seance.tsx / JudgmentPanel.tsx: neither `ritual_complete` nor
`judgment_result` carries an entity id, and both were applied
unconditionally — so a response still in flight when the seeker summoned a
fresh entity landed on whatever entity happened to be current when it
arrived, leaking the *previous* entity's hidden traits into the new one's
revealed-traits UI. Both frames are now gated on our still waiting for one
(ritual.status === 'in_progress' / judgmentPending), which the 'entity'
case clears the moment a new presence arrives, so a late answer for the old
entity is dropped instead of misattributed.
JudgmentPanel also had `pending` in component-local state that only cleared
when judgmentResult became a *new* truthy object. If the entity changed
while judgmentResult was already null, the reset was a no-op (null === null)
and pending stayed stuck, permanently disabling all four verdict buttons.
It now reads the shared judgmentPending flag, which the reducer resets.
coldSpot.ts: severity was ungated by `warm` while isColdSpot/
isPressureAnomaly were correctly gated. ColdSpotPanel feeds severity
straight into the composite disturbance gauge with no boolean gate of its
own, so a freshly-paired device could show "disturbance rising" off its 2nd
reading — exactly what the minSamples warm-up exists to prevent.
PlanchetteBoard.tsx: the first GOODBYE deadline was a bare
randomBetween(120,300) compared against `t`, which is seconds since
performance.timeOrigin (page load), not since mount. Every later reschedule
correctly offsets from `t`. On a tab open >5min before the board mounted
(or any remount via navigation), t was already past the deadline and the
planchette snapped to GOODBYE on the first frame.
sdr.ts: close() and setFrequency() inside the sweep loop were not wrapped in
withTimeout despite the file's own header claiming every stalling USB call
is. A dongle going unresponsive mid-sweep or during teardown hung forever —
the same silent-hang symptom withTimeout was added to eliminate.
InventoryPanel.tsx: essence was decremented client-side using a possibly
stale fallback price and never reconciled. The server already returns the
real post-purchase balance in PurchaseOut; use it.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
rd03e.c: RD03E_FRAME_LEN was 5 but the frame's own documented layout
(header + gesture + distance_lo + distance_hi + footer[2]) is 6 bytes.
The footer check read buf[i+3], colliding with the distance high byte at
that same index — so every frame that validated at all was forced to have
distance_cm = lo | 0x5500 (~218m) regardless of what the sensor reported.
Distance readings were garbage 100% of the time, not intermittently.
mems_mic.c: i2s_del_channel() was missing on 2 of 3 init failure paths,
leaking the channel handle.
bmp280.c: the I2C bus/device handles leaked on 4 of 5 init failure paths;
added a fail label that releases both.
app_main.c: sensors now init before Wi-Fi bring-up, matching the rationale
sensor_driver.h already documents (a hanging sensor bus must not be able to
block network bring-up).
rtlsdr_experimental.c: rtlsdr_exp_stop() waited 500ms before
usb_host_uninstall(), but the daemon task blocks up to 1000ms inside
usb_host_lib_handle_events() before re-checking its running flag — the
delay must exceed that or teardown races a live daemon task.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Real bug report: user selects their RTL-SDR dongle in the WebUSB picker,
"nothing happens" — no error, no sweep, no visible change at all.
Root cause: WebUSB's transferIn/controlTransfer calls have no built-in
timeout. readSamples()'s bulk transferIn (called every sweep step, twice —
once to discard PLL-settle samples, once for real) had nothing bounding
it, so if the dongle doesn't actually stream data for any reason (this
init sequence has never been verified against real hardware), that
promise just never settles — indistinguishable from the page being frozen,
forever, with no way for the UI to ever surface an error.
Added withTimeout(), applied to: the bulk IQ read (4s — the one most
likely to actually hang during sweeping) and the whole open()/init
sequence as one unit (15s, since it's ~20 sequential unverified register
pokes). Also stopped silently falling back to default
interface/endpoint values when the device's USB descriptor doesn't expose
a bulk-IN endpoint as expected — now logs a warning so a real endpoint
mismatch is at least visible in DevTools instead of only surfacing as a
downstream hang.
4 new unit tests for withTimeout(). 306/306 frontend tests pass.
Wander bounds were tied to the letter ring's radius, which sits inside
YES/NO's corner positions — widened to derive bounds directly from the
board's actual outermost fixed waypoints (YES/NO for the top/sides, the
number row for the bottom) so idle drift covers the whole interactive
board, corners included.
Added a periodic deliberate visit to GOODBYE: every 2-5 minutes
(randomized so multiple open tabs don't sync up), the planchette glides
down and rests there for 3-5 seconds with the same restrained glow used
for ambiently-brushed letters, then resumes normal wander. Purely a
visual beat — no session/game state changes, distinct from an actual
goodbye action.
The wander amplitude (w*0.16, h*0.14) was a fixed fraction of the canvas
with no relationship to the outer letter ring's actual radius
(min(w*0.4, h*0.52) — set in computeLayout's arc() calls), so idle drift
could never reach anywhere near the outer letters (A/M/N/Z, the arc tops).
Tied the wander radius directly to that same ring radius/squash factor
instead, so it genuinely roams the whole board.
Also added an ambient "letter brushing" effect: while idly wandering (not
actively spelling a real reply), a letter the planchette drifts near gets
a faint glow — visibly dimmer than the bright hover/dwell glow used for
real spelled letters, so a passing brush never reads as the spirit
actually saying something. Purely cosmetic, no game-state changes.
The old prompt asked for "an evocative spirit name" and "2-3 sentences of
lore" — abstract enough that the LLM defaulted to poetic ghost-vagueness
(static, voids, ancient sorrow) rather than anything resembling a specific
dead person. Horror fiction's actual technique for selling "this was once
a real human" is the opposite: mundane, unglamorous specificity (an
ordinary job, an approximate age/decade, one small habit or possession)
placed right up against the uncanny.
Refined MINT_SYSTEM and MINT_PROMPT to require the model silently work out
a name, occupation, age/era of death, one small mundane detail, and a
plain (not epic) unfinished-business hook before writing persona/quotes —
and to make at least one quote a mundane human fragment rather than
cosmic riddle-speak. JSON schema and mint_prompt()'s signature are
unchanged, so nothing downstream needs updating — this is a pure prompt
refinement. 20/20 prompt/entity tests pass, 221/221 full suite.
Real-time anomaly visualization for temperature/pressure readings on the
device-feed dashboard, folklore's two most iconic paranormal markers:
sudden cold spots and rapid barometric swings.
- lib/coldSpot.ts: pure, directly-testable rolling-baseline tracker
(time-aware EMA, since hardware doesn't report on a fixed schedule),
cold-spot and pressure-anomaly classifiers, and a composite
Atmospheric Disturbance Index that rewards correlated anomalies
(a lone signal caps at 50/100; only both deviating together can
reach 100) — modeled on evilMeter.ts's threaded-state pattern.
- components/ColdSpotPanel.tsx/.css: frost treatment + sparkline for
temperature, ripple treatment for pressure, and a crescent-arc
composite gauge (GhostLog's evil-meter gauge as the visual family
reference) that only appears once a device has reported both sensors.
- DevicesPage.tsx: owns per-device baseline state, feeds it from
`reading` frames, falls back to the existing generic row for any
non-numeric temperature/pressure value.
26 new coldSpot.test.ts cases (warm-up, genuine vs. fluctuation,
correlated-vs-solo index, gappy/out-of-order data) and 7 new
DevicesPage integration tests. Full suite: 302/302 passing, tsc clean,
i18n coverage clean (en/es).
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Mic: confirmed via its pinout (L/R, WS, SCK, SD, VCC, GND) that the third
target module is a standard I2S digital MEMS mic (INMP441-family). Added
mems_mic.c/h using ESP-IDF's current driver/i2s_std.h API — reports RMS
audio level in dBFS as sensor_type "evp" rather than attempting on-device
voice-band FFT (the browser EVP mode's approach); the backend's existing
statistical anomaly detector handles spike detection from the raw level,
same as it already does for temperature/pressure/presence.
Also fixes a real gap Workstream B's report flagged: User.essence (a live
model column used throughout merged code — /auth/me, inventory purchases,
summon trickle) had no migration line in main.py's lifespan, which would
have broken on the actual production Postgres database.
Researched the exact modules the user is building with and fixed three
concrete issues the earlier speculative firmware got wrong:
1. WiFi: confirmed the target board (Waveshare ESP32-P4-Module-DEV-KIT,
chip ESP32-P4NRW32) bridges WiFi through an onboard ESP32-C6
co-processor over a fixed 7-pin SDIO link (CLK18/CMD19/D0-14/D1-15/
D2-16/D3-17/RESET54, cross-confirmed against Espressif's own
esp-hosted-mcu docs). wifi_manager.c's esp_wifi_init()/esp_wifi_start()
calls don't need to change — esp_wifi_remote/esp_hosted provide a
drop-in-compatible API — but the component manifest (new
main/idf_component.yml) and sdkconfig.defaults were missing entirely.
2. Real pin conflict: the presence sensor's original UART pins (17/18)
directly collided with the SDIO CLK/D3 pins above — wiring it there
would have broken WiFi, the sensor, or both. Moved to GPIO4/5.
3. Swapped placeholder parts for the user's actual hardware:
- BME280 -> BMP280 (GY-BMP280 module): temp+pressure only, no humidity.
Rewrote the driver rather than just renaming it — the old code would
have read nonexistent humidity registers and reported garbage
forever. 3.3V-only wiring note added (the BME280 assumption of
5V-tolerant logic doesn't hold for this specific breakout).
- LD2410 -> RD-03E (Ai-Thinker, not Hi-Link — a different manufacturer
with a different, incompatible UART protocol). Rewrote the frame
parser against the RD-03E's actual (if less-documented) 5-byte
simple-report format. Reports numeric distance instead of a boolean,
which better fits both the hardware's actual output and the backend's
statistical anomaly detector.
README, CMakeLists.txt, and all cross-references updated to match.
Implements Workstream B of the character-depth-ghost-log spec:
ritual_start/ritual_step/judgment WS handlers, the pure judgment.py
logic module, and the User.favor / Entity.at_peace columns + migration.
- app/judgment.py: pure ritual success roll (base 65%, floored at 30%,
driven by an entity's power+deceptiveness difficulty), the "stuck
spirit" cross_over rule (alignment >= 0.5 and volatility > 0.6, ~20%
of entities), judgment correctness/favor-delta/essence-delta/
consequence resolution for all four verdicts, favor clamping, the
favor-to-trait-roll bias applied at mint time, and tell-line
generation (opaque behavioral flavor text, never a raw stat).
- app/ws.py: wires ritual_start/ritual_step/judgment frames, emits
ritual_complete/tell/judgment_result/item_drop per the spec's
Contract; traits are added to serialize_entity for internal
server-side use but stripped from the outbound `entity` frame via a
new _public_entity helper so hidden ground truth never reaches the
client outside ritual_complete; _summon excludes at-peace entities
from signature re-contact and mints a fresh (salted-signature) entity
instead; new entities' traits are nudged by the discovering user's
favor before being persisted.
- models/user.py, models/entity.py, main.py: User.favor and
Entity.at_peace columns plus their idempotent ADD COLUMN IF NOT
EXISTS migration lines in lifespan, alongside the existing ones.
- tests/test_judgment.py, tests/test_ws_ritual_judgment.py: 56 new
tests covering the ritual/judgment correctness matrix, favor
clamping/bias, essence crediting, at_peace persistence + re-contact,
and the entity-frame trait leak guard.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Resolved add/add conflict in the top-level firmware README: both I and J
created one (J's brief said "create it if I hasn't", and both ran in
isolated worktrees with no visibility into each other). Combined them —
kept I's comprehensive core-project README as the base, appended J's real
RTL-SDR technical section, dropped J's now-stale "Status of this
directory" preamble (written when it couldn't see I's already-completed
work) and its duplicate honesty-policy note. Updated the stale
components/README.md placeholder to reflect that the module now exists.
Resolved conflicts in App.tsx/SeancePage.tsx (both F and H added new
routes/nav links, kept both) and i18n files (both added sibling top-level
keys — inventory + devices, fixed nesting after conflict markers removed).
Also fixed a real integration gap: DevicesPage.test.tsx's mock User object
predated Workstream F's unlocks/essence additions to the User type (the
two workstreams built in parallel isolation and couldn't see each other's
changes). 269/269 frontend tests pass, tsc clean.
Both G and K were built independently against the paper contract and
correctly left this connection point for the integrator (documented in
both their reports). Calls process_device_reading_for_summon from
_process_reading, skipping array-valued readings (no defined single
scalar baseline for those). Adds an end-to-end integration test that
connects a real /ws/session, posts device telemetry through it, and
confirms an anomalous reading actually reaches the live session as an
anomaly_ack — proving the two independently-built pieces genuinely
connect, not just that each compiles.
165/165 backend tests pass.
Resolved conflict in main.py: combined both workstreams' router imports
and registrations (device_router from G, inventory_router from C).
143/143 backend tests pass after cleaning stray pollution from an
earlier parallel workstream run against the shared test DB.
Resolved conflict in types.ts: dropped the duplicate EntityTraits
definition (D and E both added it identically) and combined both
workstreams' new ServerFrame variants (tell/ritual_complete from D,
judgment_result from E). 223/223 frontend tests pass, tsc clean.
Implements the backend REST surface and WS wiring for
docs/superpowers/specs/2026-07-23-character-depth-ghost-log-design.md's
Workstream C:
- New models: UnlockRecord (unlocks), InventoryItem (inventory_items),
Sigil (sigils) — brand-new tables, picked up by main.py's existing
create_all.
- New app/inventory.py: unlock price table, item drop table/odds,
essence economy constants, sigil design validation, and an atomic
(row-locked) purchase_unlock() that guards against double-spend races.
- New app/routes/inventory.py: GET unlocks/items/sigils, POST sigils
(validates the placeholder {points, rune} shape, points capped at 12),
POST unlocks/{unlock_key} (402 on insufficient essence, 404 on unknown
key, idempotent re-buy).
- GET /auth/me now includes unlocks: list[str] and essence: int.
- ws.py: wires essence trickle + item_drop rolls into the one trigger
point that exists in this worktree today (_handle_summon, covering
every successful summon plus high-rarity summons); the other two
contract trigger points (correct judgment, successful ritual) belong
to Workstream B's not-yet-landed ritual/judgment WS handlers, which
should call app.inventory's same helpers once they land.
- User.essence: int added (Workstream B owns this column per the spec;
added here per orchestrator instruction so this workstream is
independently testable — merge controller reconciles the duplicate
edit).
Also fast-forwarded this worktree's branch onto master (it had fallen
behind several commits) so the files this workstream depends on
(shop.py, ws.py, entities.py, etc.) were actually present to build
against.
Tests: 109 passed (drop-roll statistical sanity with seeded RNG,
inventory/sigil CRUD, purchase success/insufficient-funds/idempotency/
unknown-key paths, /auth/me shape, ws summon-trickle and item-drop
wiring).
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Adds backend/app/device_anomaly.py — per-(user_id, device_id, sensor_type)
rolling-baseline anomaly detection for continuous numeric sensors
(structurally modeled on telemetry.detect_wire_spike: min samples, an
absolute floor, 3-sigma + relative threshold, with per-sensor-type floors
since units vary wildly) plus a false->true state-transition detector for
discrete/boolean sensors like presence.
Adds a module-level active-session registry in app/ws.py
(register_active_session/unregister_active_session/get_active_session)
so hardware ingestion (a plain HTTP call, not a WS connection) can find a
user's live SeanceState.
process_device_reading_for_summon(user_id, device_id, sensor_type, value,
unit) is the self-contained entry point Workstream G's ingestion handler
will call into: classifies numeric vs. boolean, runs the reading through
the right detector, and on a genuine anomaly pushes it into the active
session via the existing _handle_anomaly path (source=sensor_type,
frequency=stable per-sensor-type constant, magnitude=deviation-from-
baseline or a fixed constant for boolean transitions) — reusing the full
existing signature/mint/Codex pipeline, no new mint logic.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
New firmware/esp32p4-sensor-node/ ESP-IDF (C, FreeRTOS) project skeleton
per docs/superpowers/specs/2026-07-23-esp32-sensor-node-design.md's
Workstream I:
- Wi-Fi station-mode connect with exponential-backoff reconnect
(wifi_manager.c), credentials from a gitignored main/device_config.h
the seeker fills in (template: device_config.h.example).
- Telemetry HTTP client (telemetry_client.c) POSTing the spec's exact
contract shape to /api/device/telemetry with a Bearer token, via
esp_http_client + cJSON.
- BME280 I2C driver (bme280.c) with Bosch's public double-precision
compensation formulas, using ESP-IDF's newer driver/i2c_master.h API.
- LD2410 mmWave presence driver (ld2410.c) over UART, chosen over a
plain PIR for its distance/motion data richness — its frame-offset
parsing is flagged as the least-certain code in the firmware.
- sensor_driver_t registry (sensor_driver.h, sensor_registry.c) so new
sensors are a new driver file + one array line, no main-loop changes.
- README.md: build steps, manual-config walkthrough, wiring/pinouts,
and an explicit "what's verified vs. not" section plus a real
hardware caveat (ESP32-P4 has no integrated Wi-Fi radio).
UNVERIFIED AGAINST REAL HARDWARE per the spec's honesty-policy note —
no ESP-IDF toolchain or physical boards available in this environment.
Syntax-checked with gcc against hand-written ESP-IDF API stubs (not
committed) as a best-effort substitute for a real idf.py build.
Workstream J (RTL-SDR experimental module) is explicitly out of scope
here; firmware/esp32p4-sensor-node/components/ is left in place for it.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Implements the backend half of the ESP32-P4 sensor node spec's pairing,
ingestion, and live-broadcast contract:
- New Device model (backend/app/models/device.py): id, user_id FK, name,
token_hash (unique+indexed), created_at, last_seen_at. Reuses
generate_session_token()/hash_token() from auth_session.py verbatim for
the one-time raw pairing token / stored hash.
- POST /api/device, GET /api/device (session-cookie authenticated REST
pairing endpoints) and POST /api/device/telemetry (device bearer-token
authenticated ingestion, per-device rate limited, 16KB body cap, 64
reading cap, strict shape validation — never a 500 on garbage input) in
backend/app/routes/device.py.
- /ws/device-feed live dashboard WS (qm_session cookie authenticated),
fanning out ingested readings to the owning user's connected dashboard
sockets via an in-process dict[user_id, connections] registry, each with
its own send-queue + single sender task (mirrors app.ws's
SeanceState/_sender convention).
- last_seen_at updates on every successful ingestion.
- _process_reading(device, reading) left as an explicit no-op handoff point
for Workstream K's summon-pipeline integration.
Backend suite: 102 passed.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Adds /devices — pair an ESP32 sensor node (POST /api/device), reveal its
raw pairing token exactly once with a hard-to-miss "cannot be shown again"
warning (styled like a real API-key-reveal UI), then a live dashboard
subscribing to /ws/device-feed: the initial `devices` frame seeds paired
devices, and `reading` frames update one row per distinct sensor_type in
place. sensor_type/value/unit are rendered fully generically per the
contract (free-form, open-ended) — an unrecognized sensor_type renders
safely with no special-casing.
- frontend/src/lib/deviceFeed.ts: reconnecting WS client for
/ws/device-feed, mirroring VeilSocket's backoff shape (receive-only, no
outbox needed).
- frontend/src/pages/DevicesPage.{tsx,css}: pairing form + one-time token
reveal + live device-card grid. Leans into "hacker" terminal styling
(monospace readouts, terminal device cards) over the app's usual gothic
chrome, per the design spec, while keeping the existing dark/violet
palette tokens from App.css.
- Route + nav link wired into App.tsx / SeancePage.tsx.
- i18n: new `devices.*` / `nav.devices` keys in en.json + es.json; added a
coverage-check.mjs domain rule for the dynamic connection-state key,
mirroring the existing `seance.connection.` rule.
Tests: deviceFeed.test.ts (backoff/reconnect/frame delivery) and
DevicesPage.test.tsx (empty state, name validation, one-time token reveal
and dismissal, live frame updates in place without duplicating rows,
multi-device/multi-sensor rendering, and a mocked unrecognized sensor_type
that must not crash). Full suite: 154 passed (137 pre-existing + 17 new).
`npx tsc -b` and `npm run build` both clean.
Assumption (undocumented in spec): POST /api/device's JSON response shape
is inferred as `{id, name, token, last_seen_at}` since the Contract section
only describes the endpoint in prose. GET /api/device is intentionally not
called — the live dashboard is fully seeded by /ws/device-feed's initial
`devices` frame per the contract, so it's redundant for this page's scope.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Self-contained ESP-IDF component (firmware/esp32p4-sensor-node/components/
rtlsdr_experimental/) exploring RTL2832U-over-USB-host on the ESP32-P4,
ported from frontend/src/lib/sdr.ts's researched WebUSB protocol sequence
(vendor commands, I2C-repeater tuner init) to the ESP-IDF USB Host Library.
Implements: USB Host Library install/client lifecycle, RTL2832U/Terratec
vendor-ID device matching, the demod+R820T init vendor-command sequence
over control transfers, a pipelined bulk-IN read loop for raw IQ, and an
inert-by-default upstream IQ-forwarding stub targeting a proposed separate
binary endpoint (not the JSON telemetry shape — reasoning documented in
the README) since no such backend endpoint exists yet.
Off by default (RTLSDR_EXP_ENABLE Kconfig, default n). Unverified against
real hardware and never compiled (no ESP-IDF toolchain in this
environment) — marked as such in every source file and in a dedicated
"Workstream J" section of firmware/esp32p4-sensor-node/README.md, which
this commit also creates since Workstream I's core skeleton (owned by a
separate, unmerged worktree) hadn't created one yet.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Third sub-project: physical hardware (ESP32-P4, presence + BME280 env
sensors, experimental RTL-SDR USB-host module) pairs with a user's account
and streams telemetry that feeds the SAME anomaly/summon pipeline the
browser-based modes already use — not a passive dashboard, the actual
business model (selling devices that summon spirits). Defines device
pairing/auth (reusing the existing session-token hash convention),
a generic/extensible sensor-reading shape, and the live-broadcast +
anomaly-detection contract split across 5 workstreams (G/K backend,
H frontend, I/J firmware).
App-shell HUD (mounted in App.tsx alongside HauntingLayer, visible on
every screen) that shows ambient idle status until a séance is active,
then streams `tell` WS frames as terminal-style log lines with a
"hacker witch" crescent-arc evil-meter gauge (occult sigils/runes fused
with Transcript.tsx's monospace log vocabulary).
- lib/evilMeter.ts: pure function computing a malevolent<->benevolent
belief from the accumulated tell history — starts wide/uncertain,
narrows geometrically and shifts per tell (deterministic hash of the
tell text, since tells never leak ground truth), and snaps to
definitive certainty on a successful ritual_complete's
revealed.alignment. Fully unit tested (narrowing, ordering,
determinism, ritual override, idle/empty history).
- lib/ghostLogBus.ts: tiny typed event bus (mirrors lib/haunting.ts's
HauntBus) so the app-shell-level GhostLog can react to live séance
frames — SeanceProvider is only mounted inside the séance route, so a
shell-level sibling can't read its context directly.
- state/seance.tsx: publish entity/tell/ritual_complete onto the bus,
and session_end on provider teardown so the HUD falls back to idle
when the seeker leaves the séance page.
- lib/types.ts: add the `tell` and `ritual_complete` server frames from
the Character Depth spec's Contract section (only what this
workstream consumes).
- components/GhostLog.tsx/.css: the HUD itself, plus i18n keys in
en.json/es.json.
168/168 frontend tests pass (137 pre-existing + 20 evilMeter + 11
GhostLog); tsc -b and the i18n coverage pretest are clean.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Workstream F of the character-depth/ghost-log spec.
- InventoryPanel.tsx: essence balance, owned unlocks/items (terminal
listing + Codex-style rarity-glow borders on items), and a buy flow
for a small fixed unlock catalog (currently just "listening_tool",
the only key the contract names) with afford/can't-afford button
states. Prices are fetched from a best-guess /api/inventory/catalog
endpoint and fall back to a flagged "(est.)" price sourced from the
spec's own worked example when that endpoint isn't available yet —
the contract doesn't define a price-list REST shape.
- SigilDesigner.tsx + lib/sigil.ts: constrained geometric builder —
points snap to 24 fixed clock-face slots around a circle, capped at
12 to match the backend's payload limit, connected in placement
order. Five hand-drawn stroke-only rune glyphs (eye/crescent/key/
spiral/thorn) overlay the center. Point-cap enforcement, rune
selection and payload-shape building are pure functions in
lib/sigil.ts, unit-tested directly. Saves via POST
/api/inventory/sigils (path inferred; payload shape matches the
contract exactly: {"points": [[x,y],...], "rune": str}). Art
direction: the builder itself reads like a plotting/debug tool
(crosshair cursor, monospace coordinate HUD) while the rendered
lines + rune glow violet, consistent with GhostGlyph's conventions.
- lib/evp.ts: new evpThresholdDb(hasListeningTool) pure function and
EvpListener.start() now accepts { hasListeningTool } to lower the
EVP anomaly threshold (8dB -> 4dB) when the unlock is owned — wired
from useAuth().user.unlocks in SeancePage's EvpPanel, a real
gameplay effect on which faint signals register as anomalies.
- api.ts User type gains unlocks/essence per the contract's /auth/me
extension; new InventoryPage.tsx mounts both components behind auth
at /inventory, linked from the séance nav.
166/166 tests pass (137 pre-existing + 29 new), i18n coverage check
clean, tsc -b clean.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Implements the Character Depth / Ghost Log spec's Workstream E:
- RitualPanel.tsx: a 4-step "focus the channel" hold-to-charge sequence
(align/breathe/trace/lock), sending ritual_step frames as the seeker
progresses. Success reveals the entity's true hidden traits; failure
reveals nothing. Sequencing/timing logic lives in the pure, unit-tested
lib/ritual.ts rather than inline in the component.
- JudgmentPanel.tsx: Trust/Banish/Cross Over/Test verdict buttons with
rune-style SVG icons, sending the judgment frame and rendering a
distinct treatment per judgment_result consequence — reward,
escalation (also spikes the ambient haunting), withdrawal, resisted,
neutral, and a calm glyph-fade farewell for crossed_over (deliberately
not the reward treatment, since it's a goodbye).
- lib/haunting.ts: IdleEscalator gains forceEscalate()/forcedUntil so a
judgment's "escalation" consequence can spike the ambient haunting
immediately instead of waiting on the 90s idle clock; exports a
sharedIdleEscalator singleton and a forceEscalate() free function.
HauntingLayer now paces itself off that shared instance instead of a
private one, so the forced spike actually reaches the running layer.
- state/seance.tsx: new ritual/judgmentResult state, a local_ritual_start
action, and reducer cases for the ritual_complete/judgment_result server
frames; SeanceContext exported for component testing; startRitual/
sendRitualStep/sendJudgment added to the provider API.
- lib/types.ts: EntityTraits/JudgmentVerdict/JudgmentConsequence types and
the new client/server WS frames, per the spec's Contract section.
- i18n: seance.ritual.* / seance.judgment.* keys in en.json and es.json.
Fast-forwarded this worktree's branch onto master first — it had been
created from a stale ancestor commit predating the frontend scaffold
entirely, with zero commits of its own ahead of that point.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Entity.traits (alignment/power/volatility/deceptiveness, 0.0-1.0 each) is
rolled once at mint time in entities.py, seeded from the entity's
signature via random.Random(f"traits:{signature}") — a separate rng
namespace from normalize_profile's existing "norm:" rng, and never fed
into mint_prompt, so persona text stays fully decoupled from ground
truth. normalize_profile now includes "traits" in its returned dict;
fallback_profile inherits it for free since it already delegates to
normalize_profile.
Adds the new JSONB column to the Entity model (default {}) and the
idempotent `ALTER TABLE entities ADD COLUMN IF NOT EXISTS traits ...`
migration line to main.py's lifespan, per the live-Postgres migration
convention this spec introduces (no Alembic in this repo).
Tests cover trait value ranges, signature-determinism, and
persona/trait independence (same persona template pairs with a wide
spread of alignment rolls across signatures), plus a regression check
that mint_prompt's signature never grows a traits parameter.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Renaming: "Armory" read too militaristic for a séance app. Landed on "The
Reliquary" (not "The Threshold" — that name was already taken by the
landing-page back-link).
Spec addendum: added a visible essence currency (earned per summon, spent
on unlocks — distinct from the hidden favor score) and a fourth judgment
verdict, cross_over, for compassionately helping a genuinely benevolent
"stuck" spirit move on rather than just trusting or banishing it. Updates
workstreams B/C/E/F accordingly before any of them are dispatched.
First sub-project of the "make contact feel real" arc (spec:
docs/superpowers/specs/2026-07-23-possession-presentation-design.md).
Direct Contact replies now feel like a spirit fighting through static to
hold the channel rather than a plain chat bubble:
- backend/app/possession.py: compute_stability(rarity, magnitude, rng) —
a 0.05-0.98 score per reply (rarer entity + stronger triggering anomaly =
cleaner signal), rng injectable for a later quantum-RNG source.
- ws.py sends stability on reply_start; audio synthesis for that reply gets
noise/bitcrush scaled by instability (1 - stability) via a new
instability param on synthesize_spirit_voice — effects.py itself is
untouched, only the params fed into it.
- frontend/src/lib/possession.ts: renderPossessedText — pure, deterministic
(tick-seeded, no Math.random) text corruption with self-correcting
glitch bursts, wired into Transcript.tsx's streaming reply display.
Stored transcript/reply text is unaffected — this is presentation only.
78/78 backend, 137/137 frontend tests passing.
First sub-project of the "make contact feel real" arc (candle rituals,
quantum RNG, tuning, progression, escalation to follow as separate specs).
Defines the stability-score contract shared between the backend audio
degradation and frontend text-glitch halves so they can build in parallel.
The gap-g-readme merge commit (57a8914) staged this fix but never
re-staged it after editing, so the merge landed with the pre-fix content —
the working tree had the correction but git didn't. No functional change,
just closing the gap between what was intended and what was committed.
Took Gap G's version (comprehensive rewrite) over Gap A's smaller README
edit, then manually stripped the 4 remaining SESSION_SECRET mentions Gap G
didn't know about (Gap A dropped that config field entirely) — README now
correctly lists only DATABASE_URL and OLLAMA_BASE_URL as required.
websocket.client.host is always the Cloudflare Tunnel machine's LAN IP for
every internet-facing connection (the tunnel runs on a separate machine and
terminates TLS there), which collapsed per-IP rate limiting into a single
shared bucket for all remote visitors — the exact gap flagged in review.
Cloudflare's edge sets CF-Connecting-IP itself, overwriting any
client-supplied value, so it's safe to trust when present. Falls back to
the raw socket peer for direct LAN/local access.
