Subcommand | Purpose | Key flags |
|---|---|---|
mat scan [zone] |
Start scanning for survivors | --disaster-type <…>, --sensitivity 0.0–1.0, --max-depth <m>, --continuous, --interval <ms>, --simulate |
mat status |
Current scan status | --detailed, --format <…>, --watch |
mat zones … |
Manage scan zones | zones list [--active-only], plus add/remove/update |
mat survivors |
List detected survivors with triage status | |
mat alerts |
View / manage alerts | |
mat export |
Export scan data | JSON or CSV |
Example:
cargo run -p wifi-densepose-cli -- mat scan rubble-A --disaster-type earthquake --sensitivity 0.7 --max-depth 5 --continuous --interval 2000
cargo run -p wifi-densepose-cli -- mat survivors --format json
cargo run -p wifi-densepose-cli -- mat export --format csv > survivors.csv
Use --simulate for testing without hardware. Background and user guide: docs/wifi-mat-user-guide.md, wifi-densepose-mat crate.
2. REST API (wifi-densepose-api, Axum)
Library crate (v2/crates/wifi-densepose-api/src/lib.rs) — the Axum router/handlers; configured via the wifi-densepose-config crate. It's wired into the server binaries (e.g. the sensing server / Docker image), not a standalone cargo run target by itself.
# Easiest way to exercise it: the Docker image exposes the API + dashboard on :3000
docker run -p 3000:3000 ruvnet/wifi-densepose:latest
# Then hit the HTTP endpoints (see the API module / docs for routes) and open http://localhost:3000
# v1 Python service config reference: example.env, pyproject.toml (archive/v1/)
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.
- 1mo ago First seen · 83 lines · 104 tokens per session scan A 8d2a2d3908fa
ruview-cli-api is a skill published in the GitHub repository ruvnet/RuView (98,659 stars, last pushed yesterday), licensed MIT. It adds 104 tokens to every session and 1,307 once invoked, about $0.0004 per session on Opus 5.5. 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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