# ADR-160: Edge Skill Library (`wifi-densepose-wasm-edge`) — Honest Labeling & Soundness Cleanup - **Status**: accepted - **Date**: 2026-06-11 - **Deciders**: ruv - **Tags**: wasm-edge, esp32, edge-skills, claim-surface, medical-overclaim, affect, prove-everything, soundness, static-mut - **Amends**: ADR-159 (deferred-backlog line for wasm-edge now TRUE) ## Context Beyond-SOTA sweep Milestone 6, over `v2/crates/wifi-densepose-wasm-edge` only, executed under the project's **prove-everything / anti-"AI-slop"** directive. ### Headline — 0 stubs, 0 theater, all real DSP (REFUTES the slop accusation) A read-only audit found this crate has **zero stubs and zero fake-output theater: every one of the ~70 edge skills runs real DSP** (Welford statistics, autocorrelation, DTW, sliced-Wasserstein, ISTA-style recovery, Kalman/HNSW, etc.). The forward paths are genuine signal processing on real CSI-derived inputs. That is the anti-slop win and it is cited here as a positive, not a fabrication. What the audit correctly found was **not fake code but an over-confident claim surface**: skill *names* and doc-comments asserting clinical/affective/security capabilities that the **unvalidated** code cannot back, concentrated in the medical (`med_*`) and affect (`exo_happiness`/`exo_emotion`) skills. The fix is **honest labeling — making the labels TRUE — NOT making the claimed capability real.** You cannot validate seizure detection, affect inference, or weapon discrimination without clinical/labelled data and reference standards; this ADR does not pretend to. It disclaims, renames, softens, and feature-gates so the surface matches what the DSP actually delivers. Grading vocabulary follows ADR-152 / ADR-158 / ADR-159: - **MEASURED** — reproduced in this worktree, command + failing-on-old test recorded. - **DATA-GATED** — real code path present; honestly flagged where data is absent. - **NO-ACTION (already-honest)** — audited, found correct, cited as a positive. - **ACCEPTED-FUTURE** — deliberately deferred, nothing dropped. ## Per-prefix classification | Prefix | Class | Note | |--------|-------|------| | `sig_*` (signal intelligence) | **REAL-DSP, honest** | Algorithm-named (flash-attention, sparse-recovery, optimal-transport, temporal-compress, mincut). Names describe the math, not an overclaimed outcome. NO-ACTION on labels; A5 soundness applied. | | `lrn_*` (adaptive learning) | **REAL-DSP, honest** | DTW/EWC/meta-adapt/attractor — algorithm-named. NO-ACTION on labels; A5 applied. | | `spt_*` / `tmp_*` | **REAL-DSP, honest** | PageRank/HNSW/spiking-tracker; LTL-guard/GOAP/pattern-sequence. Algorithm-named. NO-ACTION on labels; A5 applied. | | `qnt_*` | **REAL-DSP, honest (disclosed analogy)** | "quantum-**inspired**" / Grover-**inspired** are already disclosed analogies. NO-ACTION (DO-NOT-touch); A5 applied (mechanical, no label/behavior change). | | `bld_*` / `ret_*` / `ind_*` / `occupancy`/`intrusion` | **REAL-DSP, honest** | Occupancy/queue/forklift/clean-room etc. describe physical observables. NO-ACTION on labels; A5 applied. | | `sec_weapon_detect` | **REAL-DSP, overclaiming NAME** → fixed (A3) | Variance-ratio reflectivity renamed off "weapon". | | `med_*` (5) | **REAL-DSP, overclaiming NAME/DOC** → fixed (A1) | Clinical detection asserted as fact; now disclaimed + softened + feature-gated. | | `exo_happiness` / `exo_emotion` | **REAL-DSP, overclaiming NAME/DOC** → fixed (A2) | Affect outputs reframed as proxies; uncited stat removed. | | `exo_dream_stage` / `exo_gesture_language` | **REAL-DSP, quasi-medical/over-named** → fixed (A4) | Disclaimers added; Research tag promoted to header. | | `exo_time_crystal` / `exo_ghost_hunter` | **REAL-DSP, honest novelty** | Disclosed exploratory/novelty skills. NO-ACTION (DO-NOT-touch); A5 applied. | | `nvsim` | out of scope | Disclaimer gold standard; copied its tone. | ## Decision — Fixes Landed ### §A1 Medical overclaim (HIGH) — MEASURED The five `med_*` modules (`med_seizure_detect`, `med_cardiac_arrhythmia`, `med_respiratory_distress`, `med_sleep_apnea`, `med_gait_analysis`) stated clinical detection as fact with no disclaimer ("Detects tonic-clonic seizures…"). **Real fix (honest labeling — the DSP is kept, untouched):** - **(a)** Every module's `//!` header now carries a mandatory disclaimer block, modelled on `sec_weapon_detect.rs` and `nvsim/src/lib.rs`: *"EXPERIMENTAL RESEARCH MODULE — NOT VALIDATED AGAINST CLINICAL DATA. NOT A MEDICAL DEVICE. Flags candidate -like signatures only,"* citing ADR-160. - **(b)** Doc verbs softened: *"Detects tonic-clonic seizures"* → *"Flags candidate tonic-clonic-seizure-like motion signatures (experimental)"*; similarly for cardiac/respiratory/apnea/gait. - **(c)** All five gated behind a new **non-default** cargo feature `medical-experimental` (`#[cfg(feature = "medical-experimental")]` in `lib.rs`, `medical-experimental = []` in `Cargo.toml`, **not** in `default`) so they cannot be silently built into a shipping artifact. **Failing-on-old tests** (`tests/honest_labeling.rs`): `a1_med_modules_have_clinical_disclaimer`, `a1_med_modules_gated_behind_medical_experimental`, `a1_seizure_verbs_softened`. All fail on the old, undisclaimed, ungated source. **Grade: MEASURED (label); per-skill clinical accuracy DATA-GATED.** ### §A2 Affect overclaim (HIGH) — MEASURED `exo_happiness_score.rs` carried an **uncited** "Happy people walk ~12% faster" statistic and emits `HAPPINESS_SCORE`; `exo_emotion_detect.rs` emits `STRESS_INDEX`/`CALM_DETECTED`/`AGITATION_DETECTED`. **Real fix (honest labeling — math kept):** - Deleted the uncited "12% faster" / "~12% above" / "Happy people walk" statements. - Added a prominent *"speculative, unvalidated affect heuristic; outputs are NOT measurements of emotion"* disclaimer to both `//!` headers, citing ADR-160. - Reframed `HAPPINESS_SCORE` in the docs as a **"gait-energy proxy, not a validated affect measure."** **Failing-on-old tests:** `a2_affect_modules_have_unvalidated_disclaimer`, `a2_uncited_12_percent_stat_removed`, `a2_happiness_reframed_as_proxy`. **Grade: MEASURED (label); affect validity DATA-GATED.** ### §A3 Security event-name overclaim (MEDIUM) — MEASURED `sec_weapon_detect.rs`'s module doc was already honest (research-grade, calibration-required), but the event/const names claimed weapon-grade discrimination a variance ratio cannot deliver. **Real fix (honest physical-quantity naming — behavior unchanged):** - `EVENT_WEAPON_ALERT` → `EVENT_HIGH_METAL_REFLECTIVITY` (event id 221 unchanged). - `WEAPON_RATIO_THRESH` → `HIGH_REFLECTIVITY_THRESH`. - Internal fields/consts renamed (`weapon_run`→`high_refl_run`, `cd_weapon`→`cd_high_refl`, `WEAPON_DEBOUNCE`→`HIGH_REFLECTIVITY_DEBOUNCE`). - `lib.rs` `event_types` registry: `WEAPON_ALERT` → `HIGH_METAL_REFLECTIVITY`. - A reflectivity-vs-weapons honest-naming note added to the header. The detector still flags a high amplitude-variance/phase-variance ratio (real RF reflectivity); it just no longer *names* that "weapon". **Failing-on-old tests:** `a3_weapon_names_renamed_to_reflectivity`, `a3_registry_no_longer_exports_weapon_alert` (registry no longer exports a `WEAPON_ALERT` name). **Grade: MEASURED.** ### §A4 Quasi-medical / sign-language exotic modules (MEDIUM) — MEASURED `exo_dream_stage.rs` ("sleep stage classification", quasi-medical) and `exo_gesture_language.rs` ("sign language letter recognition"). **Real fix (honest labeling — DSP kept):** added an experimental "NOT VALIDATED" disclaimer to each `//!` header (citing ADR-160) and promoted the **Exotic/Research** registry tag into the header where a reader sees it. `exo_gesture_language` additionally states it is a coarse gesture-cluster classifier that **does not recognize true sign language** (never evaluated on a labelled ASL set). **Failing-on-old test:** `a4_exotic_modules_have_experimental_disclaimer`. **Grade: MEASURED (label); accuracy DATA-GATED.** ### §A5 `static mut` event-buffer soundness (MEDIUM) — the one real code fix — MEASURED ~61 per-call event scratch buffers across the crate used a module-level `static mut EVENTS: [(i32,f32); N]` (a handful named `EV`/`TE`/`EMPTY`) and returned `&EVENTS[..n]`. On a `cdylib`+`rlib` linkable into multithreaded/reentrant host code this is latent aliasing UB, and `static_mut_refs` is deny-by-default on newer Rust. **Real fix (mechanical, behavior-preserving):** moved each scratch buffer off `static mut` into an **owned per-instance field** (`events: [(i32,f32); N]` on the detector struct, written via `&mut self` and returned as `&self.events[..n]`). The public `-> &[(i32, f32)]` signature is **unchanged**, so no caller (in-module tests, `ghost_hunter` bin, `budget_compliance`) needed editing. Two helper methods that built events under `&self` (`spt_pagerank_influence::build_events`, `spt_spiking_tracker::build_events`) and `sig_temporal_compress::on_timer` were promoted to `&mut self`. Leftover now-redundant `unsafe { }` wrappers were removed. **Count: 61 scratch buffers across 60 module files fixed** (the only `static mut` left in `src/` are the two **legitimate WASM module singletons** — `lib.rs STATE` and `bin/ghost_hunter.rs DETECTOR` — `#[cfg(target_arch="wasm32")]`, `#[no_mangle]`, accessed via `core::ptr::addr_of_mut!`, single-threaded by the wasm runtime contract; these are *not* the aliasing-UB scratch pattern and are left as-is). **Verification:** the full host build (`--features std` and `std,medical-experimental`) compiles with **0 warnings** — there is no longer any `static mut ` + `&` source for `static_mut_refs` to fire on in the 60 fixed modules. (The pure-`wasm32-unknown-unknown` build, where the lint is deny-by-default, could not be run in this worktree because the `wasm32` target is not installed on the build toolchain; the source-level elimination is the evidence, asserted per-module by `a5_claim_bearing_modules_have_no_static_mut_event_buffer`.) **Grade: MEASURED (source-eliminated; residual = 2 legitimate singletons).** ## Negative Results (NO-ACTION positives — cited, not edited for labels) Audited and found genuinely honest; cited as positives: - **`qnt_quantum_coherence.rs`** — discloses "quantum-**inspired**" analogy. - **`exo_time_crystal.rs`**, **`exo_ghost_hunter.rs`** — disclosed exploratory/novelty. - **`qnt_interference_search.rs`** — disclosed "Grover-**inspired**". - **`sig_*` / `lrn_*`** algorithm-named skills — names describe the DSP, not an outcome. - **`nvsim`** — out of scope; the project's disclaimer gold standard (its tone was copied into the A1/A2/A4 disclaimers). (These were A5-soundness-fixed mechanically where they used `static mut`, with no label or behavior change, consistent with leaving their claim surface intact.) ## Deferred Backlog (Nothing Dropped) - **Per-skill accuracy validation** — **PARTIALLY MEASURED-on-synthetic** (2026-06-13). For the subset of skills whose detection target is *constructible* with known ground truth, a synthetic-ground-truth harness (`tests/synthetic_validation.rs`, 12 tests) plants signals with known answers, runs the real detector, and **measures** detection accuracy / rate-error: `vital_trend`, `exo_time_crystal` (periodic-vs-aperiodic — its sub-harmonic-vs- clean-period claim is NOT separable, recorded honestly), `exo_ghost_hunter` (hidden breathing), `occupancy`, `intrusion`, `exo_rain_detect`, `sig_flash_attention` (8/8 peak localization), `spt_spiking_tracker` (4/4 zone localization, sparse plant), `sig_optimal_transport`, `sig_mincut_person_match` (0 id-swaps), `lrn_dtw_gesture_learn` (enrollment) — all 1.000 where claimed; `sig_sparse_recovery`'s recovery accuracy is reported **negative** (−2.2% vs unrecovered baseline) — only its trigger path is validated. Full numbers + reproduce commands in `benchmarks/edge-skills/RESULTS.md`. The **med_*/affect/sign-language/weapon** claims remain **DATA-GATED**: validating them requires labelled clinical/affective/ASL/metal-object data and reference standards that do not exist in this repo. Planting a "seizure-/weapon-/ happy-like" synthetic signal validates nothing real and is explicitly refused; RESULTS.md lists each with the real data it needs. The disclaimers + feature gate are the honest stand-in. Nothing is claimed that is not measured. - **Unified edge pipeline** — **MEASURED** (2026-06-13). `src/pipeline_all.rs` (`EdgePipeline`) + `src/skill_registry.rs` register **every** runtime skill behind one uniform `EdgeSkill` trait and run them all per CSI frame; `med_*` are registered only under `--features medical-experimental` (preserves the §A1 gate). `tests/pipeline_all.rs` (4 tests) proves all 59 default / 64 medical skills run without panic over 300 synthetic frames with a well-formed aggregated event stream. `examples/run_all_skills.rs` is a runnable demo. No skill DSP changed. - **Criterion benches for `process_frame` budget claims** — **DONE (host)** (ADR-163, 2026-06-12). `benches/process_frame_bench.rs` benches the heaviest hot paths (`exo_time_crystal` 256×128 autocorrelation, `exo_ghost_hunter` periodicity, `sec_weapon_detect` per-subcarrier Welford, `med_seizure_detect` clonic rhythm) and reports committed **host** medians (`benchmarks/edge-latency/RESULTS.md`). `tests/budget_compliance.rs` continues to assert the L/S/H tier wall-clock budgets (25 tests, passing). **ESP32-on- hardware (Xtensa/WASM3) latency remains PENDING** — the host bench is an upper-bound algorithm-cost proxy, NOT the ESP32 figure (needs hardware). - **`wasm32-unknown-unknown` `static_mut_refs` confirmation** — **ACCEPTED-FUTURE** (toolchain): the source pattern is eliminated; a CI job on the wasm target should assert zero `static_mut_refs` once the target is added to the build image. - **The 2 residual `static mut` singletons** (`lib.rs STATE`, `ghost_hunter DETECTOR`) — **ACCEPTED-FUTURE**: these are the canonical wasm module-state pattern; migrating them to a safe cell is a separate, larger change with no current UB (single-threaded wasm runtime, `addr_of_mut!` access). ## Reproduction (MEASURED) ```bash cd v2/crates/wifi-densepose-wasm-edge # excluded from the v2 workspace; build here cargo test --features std # default cargo test --features std,medical-experimental # med_* skills enabled cargo test --no-default-features --features std # no default-pipeline cargo test --features std --test honest_labeling # A1–A5 label invariants ``` (`std` is required for host tests — the crate is `no_std` for `wasm32`; pure `--no-default-features` builds only on `wasm32-unknown-unknown`, where it intentionally has no panic handler on the host.) Result at time of writing (all 0 failed): - **DEFAULT** (`--features std`) — **615 passed** (lib 504; budget 25; honest_labeling 10; bench 1; vendor 75) - **MEDICAL** (`--features std,medical-experimental`) — **653 passed** (lib 542; +38 med_* tests; others unchanged) - **NO-DEFAULT** (`--no-default-features --features std`) — **615 passed** - Full host build emits **0 warnings**; **61** `static mut` scratch buffers eliminated, **2** legitimate wasm singletons remain. ## Consequences - No edge skill's name or doc-comment claims a clinical, affective, security, or sign-language capability the unvalidated DSP cannot back. - The five medical skills cannot be silently compiled into a shipping artifact (non-default `medical-experimental` gate). - The security skill can never emit a "weapon alert" — it reports `HIGH_METAL_REFLECTIVITY`, the physical quantity it actually measures. - The latent `static mut` aliasing-UB / `static_mut_refs` exposure is removed from 60 modules; the public API and all runtime behavior are unchanged (615/653 tests prove behavior preservation). - ADR-159's deferred-backlog statement *"wasm-edge … honestly labelled, not claimed"* is now actually TRUE.