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https://github.com/ruvnet/RuView
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rUv
4001e9e178
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).
31 lines
1.3 KiB
Markdown
31 lines
1.3 KiB
Markdown
---
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name: onboard
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description: Zero-to-sensing path picker for RuView (WiFi-DensePose) — pick docker-demo, repo-build, or live-esp32 and run the next concrete step.
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---
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# onboard
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Get a newcomer from nothing to a working RuView setup. **First fact to set:** WiFi
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sensing infers *coarse* pose/presence/breathing from Channel State Information — it
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is **not a camera**, and any accuracy number must be MEASURED against a baseline
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(use the `verify` skill / `ruview.claim_check` tool). Never present WiFi output as
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camera-grade.
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## Pick a path
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Run `ruview.onboard {path}` or decide from:
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1. **docker-demo** — fastest, no hardware. Replays sample CSI into the dashboard.
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`docker run -p 8000:8000 ruvnet/wifi-densepose` → open `http://localhost:8000`.
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Use to see what it looks like.
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2. **repo-build** — for developers. `cd v2 && cargo test --workspace --no-default-features`
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(1,031+ tests pass), then `cargo run -p wifi-densepose-cli -- --help`.
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3. **live-esp32** — a real install. Flash a node (`provision-node` skill), point it at
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the sensing-server, then `calibrate-room`. This is the only path that senses a real room.
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## Then
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- Live sensing → go to **provision-node**, then **calibrate-room**.
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- Evaluating a model/claim → go to **verify** and run `ruview.claim_check` on any
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report before you quote a number.
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