# Claude Code Configuration — WiFi-DensePose + Claude Flow V3

## Project: wifi-densepose

WiFi-based human pose estimation using Channel State Information (CSI).
Dual codebase: Python v1 (`v1/`) and Rust port (`v2/`).
### Key Rust Crates
| Crate | Description |
|-------|-------------|
| `wifi-densepose-core` | Core types, traits, error types, CSI frame primitives |
| `wifi-densepose-signal` | SOTA signal processing + RuvSense multistatic sensing (16 modules) |
| `wifi-densepose-nn` | Neural network inference (ONNX, PyTorch, Candle backends) |
| `wifi-densepose-train` | Training pipeline with ruvector integration + ruview_metrics; MAE pretraining recipe (`mae.rs`, ADR-152 §2.3) + WiFlow-STD port (`wiflow_std/`, tch-gated) |
| `wifi-densepose-mat` | Mass Casualty Assessment Tool — disaster survivor detection |
| `wifi-densepose-hardware` | ESP32 aggregator, TDM protocol, channel hopping firmware; `ieee80211bf/` 802.11bf forward-compat protocol model (ADR-153) |
| `wifi-densepose-ruvector` | RuVector v2.0.4 integration + cross-viewpoint fusion (5 modules) |
| `wifi-densepose-wasm` | WebAssembly bindings for browser deployment |
| `wifi-densepose-cli` | CLI tool (`wifi-densepose` binary) — `calibrate`/`calibrate-serve`/`enroll`/`train-room`/`room-watch` + MAT (MAT gated behind the `mat` feature; build `--no-default-features` for the aarch64/appliance calibration binary) |
| `wifi-densepose-calibration` | ADR-151 per-room calibration & specialist training — `baseline → enroll → extract → train` → bank of small specialists (presence/posture/breathing/heartbeat/restlessness/anomaly) + multistatic fusion; pure Rust, edge-deployable |
| `wifi-densepose-sensing-server` | Lightweight Axum server for WiFi sensing UI |
| `wifi-densepose-wifiscan` | Multi-BSSID WiFi scanning (ADR-022) |
| `wifi-densepose-vitals` | ESP32 CSI-grade vital sign extraction (ADR-021) |
| `nvsim` | Deterministic NV-diamond magnetometer pipeline simulator (ADR-089) — standalone leaf, WASM-ready |
| `vendor/rvcsi` (submodule) | **rvCSI** — edge RF sensing runtime (ADR-095/096): 9 crates (`rvcsi-core`/`-dsp`/`-events`/`-adapter-file`/`-adapter-nexmon`/`-ruvector`/`-runtime`/`-node`/`-cli`). Lives in its own repo ([github.com/ruvnet/rvcsi](https://github.com/ruvnet/rvcsi)), vendored here under `vendor/rvcsi`, published to crates.io as `rvcsi-* 0.3.x` and to npm as `@ruv/rvcsi`. Not a `v2/` workspace member — depend on the published crates (or the submodule's `crates/rvcsi-*` paths). Normalized `CsiFrame`/`CsiWindow`/`CsiEvent` schema, validate-before-FFI, reusable DSP, typed confidence-scored events, the napi-c Nexmon shim (real nexmon_csi `.pcap` from a Raspberry Pi 5 / 4 / 3B+ — BCM43455c0), the napi-rs SDK, the `rvcsi` CLI, a Claude Code plugin. |
| `vendor/rufield` (submodule) | **RuField MFS** — the open spec for camera-free multimodal field sensing (ADR-260). A common `FieldEvent`/`FieldTensor`/`FusionGraph`/`PrivacyClass`/`ProvenanceReceipt` model *above* WiFi CSI/CIR/BFLD, UWB, BLE Channel Sounding, mmWave radar, ultrasound, subsonic, infrared, and quantum sensors. Lives in its own repo ([github.com/ruvnet/rufield](https://github.com/ruvnet/rufield)), vendored here under `vendor/rufield`. Not a `v2/` workspace member. v0.1 reference stack = 7 crates (`rufield-core`/`-provenance`/`-privacy`/`-adapters`/`-fusion`/`-bench`/`-viewer`), 72 tests/0 failed; `rufield-viewer` is an Axum + vanilla-JS read-only dashboard (`cargo run -p rufield-viewer`) completing ADR-260 §27.9. The WiFi-CSI modality is now **real-replay-backed** via `CsiReplayAdapter` (ingests real captured `.csi.jsonl` → fused presence/breathing inferences; replay-from-file, unlabeled CSI-variance proxy, not validated accuracy); mmWave/thermal + all synthetic-bench F1 numbers remain **SYNTHETIC** (no live hardware — live streaming + labeled accuracy are roadmap). |
| `wifi-densepose-rufield` | ADR-262 P1 **anti-corruption bridge** — converts RuView WiFi-CSI sensing output (`SensingSnapshot` mirroring `SensingUpdate` + `TrustedOutput`, owned primitives, no dep on `wifi-densepose-sensing-server`) into **signed RuField `FieldEvent`s** (`Modality::WifiCsi`, real `timestamp_ns`, sha256 + ed25519 provenance, `synthetic=false`). The single coupling point between RuView and the standalone RuField MFS spec (§5.4); path-deps the `vendor/rufield` submodule crates (`rufield-core`/`-provenance`/`-privacy`/`-fusion`). **Critical §3.3 privacy mapping** (`map_privacy`): maps RuView class → RuField P0–P5 by **information content, never byte value**, fail-closed (`Derived → P4/P5`, never P1; `demoted` floors to ≥ P2). 15 tests / 0 failed (round-trip / `is_fusable` / fusion-ingest / privacy-safety / determinism). P1 plumbing — not wired into the live server (P3), no accuracy claim. |
| `ruview-swarm` | Drone swarm control system (ADR-148) — hierarchical-mesh topology, Raft consensus, MARL, CSI sensing payload, MAVLink/PX4 compat, Ruflo AI-agent integration |

### RuvSense Modules (`signal/src/ruvsense/`)
| Module | Purpose |
|--------|---------|
| `multiband.rs` | Multi-band CSI frame fusion, cross-channel coherence |
| `phase_align.rs` | Iterative LO phase offset estimation, circular mean |
| `multistatic.rs` | Attention-weighted fusion, geometric diversity |
| `coherence.rs` | Z-score coherence scoring, DriftProfile |
| `coherence_gate.rs` | Accept/PredictOnly/Reject/Recalibrate gate decisions |
| `pose_tracker.rs` | 17-keypoint Kalman tracker with AETHER re-ID embeddings |
| `field_model.rs` | SVD room eigenstructure, perturbation extraction |
| `tomography.rs` | RF tomography, ISTA L1 solver, voxel grid |
| `longitudinal.rs` | Welford stats, biomechanics drift detection |
| `intention.rs` | Pre-movement lead signals (200-500ms) |
| `cross_room.rs` | Environment fingerprinting, transition graph |
| `gesture.rs` | DTW template matching gesture classifier |
| `adversarial.rs` | Physically impossible signal detection, multi-link consistency |
| `cir.rs` | ADR-134 CSI→CIR via ISTA L1 sparse recovery (NeumannSolver warm-start) |
| `calibration.rs` | ADR-135 empty-room baseline (Welford amplitude + von Mises phase, drift trigger) |

### Cross-Viewpoint Fusion (`ruvector/src/viewpoint/`)
| Module | Purpose |
|--------|---------|
| `attention.rs` | CrossViewpointAttention, GeometricBias, softmax with G_bias |
| `geometry.rs` | GeometricDiversityIndex, Cramer-Rao bounds, Fisher Information |
| `coherence.rs` | Phase phasor coherence, hysteresis gate |
| `fusion.rs` | MultistaticArray aggregate root, domain events |

### RuVector v2.0.4 Integration (ADR-016 complete, ADR-017 proposed)
All 5 ruvector crates integrated in workspace:
- `ruvector-mincut` → `metrics.rs` (DynamicPersonMatcher) + `subcarrier_selection.rs`
- `ruvector-attn-mincut` → `model.rs` (apply_antenna_attention) + `spectrogram.rs`
- `ruvector-temporal-tensor` → `dataset.rs` (CompressedCsiBuffer) + `breathing.rs`
- `ruvector-solver` → `subcarrier.rs` (sparse interpolation 114→56) + `triangulation.rs`
- `ruvector-attention` → `model.rs` (apply_spatial_attention) + `bvp.rs`

### Architecture Decisions
182 ADRs in `docs/adr/` (numbered ADR-001 through ADR-265, with gaps). Key ones:
- ADR-014: SOTA signal processing (Accepted)
- ADR-015: MM-Fi + Wi-Pose training datasets (Accepted)
- ADR-016: RuVector training pipeline integration (Accepted — complete)
- ADR-017: RuVector signal + MAT integration (Proposed — next target)
- ADR-024: Contrastive CSI embedding / AETHER (Accepted)
- ADR-027: Cross-environment domain generalization / MERIDIAN (Accepted)
- ADR-028: ESP32 capability audit + witness verification (Accepted)
- ADR-029: RuvSense multistatic sensing mode (Proposed)
- ADR-030: RuvSense persistent field model (Proposed)
- ADR-031: RuView sensing-first RF mode (Proposed)
- ADR-032: Multistatic mesh security hardening (Proposed)
- ADR-148: Drone swarm control system / `ruview-swarm` (In Progress)
- ADR-152: WiFi-Pose SOTA 2026 intake — geometry conditioning, WiFlow-STD benchmark (measurement (a) complete: claims MEASURED-EQUIVALENT at ~96% PCK@20), MAE recipe (Proposed; §2.1–2.3, 2.6 implemented)
- ADR-153: IEEE 802.11bf-2025 forward-compatibility protocol model (Accepted — amends ADR-152 §2.4)
- ADR-182: `npx ruview` harness minted via MetaHarness (Accepted — P1+P2 shipped as `@ruvnet/ruview`)
- ADR-263: `@ruvnet/ruview` npm harness deep review + optimization strategy (Proposed)
- ADR-264: `@ruvnet/rvagent` MCP server + `@ruv/ruview-cli` deep review + optimization strategy (Proposed)
- ADR-265: RuView npm distribution strategy — CI gate, provenance, version single-sourcing (Proposed)

### Supported Hardware

| Device | Port | Chip | Role | Cost |
|--------|------|------|------|------|
| ESP32-S3 (8MB flash) | COM9 (ruvzen, was COM7) | Xtensa dual-core | WiFi CSI sensing node | ~$9 |
| ESP32-S3 SuperMini (4MB) | — | Xtensa dual-core | WiFi CSI (compact) | ~$6 |
| ESP32-C6 + Seeed MR60BHA2 | COM12 (ruvzen, was COM4) | RISC-V + 60 GHz FMCW | mmWave HR/BR/presence + WiFi CSI | ~$15 |
| HLK-LD2410 | — | 24 GHz FMCW | Presence + distance | ~$3 |

**Not supported:** ESP32 (original), ESP32-C3 — single-core, can't run CSI DSP pipeline.

**⚠️ Compact boards (SuperMini, ESP32-S3-Zero, other coin-sized clones) run hot:** the firmware keeps the WiFi radio on continuously (`WIFI_PS_NONE`) and runs a full DSP pipeline (`edge_tier=2`), which is sustained high current draw. Full-size dev boards handle this fine; coin-sized clones with minimal PCB copper and budget regulators can run uncomfortably hot and, per at least one field report, have failed to power on again after a hot session. Give them airflow and check by touch during the first few minutes. See `firmware/esp32-csi-node/README.md` for details.

### Build & Test Commands (this repo)
```bash
# Rust — full workspace tests (1,031+ tests, ~2 min)
cd v2
cargo test --workspace --no-default-features

# Rust — single crate check (no GPU needed)
cargo check -p wifi-densepose-train --no-default-features

# Python — deterministic proof verification (SHA-256)
python archive/v1/data/proof/verify.py

# Python — test suite
cd archive/v1 && python -m pytest tests/ -x -q
```

### ESP32 Firmware Build (Windows — Python subprocess required)
```bash
# Build 8MB firmware (real WiFi CSI mode, no mocks)
# See CLAUDE.local.md for the full Python subprocess command
# Key: must strip MSYSTEM env vars for ESP-IDF v5.4 on Git Bash

# Build 4MB firmware
cp sdkconfig.defaults.4mb sdkconfig.defaults
# then same build process

# Flash to COM7
# [python, idf_py, '-p', 'COM7', 'flash']

# Provision WiFi
python firmware/esp32-csi-node/provision.py --port COM7 \
  --ssid "YourWiFi" --password "secret" --target-ip 192.168.1.20

# Monitor serial
python -m serial.tools.miniterm COM7 115200
```

### Firmware Release Process
1. Build 8MB from `sdkconfig.defaults.template` (no mock)
2. Build 4MB from `sdkconfig.defaults.4mb` (no mock)
3. Save 6 binaries: `esp32-csi-node.bin`, `bootloader.bin`, `partition-table.bin`, `ota_data_initial.bin`, `esp32-csi-node-4mb.bin`, `partition-table-4mb.bin`
4. Tag: `git tag v0.X.Y-esp32 && git push origin v0.X.Y-esp32`
5. Release: `gh release create v0.X.Y-esp32 <binaries> --title "..." --notes-file ...`
6. Verify on real hardware (COM7) before publishing
7. **CRITICAL:** Always test with real WiFi CSI, not mock mode — mock missed the Kconfig threshold bug

### Crate Publishing Order
Crates must be published in dependency order:
1. `wifi-densepose-core` (no internal deps)
2. `wifi-densepose-vitals` (no internal deps)
3. `wifi-densepose-wifiscan` (no internal deps)
4. `wifi-densepose-hardware` (no internal deps)
5. `wifi-densepose-signal` (depends on core)
6. `wifi-densepose-nn` (no internal deps, workspace only)
7. `wifi-densepose-ruvector` (no internal deps, workspace only)
8. `wifi-densepose-train` (depends on signal, nn)
9. `wifi-densepose-mat` (depends on core, signal, nn)
10. `wifi-densepose-wasm` (depends on mat)
11. `wifi-densepose-sensing-server` (depends on wifiscan)
12. `wifi-densepose-cli` (depends on mat)

### Validation & Witness Verification (ADR-028)

**After any significant code change, run the full validation:**

```bash
# 1. Rust tests — must be 1,031+ passed, 0 failed
cd v2
cargo test --workspace --no-default-features

# 2. Python proof — must print VERDICT: PASS
cd ..
python archive/v1/data/proof/verify.py

# 3. Generate witness bundle (includes both above + firmware hashes)
bash scripts/generate-witness-bundle.sh

# 4. Self-verify the bundle — must be 7/7 PASS
cd dist/witness-bundle-ADR028-*/
bash VERIFY.sh
```

**If the Python proof hash changes** (e.g., numpy/scipy version update):
```bash
# Regenerate the expected hash, then verify it passes
python archive/v1/data/proof/verify.py --generate-hash
python archive/v1/data/proof/verify.py
```

**Witness bundle contents** (`dist/witness-bundle-ADR028-<sha>.tar.gz`):
- `WITNESS-LOG-028.md` — 33-row attestation matrix with evidence per capability
- `ADR-028-esp32-capability-audit.md` — Full audit findings
- `proof/verify.py` + `expected_features.sha256` — Deterministic pipeline proof
- `test-results/rust-workspace-tests.log` — Full cargo test output
- `firmware-manifest/source-hashes.txt` — SHA-256 of all 7 ESP32 firmware files
- `crate-manifest/versions.txt` — All 15 crates with versions
- `VERIFY.sh` — One-command self-verification for recipients

**Key proof artifacts:**
- `archive/v1/data/proof/verify.py` — Trust Kill Switch: feeds reference signal through production pipeline, hashes output
- `archive/v1/data/proof/expected_features.sha256` — Published expected hash
- `archive/v1/data/proof/sample_csi_data.json` — 1,000 synthetic CSI frames (seed=42)
- `docs/WITNESS-LOG-028.md` — 11-step reproducible verification procedure
- `docs/adr/ADR-028-esp32-capability-audit.md` — Complete audit record

### Branch
Default branch: `main`
Active feature branch: `ruvsense-full-implementation` (PR #77)

---

## Behavioral Rules (Always Enforced)

- Do what has been asked; nothing more, nothing less
- NEVER create files unless they're absolutely necessary for achieving your goal
- ALWAYS prefer editing an existing file to creating a new one
- NEVER proactively create documentation files (*.md) or README files unless explicitly requested
- NEVER save working files, text/mds, or tests to the root folder
- Never continuously check status after spawning a swarm — wait for results
- ALWAYS read a file before editing it
- NEVER commit secrets, credentials, or .env files

## File Organization

- NEVER save to root folder — use the directories below
- `docs/adr/` — Architecture Decision Records (43 ADRs)
- `docs/ddd/` — Domain-Driven Design models
- `v2/crates/` — Rust workspace crates (15 crates)
- `v2/crates/wifi-densepose-signal/src/ruvsense/` — RuvSense multistatic modules (14 files)
- `v2/crates/wifi-densepose-ruvector/src/viewpoint/` — Cross-viewpoint fusion (5 files)
- `v2/crates/wifi-densepose-hardware/src/esp32/` — ESP32 TDM protocol
- `firmware/esp32-csi-node/main/` — ESP32 C firmware (channel hopping, NVS config, TDM)
- `archive/v1/src/` — Python source (core, hardware, services, api)
- `archive/v1/data/proof/` — Deterministic CSI proof bundles
- `.claude-flow/` — Claude Flow coordination state (committed for team sharing)
- `.claude/` — Claude Code settings, agents, memory (committed for team sharing)

## Project Architecture

- Follow Domain-Driven Design with bounded contexts
- Keep files under 500 lines
- Use typed interfaces for all public APIs
- Prefer TDD London School (mock-first) for new code
- Use event sourcing for state changes
- Ensure input validation at system boundaries

### Project Config

- **Topology**: hierarchical-mesh
- **Max Agents**: 15
- **Memory**: hybrid
- **HNSW**: Enabled
- **Neural**: Enabled

## Pre-Merge Checklist

Before merging any PR, verify each item applies and is addressed:

1. **Rust tests pass** — `cargo test --workspace --no-default-features` (1,031+ passed, 0 failed)
2. **Python proof passes** — `python archive/v1/data/proof/verify.py` (VERDICT: PASS)
3. **README.md** — Update platform tables, crate descriptions, hardware tables, feature summaries if scope changed
4. **CLAUDE.md** — Update crate table, ADR list, module tables, version if scope changed
5. **CHANGELOG.md** — Add entry under `[Unreleased]` with what was added/fixed/changed
6. **User guide** (`docs/user-guide.md`) — Update if new data sources, CLI flags, or setup steps were added
7. **ADR index** — Update ADR count in README docs table if a new ADR was created
8. **Witness bundle** — Regenerate if tests or proof hash changed: `bash scripts/generate-witness-bundle.sh`
9. **Docker Hub image** — Only rebuild if Dockerfile, dependencies, or runtime behavior changed
10. **Crate publishing** — Only needed if a crate is published to crates.io and its public API changed
11. **`.gitignore`** — Add any new build artifacts or binaries
12. **Security audit** — Run security review for new modules touching hardware/network boundaries

## Build & Test

```bash
# Build
npm run build

# Test
npm test

# Lint
npm run lint
```

- ALWAYS run tests after making code changes
- ALWAYS verify build succeeds before committing

## Security Rules

- NEVER hardcode API keys, secrets, or credentials in source files
- NEVER commit .env files or any file containing secrets
- Always validate user input at system boundaries
- Always sanitize file paths to prevent directory traversal
- Run `npx @claude-flow/cli@latest security scan` after security-related changes

## Concurrency: 1 MESSAGE = ALL RELATED OPERATIONS

- All operations MUST be concurrent/parallel in a single message
- Use Claude Code's Task tool for spawning agents, not just MCP
- ALWAYS batch ALL todos in ONE TodoWrite call (5-10+ minimum)
- ALWAYS spawn ALL agents in ONE message with full instructions via Task tool
- ALWAYS batch ALL file reads/writes/edits in ONE message
- ALWAYS batch ALL Bash commands in ONE message

## Swarm Orchestration

- MUST initialize the swarm using CLI tools when starting complex tasks
- MUST spawn concurrent agents using Claude Code's Task tool
- Never use CLI tools alone for execution — Task tool agents do the actual work
- MUST call CLI tools AND Task tool in ONE message for complex work

### 3-Tier Model Routing (ADR-026)

| Tier | Handler | Latency | Cost | Use Cases |
|------|---------|---------|------|-----------|
| **1** | Agent Booster (WASM) | <1ms | $0 | Simple transforms (var→const, add types) — Skip LLM |
| **2** | Haiku | ~500ms | $0.0002 | Simple tasks, low complexity (<30%) |
| **3** | Sonnet/Opus | 2-5s | $0.003-0.015 | Complex reasoning, architecture, security (>30%) |

- Always check for `[AGENT_BOOSTER_AVAILABLE]` or `[TASK_MODEL_RECOMMENDATION]` before spawning agents
- Use Edit tool directly when `[AGENT_BOOSTER_AVAILABLE]`

## Swarm Configuration & Anti-Drift

- ALWAYS use hierarchical topology for coding swarms
- Keep maxAgents at 6-8 for tight coordination
- Use specialized strategy for clear role boundaries
- Use `raft` consensus for hive-mind (leader maintains authoritative state)
- Run frequent checkpoints via `post-task` hooks
- Keep shared memory namespace for all agents

```bash
npx @claude-flow/cli@latest swarm init --topology hierarchical --max-agents 8 --strategy specialized
```

## Swarm Execution Rules

- ALWAYS use `run_in_background: true` for all agent Task calls
- ALWAYS put ALL agent Task calls in ONE message for parallel execution
- After spawning, STOP — do NOT add more tool calls or check status
- Never poll TaskOutput or check swarm status — trust agents to return
- When agent results arrive, review ALL results before proceeding

## V3 CLI Commands

### Core Commands

| Command | Subcommands | Description |
|---------|-------------|-------------|
| `init` | 4 | Project initialization |
| `agent` | 8 | Agent lifecycle management |
| `swarm` | 6 | Multi-agent swarm coordination |
| `memory` | 11 | AgentDB memory with HNSW search |
| `task` | 6 | Task creation and lifecycle |
| `session` | 7 | Session state management |
| `hooks` | 17 | Self-learning hooks + 12 workers |
| `hive-mind` | 6 | Byzantine fault-tolerant consensus |

### Quick CLI Examples

```bash
npx @claude-flow/cli@latest init --wizard
npx @claude-flow/cli@latest agent spawn -t coder --name my-coder
npx @claude-flow/cli@latest swarm init --v3-mode
npx @claude-flow/cli@latest memory search --query "authentication patterns"
npx @claude-flow/cli@latest doctor --fix
```

## Available Agents (60+ Types)

### Core Development
`coder`, `reviewer`, `tester`, `planner`, `researcher`

### Specialized
`security-architect`, `security-auditor`, `memory-specialist`, `performance-engineer`

### Swarm Coordination
`hierarchical-coordinator`, `mesh-coordinator`, `adaptive-coordinator`

### GitHub & Repository
`pr-manager`, `code-review-swarm`, `issue-tracker`, `release-manager`

### SPARC Methodology
`sparc-coord`, `sparc-coder`, `specification`, `pseudocode`, `architecture`

## Memory Commands Reference

```bash
# Store (REQUIRED: --key, --value; OPTIONAL: --namespace, --ttl, --tags)
npx @claude-flow/cli@latest memory store --key "pattern-auth" --value "JWT with refresh" --namespace patterns

# Search (REQUIRED: --query; OPTIONAL: --namespace, --limit, --threshold)
npx @claude-flow/cli@latest memory search --query "authentication patterns"

# List (OPTIONAL: --namespace, --limit)
npx @claude-flow/cli@latest memory list --namespace patterns --limit 10

# Retrieve (REQUIRED: --key; OPTIONAL: --namespace)
npx @claude-flow/cli@latest memory retrieve --key "pattern-auth" --namespace patterns
```

## Quick Setup

```bash
claude mcp add claude-flow -- npx -y @claude-flow/cli@latest
npx @claude-flow/cli@latest daemon start
npx @claude-flow/cli@latest doctor --fix
```

## Claude Code vs CLI Tools

- Claude Code's Task tool handles ALL execution: agents, file ops, code generation, git
- CLI tools handle coordination via Bash: swarm init, memory, hooks, routing
- NEVER use CLI tools as a substitute for Task tool agents

## Support

- Documentation: https://github.com/ruvnet/claude-flow
- Issues: https://github.com/ruvnet/claude-flow/issues
