mirror of https://github.com/ruvnet/RuView synced 2026-08-01 19:01:42 +00:00

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rUv 4001e9e178 feat(harness): npx @ruvnet/ruview operator harness + ADR-182 (#1123 )

A host-portable RuView agent harness minted via MetaHarness and hardened
per ADR-182. Published as @ruvnet/ruview@0.1.0 (bare `ruview` blocked by
npm's typosquat filter → scoped fallback).

What it does:
- 6 fail-closed `ruview.*` tools (onboard, claim_check, verify,
  node_monitor, calibrate, node_flash) exposed as CLI verbs + a
  dependency-free MCP stdio server.
- The "prove everything" rule made executable: `ruview.claim_check`
  flags untagged accuracy claims and the retracted "100%" framing.
- 5 host-neutral skills (onboard/provision-node/calibrate-room/
  train-pose/verify) + bundled .claude/ config + provenance manifest.

Validated: 17/17 unit tests, live MCP handshake, `ruview.verify` ran the
real verify.py to VERDICT: PASS, clean `npx @ruvnet/ruview` from registry.
Packs to 16.7 kB / 21 files; kernel+host are optionalDependencies so the
operator tools install lightweight.

README: documented as the portable, multi-host companion to the in-repo
plugins/ruview/ Claude Code plugin (not a replacement).

2026-06-17 17:46:31 -04:00

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name, description

name	description
onboard	Zero-to-sensing path picker for RuView (WiFi-DensePose) — pick docker-demo, repo-build, or live-esp32 and run the next concrete step.

onboard

Get a newcomer from nothing to a working RuView setup. First fact to set: WiFi sensing infers coarse pose/presence/breathing from Channel State Information — it is not a camera, and any accuracy number must be MEASURED against a baseline (use the verify skill / ruview.claim_check tool). Never present WiFi output as camera-grade.

Pick a path

Run ruview.onboard {path} or decide from:

docker-demo — fastest, no hardware. Replays sample CSI into the dashboard. docker run -p 8000:8000 ruvnet/wifi-densepose → open http://localhost:8000. Use to see what it looks like.
repo-build — for developers. cd v2 && cargo test --workspace --no-default-features (1,031+ tests pass), then cargo run -p wifi-densepose-cli -- --help.
live-esp32 — a real install. Flash a node (provision-node skill), point it at the sensing-server, then calibrate-room. This is the only path that senses a real room.

Then

Live sensing → go to provision-node, then calibrate-room.
Evaluating a model/claim → go to verify and run ruview.claim_check on any report before you quote a number.

1.3 KiB Raw Blame History

onboard

Pick a path

Then

1.3 KiB

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