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Agent skill

RuView Room Calibration

by ruvnet in ruvnet/RuView

“Run the ADR-151 per-room calibration pipeline — baseline → enroll → extract → train → a bank of small specialists (presence/posture/breathing/heartbeat/restlessness/anomaly).”

— description from SKILL.md by ruvnet
MITAuto-check passedData & Analytics

Install RuView Room Calibration

skills CLI
$ npx skills add ruvnet/RuView --skill calibrate-room -a claude-code

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

GitHub CLI
$ gh skill install ruvnet/RuView calibrate-room --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/RuView.git skills-src && mkdir -p .claude/skills && cp -r skills-src/harness/ruview/.claude/skills/calibrate-room .claude/skills/calibrate-room && 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
calibrate-room
GitHub stars
97k
Token cost
~320 tokens
SKILL.md length
126 words
Files
1
Skills in repo
24
Repo updated
First seen
Licence
MIT

At a glance

  • Works in 4 steps: baseline — capture the empty room… → enroll — record the occupant(s) doing… → train-room — train the bank of small… → …
  • SKILL.md covers Sequence and Honesty
  • Calls cargo

About this skill

RuView Room Calibration is a skill in ruvnet/RuView (97k stars). Its SKILL.md is about 320 tokens. Licence: MIT.

Workflow steps

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

  1. baseline — capture the empty room (Welford amplitude + von Mises phase). Leave
  2. enroll — record the occupant(s) doing the target activities.
  3. train-room — train the bank of small specialists from baseline + enrollment.
  4. room-watch — live presence/posture/breathing from the trained room.

What it can do on your machine

Read from SKILL.md and the folder at commit 0ef6b96. 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:

    • cargo

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

  • Network

    No URLs in SKILL.md.

    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

RuView Room Calibration loads about 320 tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 126 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
When it runs · the whole SKILL.md, loaded when a task matches
~320

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/RuView at commit 0ef6b96, republished under its MIT licence (© ruvnet). 126 words, ~320 tokens.

Download SKILL.mdSave it as .claude/skills/calibrate-room/SKILL.md (or your agent's skills folder).
name
calibrate-room
description
Run the ADR-151 per-room calibration pipeline — baseline → enroll → extract → train → a bank of small specialists (presence/posture/breathing/heartbeat/restlessness/anomaly).

calibrate-room

Turn a provisioned node + sensing-server into a working room model. Pure-Rust, edge-deployable (ADR-151). Use the ruview_calibrate tool (installed wifi-densepose binary, else cargo run -p wifi-densepose-cli).

Sequence

  1. baseline — capture the empty room (Welford amplitude + von Mises phase). Leave the room empty. ruview_calibrate {step: "baseline"}
  2. enroll — record the occupant(s) doing the target activities. ruview_calibrate {step: "enroll"}
  3. train-room — train the bank of small specialists from baseline + enrollment. ruview_calibrate {step: "train-room"}
  4. room-watch — live presence/posture/breathing from the trained room. ruview_calibrate {step: "room-watch"} (or the room-watch skill)

Honesty

The specialists are calibrated to this room; cross-room transfer is a separate problem (LoRA recalibration, ADR-079 P9). Report which room a number came from, and tag presence/vitals accuracy MEASURED only with a held-out check — run ruview_claim_check on the writeup.

© 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 harness/ruview/.claude/skills/calibrate-room of ruvnet/RuView.

Open the folder on GitHubat commit 0ef6b96

Compare with similar skills

RuView Room Calibration 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.

RuView Room Calibration compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
RuView Room Calibration this skillruvnet/RuView97k—~320Automated safety check: PassMIT
Embedded DebuggerAdancurusul/embedded-debugger-mcp202—~1.4kAutomated safety check: PassMIT
Esp32 Developmentmagnus919/agent-skills115—~2.3kAutomated safety check: PassMIT
Xybrid Initxybrid-ai/xybrid469—~3kAutomated safety check: PassApache-2.0
Gtars Genomic Interval Toolkitdavila7/claude-code-templates33k11 repos~1.9kAutomated safety check: PassMIT
Tracking Model Versionsjeremylongshore/tons-of-skills-marketplace2.8k—~1.3kAutomated safety check: PassMIT

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More from ruvnet/RuView

All 24 skills in this repo

  • RuView Advanced Sensing

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  • RuView Deployment Configuration

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    Tunes a deployed RuView WiFi-sensing system without changing code: firmware sdkconfig variants, NVS provisioning over serial, channel and MAC filtering, edge processing tiers and mesh slotting.

    97k GitHub stars~1.7k tokensUpdated today
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  • Agent-Browser Automation

    ruvnet/RuView

    Drives a web browser through the agent-browser CLI, using compact accessibility snapshots with element refs in place of the full DOM to keep context small.

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  • RuView Hardware Setup

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    Brings a RuView CSI sensing node online by building ESP32-S3 or ESP32-C6 firmware, flashing the board, provisioning WiFi and checking the serial output.

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Works with

Categories

Questions about RuView Room Calibration

How do I install RuView Room Calibration in Claude Code?

Run `npx skills add ruvnet/RuView --skill calibrate-room -a claude-code`. Or copy the skill folder (harness/ruview/.claude/skills/calibrate-room in ruvnet/RuView) into .claude/skills/calibrate-room in your project. Claude Code loads it when a task matches its description.

How do I install RuView Room Calibration in Codex?

Run `npx skills add ruvnet/RuView --skill calibrate-room -a codex`. Or copy the skill folder (harness/ruview/.claude/skills/calibrate-room in ruvnet/RuView) into .agents/skills/calibrate-room in your project. Codex loads it when a task matches its description.

Can I use RuView Room Calibration 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/RuView --skill calibrate-room -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/calibrate-room, .gemini/skills/calibrate-room, .github/skills/calibrate-room and .opencode/skills/calibrate-room in your project.

What does RuView Room Calibration need to run?

Going by SKILL.md and its folder, RuView Room Calibration needs the command-line tools its instructions call (cargo).

Does RuView Room Calibration access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is RuView Room Calibration 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 RuView Room Calibration use?

RuView Room Calibration 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 RuView Room Calibration use?

About 320 tokens (SKILL.md is roughly 1.3k 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 RuView Room Calibration?

Skills that share tags, products or a category with RuView Room Calibration: Embedded Debugger (Adancurusul/embedded-debugger-mcp, 202 stars), Esp32 Development (magnus919/agent-skills, 115 stars), Xybrid Init (xybrid-ai/xybrid, 469 stars) and Gtars Genomic Interval Toolkit (davila7/claude-code-templates, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains RuView Room Calibration?

ruvnet (a GitHub user) maintains it in ruvnet/RuView, which has 97,082 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 10, 2026.

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