feat: ritual + judgment + favor + cross-over (Workstream B)

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>

backend/app/judgment.py

@@ -0,0 +1,315 @@
+"""Ritual + judgment: pure logic for Workstream B of the Character Depth /
+Ghost Log spec
+(docs/superpowers/specs/2026-07-23-character-depth-ghost-log-design.md).
+
+No I/O, no DB, no network — every function here takes plain values (and an
+optional injectable `random.Random`) and returns plain values, so the whole
+module is trivially unit-testable in isolation. `backend/app/ws.py`'s
+`ritual_start`/`ritual_step`/`judgment` WS handlers are the only place these
+outputs get persisted or sent over the wire.
+"""
+
+from __future__ import annotations
+
+import random
+from dataclasses import dataclass
+
+from app.inventory import CORRECT_JUDGMENT_ESSENCE, CROSS_OVER_ESSENCE
+
+# --- favor -------------------------------------------------------------
+
+FAVOR_MIN = -1.0
+FAVOR_MAX = 1.0
+
+
+def clamp_favor(value: float) -> float:
+    """Clamps a `User.favor` value to [-1.0, 1.0] — call this at every write
+    site, per the spec's Contract section."""
+    return max(FAVOR_MIN, min(FAVOR_MAX, value))
+
+
+# --- ritual --------------------------------------------------------------
+
+# Rituals should feel doable most of the time — this is a short rite in
+# front of judgment, not a grindy gate. A highly resistant entity (high
+# `power` *and* high `deceptiveness` — strong and cagey) drags the odds
+# down, floored so even the worst-case entity stays beatable on a retry
+# rather than a hard wall.
+RITUAL_BASE_SUCCESS_CHANCE = 0.65
+RITUAL_MIN_SUCCESS_CHANCE = 0.30
+RITUAL_DIFFICULTY_SWING = RITUAL_BASE_SUCCESS_CHANCE - RITUAL_MIN_SUCCESS_CHANCE
+
+
+def roll_ritual_success(traits: dict, rng: random.Random | None = None) -> bool:
+    """One ritual attempt's pass/fail roll.
+
+    `traits` is the entity's hidden truth dict (`alignment`/`power`/
+    `volatility`/`deceptiveness`). Only `power` and `deceptiveness` affect
+    the odds — a strong, cagey spirit is the hardest to get an accurate
+    read on. `volatility` is deliberately left out: it's about how *noisy*
+    the entity's ambient tells are, a separate axis from whether a focused
+    ritual can pin it down. `alignment` is also left out — letting it
+    influence pass/fail would telegraph ground truth (easier ritual =
+    probably benevolent) before `ritual_complete` is supposed to reveal
+    anything, undermining the "judge blind or judge informed" choice the
+    contract is built around.
+
+    `rng` defaults to a fresh, unseeded `random.Random()` — deliberately
+    *not* signature-seeded like `entities.roll_traits`: a seeker can retry
+    the same entity's ritual repeatedly (`RitualPanel`'s "attempt again"),
+    and each attempt needs genuine variance, not a fixed pass/fail baked
+    into the entity's identity.
+    """
+    rng = rng if rng is not None else random.Random()
+    power = float(traits.get("power", 0.5))
+    deceptiveness = float(traits.get("deceptiveness", 0.5))
+    difficulty = (power + deceptiveness) / 2.0  # 0..1
+    chance = RITUAL_BASE_SUCCESS_CHANCE - RITUAL_DIFFICULTY_SWING * difficulty
+    chance = max(RITUAL_MIN_SUCCESS_CHANCE, min(RITUAL_BASE_SUCCESS_CHANCE, chance))
+    return rng.random() < chance
+
+
+# --- "stuck spirit" rule for cross_over -----------------------------------
+
+# "Genuinely benevolent" mirrors the correct-trust threshold used below.
+# "Reads as stuck" is modeled as above-average volatility: the existing
+# fallback personas already lean on "died with something unfinished" themes
+# (see entities.py's _PERSONA_TEMPLATES), and an unresolved spirit is
+# exactly the kind whose behavioral tells would plausibly be noisy/
+# inconsistent rather than settled, rather than tying "stuck" to a whole
+# separate hidden dimension. 0.6 (vs. the 0.5 midpoint) keeps "stuck" a
+# meaningfully above-average band rather than a coinflip: with both
+# `alignment` and `volatility` rolled uniform(0, 1) independently,
+# P(alignment >= 0.5) * P(volatility > 0.6) = 0.5 * 0.4 = 20% of all
+# entities qualify — special enough to justify the single largest reward
+# in the game (see CROSS_OVER_ESSENCE / FAVOR_CORRECT_CROSS_OVER) without
+# being so rare it never comes up.
+BENEVOLENT_ALIGNMENT_THRESHOLD = 0.5
+STUCK_VOLATILITY_THRESHOLD = 0.6
+
+
+def is_stuck_spirit(traits: dict) -> bool:
+    alignment = float(traits.get("alignment", 0.5))
+    volatility = float(traits.get("volatility", 0.5))
+    return (
+        alignment >= BENEVOLENT_ALIGNMENT_THRESHOLD
+        and volatility > STUCK_VOLATILITY_THRESHOLD
+    )
+
+
+# --- judgment --------------------------------------------------------------
+
+# Favor deltas: small, single-digit-percent nudges of the [-1, 1] range (a
+# 2.0-wide band) — the caller always re-clamps via `clamp_favor`.
+#
+# Wrong-trust is punished harder than wrong-banish: trusting something that
+# turns out malevolent is the reckless failure mode with real in-fiction
+# consequences (the haunting escalates), while a wrong banish is merely
+# over-cautious — you turned away something harmless, nothing lashes back.
+# Correct cross_over pays the best favor *and* essence of any outcome,
+# matching the contract's "largest essence reward of any outcome" language
+# with an equivalently generous favor nudge: it's the hardest-to-spot,
+# most compassionate correct call a seeker can make.
+FAVOR_CORRECT_TRUST = 0.05
+FAVOR_CORRECT_BANISH = 0.05
+FAVOR_WRONG_TRUST = -0.10
+FAVOR_WRONG_BANISH = -0.05
+FAVOR_CORRECT_CROSS_OVER = 0.08
+FAVOR_CROSS_OVER_FAIL = 0.0  # a naive read, not a reckless one — no penalty
+FAVOR_TEST = 0.0  # a diagnostic pulse only — nothing risked, nothing gained
+
+VERDICTS = ("trust", "banish", "test", "cross_over")
+
+
+@dataclass(frozen=True)
+class JudgmentOutcome:
+    correct: bool
+    favor_delta: float
+    essence_delta: int
+    at_peace: bool
+    consequence: str  # "reward" | "escalation" | "withdrawal" | "crossed_over" | "resisted" | "neutral"
+
+
+def judge_verdict(
+    verdict: str,
+    traits: dict,
+    *,
+    ritual_completed: bool = False,
+    ritual_success: bool = False,
+) -> JudgmentOutcome:
+    """Resolves one `judgment` frame against the entity's hidden truth.
+
+    `correct` per the contract: trust called on real alignment >= 0.5, or
+    banish called on alignment < 0.5, or cross_over called on a genuinely
+    "stuck" spirit (see `is_stuck_spirit`). `cross_over` on anything else
+    (a demon, or a benevolent-but-not-stuck spirit that simply isn't ready
+    to move on) resists — "resisted" covers both: neither is a reckless
+    misread the way a wrong trust/banish is, so neither costs favor.
+    `test` never touches favor/essence; its `correct` reflects whether a
+    completed-this-session ritual actually surfaced true information (no
+    completed ritual, or a failed one, means the diagnostic has nothing
+    real to go on).
+    """
+    if verdict not in VERDICTS:
+        raise ValueError(f"unknown verdict: {verdict!r}")
+
+    alignment = float(traits.get("alignment", 0.5))
+    benevolent = alignment >= BENEVOLENT_ALIGNMENT_THRESHOLD
+
+    if verdict == "trust":
+        if benevolent:
+            return JudgmentOutcome(
+                True, FAVOR_CORRECT_TRUST, CORRECT_JUDGMENT_ESSENCE, False, "reward"
+            )
+        return JudgmentOutcome(False, FAVOR_WRONG_TRUST, 0, False, "escalation")
+
+    if verdict == "banish":
+        if not benevolent:
+            return JudgmentOutcome(
+                True, FAVOR_CORRECT_BANISH, CORRECT_JUDGMENT_ESSENCE, False, "reward"
+            )
+        return JudgmentOutcome(False, FAVOR_WRONG_BANISH, 0, False, "withdrawal")
+
+    if verdict == "cross_over":
+        if is_stuck_spirit(traits):
+            return JudgmentOutcome(
+                True, FAVOR_CORRECT_CROSS_OVER, CROSS_OVER_ESSENCE, True, "crossed_over"
+            )
+        return JudgmentOutcome(False, FAVOR_CROSS_OVER_FAIL, 0, False, "resisted")
+
+    # verdict == "test"
+    correct = bool(ritual_completed and ritual_success)
+    return JudgmentOutcome(correct, FAVOR_TEST, 0, False, "neutral")
+
+
+# --- favor read-back bias on trait rolls ------------------------------------
+
+# `entities.roll_traits` stays a pure, signature-seeded function with no
+# session/user awareness (Workstream A's design — see the "roll_traits
+# doesn't take a bias/rng parameter" check in ws.py's minting path). This is
+# applied instead as a post-processing nudge, called from `app.ws._summon`
+# right after a *new* entity's profile is minted, using the discovering
+# user's current favor.
+#
+# It's applied once, at mint time, not per-viewing-session: the nudged
+# traits become that entity's permanent, shared ground truth in the Codex
+# (the same spirit reads the same way to every future seeker who contacts
+# it). That matches the contract's "read back to mildly bias future summon
+# trait rolls" framing — favor shapes what a seeker tends to *conjure*,
+# not a private lens they view existing spirits through.
+#
+# Effect size is deliberately small and verifiable: at most a 0.12 shift at
+# |favor| == 1.0, linear in between, applied only to volatility/
+# deceptiveness (the two "how legible is this entity" axes) — alignment and
+# power are left untouched so favor nudges readability, not who a spirit
+# fundamentally is.
+FAVOR_TRAIT_BIAS_MAX = 0.12
+_BIASED_TRAIT_KEYS = ("volatility", "deceptiveness")
+
+
+def apply_favor_bias(traits: dict, favor: float) -> dict:
+    """Higher favor nudges volatility/deceptiveness down (more legible
+    entities); lower favor nudges them up. Returns a new dict; clamps each
+    nudged value back into [0.0, 1.0]."""
+    favor = clamp_favor(favor)
+    shift = -FAVOR_TRAIT_BIAS_MAX * favor
+    biased = dict(traits)
+    for key in _BIASED_TRAIT_KEYS:
+        if key in biased:
+            biased[key] = max(0.0, min(1.0, float(biased[key]) + shift))
+    return biased
+
+
+# --- tells -----------------------------------------------------------------
+
+# Flavor text describing *behavior*, never a stat number (per the contract
+# and frontend/src/lib/evilMeter.ts's comments on how tells are consumed) —
+# each line hints at one trait dimension without naming it. Picking one
+# trait per call (rather than always the most extreme) keeps tells varied
+# session to session even for the same entity; the high/low/neutral banding
+# means a middling trait still produces a plausible, non-committal line
+# instead of always screaming its most extreme dimension.
+_TELL_LINES: dict[str, dict[str, tuple[str, ...]]] = {
+    "alignment": {
+        "high": (
+            "a warmth threads through the static, unmistakably kind.",
+            "it seems to want nothing more than to be heard.",
+            "the presence feels gentle, almost grateful for the company.",
+        ),
+        "low": (
+            "something cold coils under the words.",
+            "you feel watched, not accompanied.",
+            "the air around the signal turns unfriendly.",
+        ),
+        "neutral": (
+            "hard to say if it means well.",
+            "the intent behind it stays unreadable.",
+        ),
+    },
+    "power": {
+        "high": (
+            "the signal surges, straining the line.",
+            "it pushes back against the questions, strong-willed.",
+        ),
+        "low": (
+            "the presence feels thin, easily startled.",
+            "it flickers at the edge of hearing.",
+        ),
+        "neutral": (
+            "steady, unremarkable strength.",
+            "neither weak nor overwhelming.",
+        ),
+    },
+    "volatility": {
+        "high": (
+            "the tone lurches without warning.",
+            "it contradicts itself within the same breath.",
+            "the signal keeps slipping out from under itself.",
+        ),
+        "low": (
+            "calm, consistent, almost rehearsed.",
+            "every answer lands the same measured way.",
+        ),
+        "neutral": (
+            "mostly steady, with the odd hitch.",
+            "a little uneven, nothing alarming.",
+        ),
+    },
+    "deceptiveness": {
+        "high": (
+            "the entity avoided a direct question.",
+            "an answer arrives that doesn't quite fit what was asked.",
+            "something about the reply feels rehearsed, not remembered.",
+        ),
+        "low": (
+            "it answers plainly, almost bluntly.",
+            "nothing about the reply feels rehearsed.",
+        ),
+        "neutral": (
+            "the reply seems straightforward enough.",
+            "no obvious dodge, no obvious tell.",
+        ),
+    },
+}
+
+_TELL_TRAIT_KEYS = tuple(_TELL_LINES.keys())
+TELL_HIGH_THRESHOLD = 0.6
+TELL_LOW_THRESHOLD = 0.4
+
+
+def generate_tell(traits: dict, rng: random.Random) -> str:
+    """Picks one trait dimension at random and returns a short, opaque
+    flavor line hinting at it (never the raw number). `rng` should be a
+    per-session `random.Random` so a given session's tell sequence is
+    varied but the choice of *which* call sites emit a tell stays the
+    caller's (ws.py's) responsibility."""
+    trait_key = rng.choice(_TELL_TRAIT_KEYS)
+    value = float(traits.get(trait_key, 0.5))
+    bank = _TELL_LINES[trait_key]
+    if value >= TELL_HIGH_THRESHOLD:
+        pool = bank["high"]
+    elif value <= TELL_LOW_THRESHOLD:
+        pool = bank["low"]
+    else:
+        pool = bank["neutral"]
+    return rng.choice(pool)

backend/app/main.py

@@ -54,6 +54,13 @@ async def lifespan(app: FastAPI):
         await conn.execute(text(
             "ALTER TABLE entities ADD COLUMN IF NOT EXISTS traits JSONB NOT NULL DEFAULT '{}'::jsonb"
         ))
+        # Workstream B (character-depth-ghost-log spec).
+        await conn.execute(text(
+            "ALTER TABLE users ADD COLUMN IF NOT EXISTS favor DOUBLE PRECISION NOT NULL DEFAULT 0.0"
+        ))
+        await conn.execute(text(
+            "ALTER TABLE entities ADD COLUMN IF NOT EXISTS at_peace BOOLEAN NOT NULL DEFAULT false"
+        ))
     cleanup_task = asyncio.create_task(_session_cleanup_loop())
     try:
         yield

backend/app/models/entity.py

@@ -1,7 +1,7 @@
 import uuid
 from datetime import datetime, timezone
 
-from sqlalchemy import DateTime, ForeignKey, Integer, String, Text
+from sqlalchemy import Boolean, DateTime, ForeignKey, Integer, String, Text
 from sqlalchemy.dialects.postgresql import JSONB
 from sqlalchemy.orm import Mapped, mapped_column
 
@@ -27,6 +27,12 @@ class Entity(Base):
     traits: Mapped[dict] = mapped_column(JSONB, default=dict)
     sample_quotes: Mapped[list] = mapped_column(JSONB, default=list)
     contact_count: Mapped[int] = mapped_column(Integer, default=0)
+    # Workstream B (character-depth-ghost-log spec): set true when a seeker
+    # correctly helps a genuinely benevolent, "stuck" spirit cross over. The
+    # row is never deleted (memorialized in the Codex permanently) but
+    # `signature_from_anomalies` re-contact in app.ws._summon skips it and
+    # mints a fresh entity instead.
+    at_peace: Mapped[bool] = mapped_column(Boolean, default=False)
     discovered_by: Mapped[uuid.UUID | None] = mapped_column(
         ForeignKey("users.id"), nullable=True
     )

backend/app/models/user.py

@@ -1,7 +1,7 @@
 import uuid
 from datetime import datetime, timezone
 
-from sqlalchemy import DateTime, Integer, String
+from sqlalchemy import DateTime, Float, Integer, String
 from sqlalchemy.orm import Mapped, mapped_column
 
 from app.db import Base
@@ -14,13 +14,12 @@ class User(Base):
     username: Mapped[str] = mapped_column(String(32), unique=True, index=True)
     password_hash: Mapped[str] = mapped_column(String(255))
     email: Mapped[str | None] = mapped_column(String(255), nullable=True)
-    # NOTE: owned by Workstream B in the character-depth-ghost-log spec
-    # (docs/superpowers/specs/2026-07-23-character-depth-ghost-log-design.md).
-    # Added here so Workstream C (unlocks/items/sigils/drops) can build and
-    # test against it in isolation; the merge controller reconciles this
-    # against Workstream B's own edit to this file (which will also add
-    # `favor: float` per the spec's Contract section).
     essence: Mapped[int] = mapped_column(Integer, default=0)
+    # Workstream B (character-depth-ghost-log spec): hidden per-user score,
+    # nudged by judgment correctness, clamped to [-1.0, 1.0] everywhere it's
+    # written (see app.judgment.clamp_favor). Read back as a small bias on
+    # new entities' trait rolls at mint time (app.judgment.apply_favor_bias).
+    favor: Mapped[float] = mapped_column(Float, default=0.0)
     created_at: Mapped[datetime] = mapped_column(
         DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
     )

backend/app/ws.py

@@ -8,6 +8,10 @@ Protocol (client → server):
   {"type": "anomaly", "source": SRC, ...}   → {"type": "utterance", ...}
   {"type": "question", "text": "..."}       → reply_start / reply_token* / reply_end
   {"type": "passive", "enabled": bool}      → ambient wire loop on/off
+  {"type": "ritual_start"}                  → (begins a ritual attempt)
+  {"type": "ritual_step", "step": <int>}    → (on the final step) ritual_complete
+  {"type": "judgment", "verdict": "trust" | "banish" | "test" | "cross_over"}
+                                             → judgment_result
 
 All server → client frames flow through a single sender task so concurrent
 producers (ambient loop, reply streaming, TTS callbacks) never interleave on
@@ -26,11 +30,18 @@ from pathlib import Path
 from fastapi import APIRouter, WebSocket, WebSocketDisconnect
 from sqlalchemy import select
 
+from app import judgment
 from app.config import settings
 from app.db import async_session_maker as _default_session_maker
 from app.deps import SESSION_COOKIE_NAME
 from app.entities import fallback_signature, signature_from_anomalies
-from app.inventory import SUMMON_ESSENCE_TRICKLE, credit_essence, roll_item_drop, summon_drop_trigger
+from app.inventory import (
+    RITUAL_SUCCESS_ESSENCE,
+    SUMMON_ESSENCE_TRICKLE,
+    credit_essence,
+    roll_item_drop,
+    summon_drop_trigger,
+)
 from app.llm.service import SpiritBusyError, spirit_service
 from app.models.auth_session import AuthSession, hash_token
 from app.models.contact_session import ContactSession
@@ -89,6 +100,16 @@ class SeanceState:
     ambient_task: asyncio.Task | None = None
     wire_jitter_history: list[float] = field(default_factory=list)
     last_wire_anomaly_at: float = 0.0
+    # Workstream B (character-depth-ghost-log spec): ritual progress for the
+    # *current* entity — reset whenever a fresh presence is summoned (see
+    # _handle_summon) or a new ritual_start arrives.
+    ritual_steps: int = 0
+    ritual_completed: bool = False
+    ritual_success: bool = False
+    # Per-session RNG for `tell` frames — unseeded (a session's tells should
+    # vary run to run), but persistent across calls so the draw sequence
+    # isn't restarted on every single message.
+    tell_rng: random.Random = field(default_factory=random.Random)
 
 
 # Active-session registry (spec: ESP32 sensor node, Workstream K): maps a
@@ -133,9 +154,24 @@ def serialize_entity(entity: Entity) -> dict:
         "quotes": entity.sample_quotes,
         "contact_count": entity.contact_count,
         "discovered_at": entity.discovered_at.isoformat(),
+        # Workstream B: hidden ground truth, kept on the server-side
+        # SeanceState.entity dict for the ritual/judgment/tell handlers to
+        # read (state.entity["traits"]) — see `_public_entity` below for why
+        # this never reaches the wire directly.
+        "traits": entity.traits,
     }
 
 
+def _public_entity(entity: dict) -> dict:
+    """The entity payload actually sent to the client in the `entity`
+    frame — everything `serialize_entity` produces *except* `traits`.
+    Hidden traits must never leak outside `ritual_complete` on success (the
+    contract's decoupling requirement, echoed in
+    frontend/src/lib/evilMeter.ts's comments); `frontend/src/lib/types.ts`'s
+    `SpiritEntity` type correspondingly has no `traits` field."""
+    return {key: value for key, value in entity.items() if key != "traits"}
+
+
 def _client_ip(websocket: WebSocket) -> str:
     host = websocket.client.host if websocket.client else None
     return resolve_client_ip(websocket.headers, host)
@@ -237,28 +273,50 @@ async def _unique_entity_name(db, base_name: str) -> str:
 
 
 async def _summon(state: SeanceState, channel: str) -> tuple[Entity, bool]:
-    """Match this session's signature against the Codex, or mint a new entity."""
+    """Match this session's signature against the Codex, or mint a new entity.
+
+    An at-peace entity (Workstream B: a spirit correctly helped to cross
+    over) is excluded from the match — it stays in the Codex forever but
+    can't be re-contacted. If its signature is what this session's anomaly
+    pattern hashes to, a *new* entity is minted instead. `Entity.signature`
+    is unique, so the new entity can't reuse the exact same string while the
+    retired row still holds it — it gets a salted variant of the same base
+    signature instead.
+    """
     signature = signature_from_anomalies(state.anomalies) or fallback_signature(
         str(state.session_id)
     )
 
     async with session_maker() as db:
-        entity = await db.scalar(select(Entity).where(Entity.signature == signature))
+        entity = await db.scalar(
+            select(Entity).where(Entity.signature == signature, Entity.at_peace.is_(False))
+        )
         is_new = entity is None
 
         if is_new:
+            mint_signature = signature
+            retired = await db.scalar(select(Entity).where(Entity.signature == signature))
+            if retired is not None:
+                mint_signature = f"{signature}:{uuid.uuid4().hex[:8]}"
+
             profile = await spirit_service.mint_profile(
-                signature, channel, state.anomalies, state.language
+                mint_signature, channel, state.anomalies, state.language
             )
+            discoverer = await db.get(User, state.user_id)
+            favor = discoverer.favor if discoverer is not None else 0.0
             entity = Entity(
                 name=await _unique_entity_name(db, profile["name"]),
                 epithet=profile["epithet"],
                 persona=profile["persona"],
                 rarity_tier=profile["rarity"],
-                signature=signature,
+                signature=mint_signature,
                 voice_profile=profile["voice"],
                 visual_profile=profile["visual"],
                 sample_quotes=profile["quotes"],
+                # Workstream B: signature-seeded traits, nudged by the
+                # discovering user's favor (app.judgment.apply_favor_bias) —
+                # never derived from/fed into the persona above.
+                traits=judgment.apply_favor_bias(profile["traits"], favor),
                 discovered_by=state.user_id,
                 contact_count=1,
             )
@@ -286,11 +344,11 @@ async def _reward_summon(state: SeanceState) -> None:
     summon (any mode), and — only when the summoned entity is high-rarity —
     a roll for an item drop. The other two contract trigger points ("after a
     correct judgment, a successful ritual") belong to Workstream B's
-    ritual/judgment WS handlers, which don't exist in this codebase yet;
+    ritual/judgment WS handlers (`_reward_ritual_success` / `_handle_judgment`
-    `app.inventory` exposes the same `roll_item_drop`/`credit_essence`
+    below), which call the same `app.inventory` `roll_item_drop`/
-    helpers (plus the milestone essence constants) for those handlers to
+    `credit_essence` helpers and milestone essence constants so the drop
-    call once they land, so the drop table and essence economy stay in one
+    table and essence economy stay in one place instead of being
-    place instead of being duplicated."""
+    duplicated."""
     assert state.entity is not None
     rarity = state.entity.get("rarity", "common")
 
@@ -338,14 +396,39 @@ async def _handle_summon(state: SeanceState) -> None:
     await state.send_queue.put({"type": "status", "state": "summoning"})
     entity, is_new = await _summon(state, state.mode if state.mode != "unknown" else "ouija")
     state.entity = serialize_entity(entity)
+    # A fresh presence invalidates any in-progress/completed ritual from
+    # whatever was previously in this slot (mirrors the frontend reducer's
+    # 'entity' case in state/seance.tsx, which resets its own ritual/
+    # judgment UI state the same way).
+    state.ritual_steps = 0
+    state.ritual_completed = False
+    state.ritual_success = False
     await state.send_queue.put(
-        {"type": "entity", "entity": state.entity, "is_new": is_new}
+        {"type": "entity", "entity": _public_entity(state.entity), "is_new": is_new}
     )
     await _reward_summon(state)
     greeting = random.choice(state.entity["quotes"]) if state.entity["quotes"] else "I am here."
     await _speak(state, "greeting", greeting)
 
 
+# Workstream B: `tell` frames piggyback on the existing anomaly/reply
+# handling rather than running their own timer — a fragment (ambient,
+# frequent) rolls a lower chance than a direct reply (deliberate, a seeker
+# just asked something), so tells feel like they're punctuating engagement
+# rather than firing on a fixed clock.
+TELL_CHANCE_ON_FRAGMENT = 0.2
+TELL_CHANCE_ON_REPLY = 0.35
+
+
+async def _maybe_tell(state: SeanceState, chance: float) -> None:
+    if state.entity is None:
+        return
+    if state.tell_rng.random() >= chance:
+        return
+    text = judgment.generate_tell(state.entity.get("traits", {}), state.tell_rng)
+    await state.send_queue.put({"type": "tell", "text": text})
+
+
 async def _handle_anomaly(state: SeanceState, message: dict) -> None:
     anomaly = {
         "source": str(message.get("source", "unknown"))[:16],
@@ -378,6 +461,7 @@ async def _handle_anomaly(state: SeanceState, message: dict) -> None:
     except SpiritBusyError:
         return
     await _speak(state, "fragment", fragment)
+    await _maybe_tell(state, TELL_CHANCE_ON_FRAGMENT)
 
 
 async def _handle_question(state: SeanceState, text: str) -> None:
@@ -434,6 +518,7 @@ async def _handle_question(state: SeanceState, text: str) -> None:
     await state.send_queue.put({"type": "reply_end", "id": str(reply_id), "text": reply})
     if reply:
         await _speak(state, "reply", reply, instability=1 - stability)
+        await _maybe_tell(state, TELL_CHANCE_ON_REPLY)
 
 
 async def _ambient_loop(state: SeanceState) -> None:
@@ -485,6 +570,133 @@ async def _handle_passive(state: SeanceState, enabled: bool) -> None:
         await state.send_queue.put({"type": "passive", "enabled": False})
 
 
+# --- Workstream B: ritual + judgment (character-depth-ghost-log spec) ------
+
+# How many `ritual_step` frames complete one attempt — matches
+# frontend/src/lib/ritual.ts's RITUAL_TOTAL_STEPS (the 4-rune "align /
+# breathe / trace / lock" sequence). The frontend owns the exact step count
+# per the spec ("implementer's call"); this just has to agree with it.
+RITUAL_STEPS_REQUIRED = 4
+
+
+async def _handle_ritual_start(state: SeanceState) -> None:
+    if state.entity is None:
+        return  # no presence to focus on — frontend already gates the button
+    state.ritual_steps = 0
+    state.ritual_completed = False
+    state.ritual_success = False
+
+
+async def _reward_ritual_success(state: SeanceState) -> None:
+    """Mirrors `_reward_summon`'s essence-credit + item-drop pattern for the
+    ritual milestone trigger point."""
+    item = None
+    async with session_maker() as db:
+        user = await db.get(User, state.user_id)
+        if user is None:
+            return
+        credit_essence(user, RITUAL_SUCCESS_ESSENCE)
+        item = roll_item_drop("ritual")
+        if item is not None:
+            db.add(
+                InventoryItem(
+                    user_id=state.user_id,
+                    item_type=item["item_type"],
+                    item_key=item["item_key"],
+                    payload=item["payload"],
+                )
+            )
+        await db.commit()
+
+    if item is not None:
+        await state.send_queue.put({"type": "item_drop", "item": item})
+
+
+async def _handle_ritual_step(state: SeanceState, message: dict) -> None:
+    if state.entity is None or state.ritual_completed:
+        return
+    if not isinstance(message.get("step"), int):
+        return
+
+    state.ritual_steps += 1
+    if state.ritual_steps < RITUAL_STEPS_REQUIRED:
+        return
+
+    traits = state.entity.get("traits", {})
+    success = judgment.roll_ritual_success(traits)
+    state.ritual_completed = True
+    state.ritual_success = success
+    revealed = dict(traits) if success else None
+    await state.send_queue.put(
+        {"type": "ritual_complete", "success": success, "revealed": revealed}
+    )
+    if success:
+        await _reward_ritual_success(state)
+
+
+async def _handle_judgment(state: SeanceState, message: dict) -> None:
+    if state.entity is None:
+        return
+    verdict = message.get("verdict")
+    if verdict not in judgment.VERDICTS:
+        return
+
+    traits = state.entity.get("traits", {})
+    outcome = judgment.judge_verdict(
+        verdict,
+        traits,
+        ritual_completed=state.ritual_completed,
+        ritual_success=state.ritual_success,
+    )
+
+    item = None
+    # Skip the DB round-trip entirely when there's nothing to persist (e.g.
+    # `test` without a completed ritual, or a resisted cross_over) — the
+    # contract's "no crash, just no effect" for those cases.
+    if outcome.favor_delta or outcome.essence_delta or outcome.consequence in (
+        "reward",
+        "crossed_over",
+    ):
+        async with session_maker() as db:
+            user = await db.get(User, state.user_id)
+            if user is not None:
+                if outcome.favor_delta:
+                    user.favor = judgment.clamp_favor(user.favor + outcome.favor_delta)
+                if outcome.essence_delta:
+                    credit_essence(user, outcome.essence_delta)
+
+            if outcome.consequence == "crossed_over":
+                entity_row = await db.get(Entity, uuid.UUID(state.entity["id"]))
+                if entity_row is not None:
+                    entity_row.at_peace = True
+
+            if outcome.consequence in ("reward", "crossed_over"):
+                item = roll_item_drop("judgment")
+                if item is not None:
+                    db.add(
+                        InventoryItem(
+                            user_id=state.user_id,
+                            item_type=item["item_type"],
+                            item_key=item["item_key"],
+                            payload=item["payload"],
+                        )
+                    )
+            await db.commit()
+
+    await state.send_queue.put(
+        {
+            "type": "judgment_result",
+            "correct": outcome.correct,
+            "favor_delta": outcome.favor_delta,
+            "essence_delta": outcome.essence_delta,
+            "at_peace": outcome.at_peace,
+            "consequence": outcome.consequence,
+        }
+    )
+    if item is not None:
+        await state.send_queue.put({"type": "item_drop", "item": item})
+
+
 @router.websocket("/ws/session")
 async def session_socket(websocket: WebSocket) -> None:
     user_id = await _authenticate(websocket)
@@ -539,6 +751,12 @@ async def session_socket(websocket: WebSocket) -> None:
                 await _handle_question(state, message["text"])
             elif msg_type == "passive":
                 await _handle_passive(state, bool(message.get("enabled")))
+            elif msg_type == "ritual_start":
+                await _handle_ritual_start(state)
+            elif msg_type == "ritual_step":
+                await _handle_ritual_step(state, message)
+            elif msg_type == "judgment":
+                await _handle_judgment(state, message)
     except WebSocketDisconnect:
         pass
     finally:

backend/tests/test_judgment.py

@@ -0,0 +1,363 @@
+import random
+
+import pytest
+
+from app.judgment import (
+    FAVOR_CORRECT_BANISH,
+    FAVOR_CORRECT_CROSS_OVER,
+    FAVOR_CORRECT_TRUST,
+    FAVOR_CROSS_OVER_FAIL,
+    FAVOR_TEST,
+    FAVOR_WRONG_BANISH,
+    FAVOR_WRONG_TRUST,
+    RITUAL_BASE_SUCCESS_CHANCE,
+    RITUAL_MIN_SUCCESS_CHANCE,
+    STUCK_VOLATILITY_THRESHOLD,
+    apply_favor_bias,
+    clamp_favor,
+    generate_tell,
+    is_stuck_spirit,
+    judge_verdict,
+    roll_ritual_success,
+)
+from app.inventory import CORRECT_JUDGMENT_ESSENCE, CROSS_OVER_ESSENCE
+
+
+def _traits(alignment=0.5, power=0.5, volatility=0.5, deceptiveness=0.5):
+    return {
+        "alignment": alignment,
+        "power": power,
+        "volatility": volatility,
+        "deceptiveness": deceptiveness,
+    }
+
+
+# --- clamp_favor -------------------------------------------------------
+
+
+def test_clamp_favor_within_range_unchanged():
+    assert clamp_favor(0.3) == 0.3
+
+
+def test_clamp_favor_clamps_above_max():
+    assert clamp_favor(5.0) == 1.0
+
+
+def test_clamp_favor_clamps_below_min():
+    assert clamp_favor(-5.0) == -1.0
+
+
+def test_clamp_favor_at_exact_bounds():
+    assert clamp_favor(1.0) == 1.0
+    assert clamp_favor(-1.0) == -1.0
+
+
+# --- roll_ritual_success -------------------------------------------------
+
+
+def test_ritual_success_always_true_when_rng_below_chance():
+    rng = random.Random()
+    # An easy entity (low power/deceptiveness) sits at the base chance;
+    # forcing rng.random() to 0 always beats any positive chance.
+    monkey_rng = random.Random(0)
+    monkey_rng.random = lambda: 0.0  # type: ignore[method-assign]
+    assert roll_ritual_success(_traits(power=0.0, deceptiveness=0.0), monkey_rng) is True
+
+
+def test_ritual_success_always_false_when_rng_at_one():
+    monkey_rng = random.Random(0)
+    monkey_rng.random = lambda: 0.999999  # type: ignore[method-assign]
+    assert roll_ritual_success(_traits(power=0.0, deceptiveness=0.0), monkey_rng) is False
+
+
+def test_ritual_harder_entity_has_lower_success_chance():
+    # Same rng draw, easy vs. hard entity: the hard one should fail where
+    # the easy one succeeds, for a draw threaded between the two chances.
+    easy = _traits(power=0.0, deceptiveness=0.0)
+    hard = _traits(power=1.0, deceptiveness=1.0)
+
+    fixed_draw = (RITUAL_BASE_SUCCESS_CHANCE + RITUAL_MIN_SUCCESS_CHANCE) / 2
+
+    rng_easy = random.Random(0)
+    rng_easy.random = lambda: fixed_draw  # type: ignore[method-assign]
+    rng_hard = random.Random(0)
+    rng_hard.random = lambda: fixed_draw  # type: ignore[method-assign]
+
+    assert roll_ritual_success(easy, rng_easy) is True
+    assert roll_ritual_success(hard, rng_hard) is False
+
+
+def test_ritual_success_chance_never_below_floor():
+    # Even the worst-case entity must be beatable — a low enough draw always
+    # succeeds.
+    rng = random.Random(0)
+    rng.random = lambda: RITUAL_MIN_SUCCESS_CHANCE - 0.01  # type: ignore[method-assign]
+    assert roll_ritual_success(_traits(power=1.0, deceptiveness=1.0), rng) is True
+
+
+def test_ritual_success_alignment_and_volatility_dont_affect_odds():
+    fixed_draw = 0.5
+    rng_a = random.Random(0)
+    rng_a.random = lambda: fixed_draw  # type: ignore[method-assign]
+    rng_b = random.Random(0)
+    rng_b.random = lambda: fixed_draw  # type: ignore[method-assign]
+
+    result_a = roll_ritual_success(_traits(alignment=0.0, volatility=0.0, power=0.4, deceptiveness=0.4), rng_a)
+    result_b = roll_ritual_success(_traits(alignment=1.0, volatility=1.0, power=0.4, deceptiveness=0.4), rng_b)
+    assert result_a == result_b
+
+
+def test_ritual_success_uses_fresh_rng_by_default_and_varies():
+    # No injected rng: repeated calls against the same traits should not
+    # all agree (proves it isn't signature/deterministically seeded).
+    outcomes = {roll_ritual_success(_traits()) for _ in range(200)}
+    assert outcomes == {True, False}
+
+
+# --- is_stuck_spirit -----------------------------------------------------
+
+
+def test_stuck_spirit_requires_benevolent_and_high_volatility():
+    assert is_stuck_spirit(_traits(alignment=0.7, volatility=0.9)) is True
+
+
+def test_stuck_spirit_false_for_demon_even_if_volatile():
+    assert is_stuck_spirit(_traits(alignment=0.2, volatility=0.95)) is False
+
+
+def test_stuck_spirit_false_for_calm_benevolent_spirit():
+    assert is_stuck_spirit(_traits(alignment=0.8, volatility=0.3)) is False
+
+
+def test_stuck_spirit_boundary_volatility_not_stuck():
+    assert is_stuck_spirit(_traits(alignment=0.9, volatility=STUCK_VOLATILITY_THRESHOLD)) is False
+
+
+def test_stuck_spirit_boundary_alignment_is_stuck():
+    assert is_stuck_spirit(_traits(alignment=0.5, volatility=0.99)) is True
+
+
+# --- judge_verdict: trust -------------------------------------------------
+
+
+def test_trust_correct_on_benevolent_spirit():
+    outcome = judge_verdict("trust", _traits(alignment=0.8))
+    assert outcome.correct is True
+    assert outcome.consequence == "reward"
+    assert outcome.favor_delta == FAVOR_CORRECT_TRUST
+    assert outcome.essence_delta == CORRECT_JUDGMENT_ESSENCE
+    assert outcome.at_peace is False
+
+
+def test_trust_wrong_on_demon():
+    outcome = judge_verdict("trust", _traits(alignment=0.1))
+    assert outcome.correct is False
+    assert outcome.consequence == "escalation"
+    assert outcome.favor_delta == FAVOR_WRONG_TRUST
+    assert outcome.essence_delta == 0
+
+
+def test_trust_boundary_alignment_counts_as_benevolent():
+    outcome = judge_verdict("trust", _traits(alignment=0.5))
+    assert outcome.correct is True
+    assert outcome.consequence == "reward"
+
+
+# --- judge_verdict: banish -------------------------------------------------
+
+
+def test_banish_correct_on_demon():
+    outcome = judge_verdict("banish", _traits(alignment=0.1))
+    assert outcome.correct is True
+    assert outcome.consequence == "reward"
+    assert outcome.favor_delta == FAVOR_CORRECT_BANISH
+    assert outcome.essence_delta == CORRECT_JUDGMENT_ESSENCE
+
+
+def test_banish_wrong_on_real_spirit():
+    outcome = judge_verdict("banish", _traits(alignment=0.9))
+    assert outcome.correct is False
+    assert outcome.consequence == "withdrawal"
+    assert outcome.favor_delta == FAVOR_WRONG_BANISH
+    assert outcome.essence_delta == 0
+
+
+def test_wrong_trust_penalty_larger_magnitude_than_wrong_banish():
+    trust_outcome = judge_verdict("trust", _traits(alignment=0.0))
+    banish_outcome = judge_verdict("banish", _traits(alignment=1.0))
+    assert abs(trust_outcome.favor_delta) > abs(banish_outcome.favor_delta)
+    assert trust_outcome.favor_delta < 0
+    assert banish_outcome.favor_delta < 0
+
+
+def test_all_favor_deltas_are_small_and_in_range():
+    for delta in (
+        FAVOR_CORRECT_TRUST,
+        FAVOR_CORRECT_BANISH,
+        FAVOR_WRONG_TRUST,
+        FAVOR_WRONG_BANISH,
+        FAVOR_CORRECT_CROSS_OVER,
+        FAVOR_CROSS_OVER_FAIL,
+        FAVOR_TEST,
+    ):
+        assert -1.0 <= delta <= 1.0
+        assert abs(delta) <= 0.2  # single-digit percent of the [-1, 1] range
+
+
+# --- judge_verdict: cross_over ---------------------------------------------
+
+
+def test_cross_over_correct_on_stuck_spirit():
+    outcome = judge_verdict("cross_over", _traits(alignment=0.8, volatility=0.9))
+    assert outcome.correct is True
+    assert outcome.consequence == "crossed_over"
+    assert outcome.at_peace is True
+    assert outcome.favor_delta == FAVOR_CORRECT_CROSS_OVER
+    assert outcome.essence_delta == CROSS_OVER_ESSENCE
+
+
+def test_cross_over_resisted_on_demon():
+    outcome = judge_verdict("cross_over", _traits(alignment=0.1, volatility=0.9))
+    assert outcome.correct is False
+    assert outcome.consequence == "resisted"
+    assert outcome.at_peace is False
+    assert outcome.favor_delta == 0
+    assert outcome.essence_delta == 0
+
+
+def test_cross_over_resisted_on_non_stuck_real_spirit():
+    outcome = judge_verdict("cross_over", _traits(alignment=0.8, volatility=0.2))
+    assert outcome.correct is False
+    assert outcome.consequence == "resisted"
+    assert outcome.at_peace is False
+    assert outcome.favor_delta == 0
+    assert outcome.essence_delta == 0
+
+
+def test_cross_over_essence_is_largest_reward_of_any_outcome():
+    trust = judge_verdict("trust", _traits(alignment=0.9))
+    banish = judge_verdict("banish", _traits(alignment=0.1))
+    crossed = judge_verdict("cross_over", _traits(alignment=0.8, volatility=0.9))
+    assert crossed.essence_delta > trust.essence_delta
+    assert crossed.essence_delta > banish.essence_delta
+
+
+# --- judge_verdict: test ---------------------------------------------------
+
+
+def test_test_verdict_without_completed_ritual_has_no_effect():
+    outcome = judge_verdict("test", _traits(alignment=0.9), ritual_completed=False)
+    assert outcome.correct is False
+    assert outcome.consequence == "neutral"
+    assert outcome.favor_delta == 0
+    assert outcome.essence_delta == 0
+    assert outcome.at_peace is False
+
+
+def test_test_verdict_with_successful_completed_ritual():
+    outcome = judge_verdict(
+        "test", _traits(alignment=0.9), ritual_completed=True, ritual_success=True
+    )
+    assert outcome.correct is True
+    assert outcome.consequence == "neutral"
+    assert outcome.favor_delta == 0
+    assert outcome.essence_delta == 0
+
+
+def test_test_verdict_with_failed_completed_ritual():
+    outcome = judge_verdict(
+        "test", _traits(alignment=0.9), ritual_completed=True, ritual_success=False
+    )
+    assert outcome.correct is False
+    assert outcome.consequence == "neutral"
+    assert outcome.favor_delta == 0
+    assert outcome.essence_delta == 0
+
+
+def test_judge_verdict_rejects_unknown_verdict():
+    with pytest.raises(ValueError):
+        judge_verdict("smite", _traits())
+
+
+# --- apply_favor_bias -------------------------------------------------------
+
+
+def test_favor_bias_zero_favor_is_a_no_op():
+    traits = _traits(volatility=0.5, deceptiveness=0.5)
+    biased = apply_favor_bias(traits, 0.0)
+    assert biased["volatility"] == pytest.approx(traits["volatility"])
+    assert biased["deceptiveness"] == pytest.approx(traits["deceptiveness"])
+
+
+def test_favor_bias_positive_favor_lowers_volatility_and_deceptiveness():
+    traits = _traits(volatility=0.5, deceptiveness=0.5)
+    biased = apply_favor_bias(traits, 1.0)
+    assert biased["volatility"] < traits["volatility"]
+    assert biased["deceptiveness"] < traits["deceptiveness"]
+
+
+def test_favor_bias_negative_favor_raises_volatility_and_deceptiveness():
+    traits = _traits(volatility=0.5, deceptiveness=0.5)
+    biased = apply_favor_bias(traits, -1.0)
+    assert biased["volatility"] > traits["volatility"]
+    assert biased["deceptiveness"] > traits["deceptiveness"]
+
+
+def test_favor_bias_leaves_alignment_and_power_untouched():
+    traits = _traits(alignment=0.3, power=0.7, volatility=0.5, deceptiveness=0.5)
+    biased = apply_favor_bias(traits, 1.0)
+    assert biased["alignment"] == traits["alignment"]
+    assert biased["power"] == traits["power"]
+
+
+def test_favor_bias_clamps_to_valid_range():
+    traits = _traits(volatility=0.02, deceptiveness=0.98)
+    biased = apply_favor_bias(traits, -1.0)
+    assert 0.0 <= biased["volatility"] <= 1.0
+    assert 0.0 <= biased["deceptiveness"] <= 1.0
+    biased_up = apply_favor_bias(traits, 1.0)
+    assert 0.0 <= biased_up["deceptiveness"] <= 1.0
+
+
+def test_favor_bias_effect_size_is_small():
+    traits = _traits(volatility=0.5, deceptiveness=0.5)
+    biased = apply_favor_bias(traits, 1.0)
+    assert abs(biased["volatility"] - traits["volatility"]) <= 0.15
+    assert abs(biased["deceptiveness"] - traits["deceptiveness"]) <= 0.15
+
+
+def test_favor_bias_out_of_range_favor_gets_clamped_first():
+    traits = _traits(volatility=0.5, deceptiveness=0.5)
+    extreme = apply_favor_bias(traits, 5.0)
+    clamped = apply_favor_bias(traits, 1.0)
+    assert extreme == clamped
+
+
+# --- generate_tell -----------------------------------------------------------
+
+
+def test_generate_tell_never_leaks_a_raw_number():
+    rng = random.Random(42)
+    traits = _traits(alignment=0.9, power=0.1, volatility=0.95, deceptiveness=0.05)
+    for _ in range(50):
+        text = generate_tell(traits, rng)
+        assert isinstance(text, str) and text
+        # No digits anywhere in the line — the whole point is never
+        # surfacing a stat number.
+        assert not any(ch.isdigit() for ch in text)
+
+
+def test_generate_tell_is_deterministic_given_same_rng_state():
+    traits = _traits()
+    rng_a = random.Random(7)
+    rng_b = random.Random(7)
+    lines_a = [generate_tell(traits, rng_a) for _ in range(10)]
+    lines_b = [generate_tell(traits, rng_b) for _ in range(10)]
+    assert lines_a == lines_b
+
+
+def test_generate_tell_varies_across_draws():
+    traits = _traits()
+    rng = random.Random(99)
+    lines = {generate_tell(traits, rng) for _ in range(30)}
+    assert len(lines) > 1

backend/tests/test_ws_ritual_judgment.py

@@ -0,0 +1,614 @@
+"""Workstream B WS integration tests: ritual_start/ritual_step/judgment
+handlers in app.ws, plus the favor/essence/at_peace side effects and the
+favor read-back bias on trait rolls at mint time."""
+
+import uuid
+
+import pytest
+from sqlalchemy import select
+
+import app.judgment as judgment_module
+import app.ws
+from app.entities import fallback_profile
+from app.inventory import (
+    CORRECT_JUDGMENT_ESSENCE,
+    CROSS_OVER_ESSENCE,
+    RITUAL_SUCCESS_ESSENCE,
+)
+from app.models.entity import Entity
+from app.models.user import User
+from app.rate_limit import RateLimiter
+
+
+class FakeSpiritService:
+    async def mint_profile(self, signature, channel, anomalies, language="en"):
+        return fallback_profile(signature)
+
+    async def fragment(self, source, anomaly, language="en"):
+        return "listen"
+
+    async def wire_whisper(self, telemetry, language="en"):
+        return "the wire hums"
+
+    def chat_stream(self, entity, question, history, language="en"):
+        async def gen():
+            for token in ["I ", "am ", "here."]:
+                yield token
+
+        return gen()
+
+    def ambient_ready(self):
+        return False
+
+
+async def _fake_synth(text, voice, profile, instability=0.0):
+    return b"RIFFfake wav bytes"
+
+
+@pytest.fixture(autouse=True)
+def _fake_spirits(monkeypatch):
+    monkeypatch.setattr(app.ws, "spirit_service", FakeSpiritService())
+    monkeypatch.setattr(app.ws, "synthesize_spirit_voice", _fake_synth)
+    # Generous, test-scoped limiters — the module-level ones are shared
+    # singletons that accumulate real hit counts across the whole test
+    # session (see backend/tests/test_ws_session.py's precedent), and this
+    # file summons repeatedly.
+    monkeypatch.setattr(app.ws, "summon_limiter", RateLimiter(max_requests=1000, window_seconds=60))
+    monkeypatch.setattr(app.ws, "summon_ip_limiter", RateLimiter(max_requests=1000, window_seconds=60))
+    monkeypatch.setattr(app.ws, "question_limiter", RateLimiter(max_requests=1000, window_seconds=60))
+    monkeypatch.setattr(app.ws, "question_ip_limiter", RateLimiter(max_requests=1000, window_seconds=60))
+    monkeypatch.setattr(app.ws, "fragment_limiter", RateLimiter(max_requests=1000, window_seconds=60))
+    monkeypatch.setattr(app.ws, "fragment_ip_limiter", RateLimiter(max_requests=1000, window_seconds=60))
+
+
+def _read_until(ws, msg_type, max_frames=60, **match):
+    for _ in range(max_frames):
+        frame = ws.receive_json()
+        if frame.get("type") != msg_type:
+            continue
+        if all(frame.get(key) == value for key, value in match.items()):
+            return frame
+    raise AssertionError(f"never saw frame of type {msg_type!r} matching {match!r}")
+
+
+def _login(sync_client, username):
+    sync_client.post("/auth/register", json={"username": username, "password": "spookyspooky"})
+    sync_client.post("/auth/login", json={"username": username, "password": "spookyspooky"})
+    return sync_client.cookies.get("qm_session")
+
+
+def _ws_connect(sync_client, token):
+    return sync_client.websocket_connect(
+        "/ws/session", headers={"cookie": f"qm_session={token}"}
+    )
+
+
+def _summon(ws):
+    ws.send_json({"type": "summon"})
+    entity_frame = _read_until(ws, "entity")
+    _read_until(ws, "utterance", kind="greeting")
+    return entity_frame
+
+
+def _run_ritual(ws, steps=4):
+    ws.send_json({"type": "ritual_start"})
+    for i in range(1, steps + 1):
+        ws.send_json({"type": "ritual_step", "step": i})
+    result = _read_until(ws, "ritual_complete")
+    # `_handle_ritual_step`'s reward call (essence credit / item roll) runs
+    # *after* the `ritual_complete` frame is queued for send, so receiving
+    # that frame doesn't by itself guarantee the reward has landed yet (the
+    # sender task drains the queue concurrently with the handler's own
+    # in-flight awaits). A trailing ping/pong forces a full round trip
+    # through the single connection's sequential message loop, which can't
+    # read the next message until the ritual_step handler (reward included)
+    # has fully returned — so seeing the pong is a hard guarantee, not a
+    # poll-and-hope.
+    ws.send_json({"type": "ping"})
+    _read_until(ws, "pong")
+    return result
+
+
+# --- entity frame never leaks traits ---------------------------------------
+
+
+@pytest.mark.asyncio
+async def test_entity_frame_never_includes_traits(sync_client):
+    _login(sync_client, "no-leak")
+    with _ws_connect(sync_client, sync_client.cookies.get("qm_session")) as ws:
+        _read_until(ws, "session")
+        entity_frame = _summon(ws)
+        assert "traits" not in entity_frame["entity"]
+
+
+# --- ritual ------------------------------------------------------------
+
+
+@pytest.mark.asyncio
+async def test_ritual_success_reveals_true_traits_and_credits_essence(
+    sync_client, db_session, monkeypatch
+):
+    monkeypatch.setattr(app.ws.judgment, "roll_ritual_success", lambda traits, rng=None: True)
+
+    token = _login(sync_client, "ritual-winner")
+    user_id = uuid.UUID(
+        sync_client.get("/auth/me", headers={"cookie": f"qm_session={token}"}).json()["id"]
+    )
+
+    with _ws_connect(sync_client, token) as ws:
+        _read_until(ws, "session")
+        _summon(ws)
+        result = _run_ritual(ws)
+
+    assert result["success"] is True
+    assert result["revealed"] is not None
+    assert set(result["revealed"].keys()) == {
+        "alignment",
+        "power",
+        "volatility",
+        "deceptiveness",
+    }
+    for v in result["revealed"].values():
+        assert 0.0 <= v <= 1.0
+
+    # trickle (summon) + ritual success milestone. `_run_ritual`'s trailing
+    # ping/pong (see its docstring comment) guarantees the reward has fully
+    # landed before we get here.
+    from app.inventory import SUMMON_ESSENCE_TRICKLE
+
+    db_session.expire_all()
+    user = await db_session.get(User, user_id)
+    assert user.essence == SUMMON_ESSENCE_TRICKLE + RITUAL_SUCCESS_ESSENCE
+
+
+@pytest.mark.asyncio
+async def test_ritual_failure_reveals_nothing_and_grants_no_essence(
+    sync_client, db_session, monkeypatch
+):
+    monkeypatch.setattr(app.ws.judgment, "roll_ritual_success", lambda traits, rng=None: False)
+
+    token = _login(sync_client, "ritual-loser")
+    user_id = uuid.UUID(
+        sync_client.get("/auth/me", headers={"cookie": f"qm_session={token}"}).json()["id"]
+    )
+
+    with _ws_connect(sync_client, token) as ws:
+        _read_until(ws, "session")
+        _summon(ws)
+        result = _run_ritual(ws)
+
+    assert result["success"] is False
+    assert result["revealed"] is None
+
+    db_session.expire_all()
+    user = await db_session.get(User, user_id)
+    from app.inventory import SUMMON_ESSENCE_TRICKLE
+
+    assert user.essence == SUMMON_ESSENCE_TRICKLE
+
+
+@pytest.mark.asyncio
+async def test_ritual_complete_only_fires_after_all_steps(sync_client, monkeypatch):
+    monkeypatch.setattr(app.ws.judgment, "roll_ritual_success", lambda traits, rng=None: True)
+    _login(sync_client, "ritual-partial")
+
+    with _ws_connect(sync_client, sync_client.cookies.get("qm_session")) as ws:
+        _read_until(ws, "session")
+        _summon(ws)
+        ws.send_json({"type": "ritual_start"})
+        ws.send_json({"type": "ritual_step", "step": 1})
+        ws.send_json({"type": "ritual_step", "step": 2})
+        ws.send_json({"type": "ping"})
+        pong = _read_until(ws, "pong")
+        assert pong == {"type": "pong"}
+        # No ritual_complete should have arrived yet (only 2/4 steps done) —
+        # if it had, it'd have been consumed as the "pong" read above
+        # skipped it via _read_until's scan, so assert explicitly by
+        # finishing the remaining steps and confirming exactly one
+        # ritual_complete follows.
+        ws.send_json({"type": "ritual_step", "step": 3})
+        ws.send_json({"type": "ritual_step", "step": 4})
+        result = _read_until(ws, "ritual_complete")
+        assert result["success"] is True
+
+
+@pytest.mark.asyncio
+async def test_fresh_summon_resets_ritual_progress(sync_client, monkeypatch):
+    monkeypatch.setattr(app.ws.judgment, "roll_ritual_success", lambda traits, rng=None: True)
+    _login(sync_client, "ritual-reset")
+
+    with _ws_connect(sync_client, sync_client.cookies.get("qm_session")) as ws:
+        _read_until(ws, "session")
+        _summon(ws)
+        ws.send_json({"type": "ritual_start"})
+        ws.send_json({"type": "ritual_step", "step": 1})
+        ws.send_json({"type": "ritual_step", "step": 2})
+        # A brand-new summon should discard the in-progress ritual — the
+        # next 4 steps on the new entity shouldn't complete after only 2
+        # more (i.e. carry over the old count).
+        _summon(ws)
+        ws.send_json({"type": "ritual_start"})
+        ws.send_json({"type": "ritual_step", "step": 1})
+        ws.send_json({"type": "ritual_step", "step": 2})
+        ws.send_json({"type": "ping"})
+        pong = _read_until(ws, "pong")
+        assert pong == {"type": "pong"}
+
+
+# --- judgment: trust / banish -----------------------------------------------
+
+
+@pytest.mark.asyncio
+async def test_judgment_trust_correct_on_benevolent_entity(sync_client, db_session, monkeypatch):
+    monkeypatch.setattr(
+        app.ws.judgment,
+        "judge_verdict",
+        lambda verdict, traits, **kw: judgment_module.JudgmentOutcome(
+            True, 0.05, CORRECT_JUDGMENT_ESSENCE, False, "reward"
+        ),
+    )
+    token = _login(sync_client, "truster")
+    user_id = uuid.UUID(
+        sync_client.get("/auth/me", headers={"cookie": f"qm_session={token}"}).json()["id"]
+    )
+
+    with _ws_connect(sync_client, token) as ws:
+        _read_until(ws, "session")
+        _summon(ws)
+        ws.send_json({"type": "judgment", "verdict": "trust"})
+        result = _read_until(ws, "judgment_result")
+
+    assert result == {
+        "type": "judgment_result",
+        "correct": True,
+        "favor_delta": 0.05,
+        "essence_delta": CORRECT_JUDGMENT_ESSENCE,
+        "at_peace": False,
+        "consequence": "reward",
+    }
+
+    db_session.expire_all()
+    user = await db_session.get(User, user_id)
+    assert user.favor == pytest.approx(0.05)
+
+
+@pytest.mark.asyncio
+async def test_judgment_wrong_trust_emits_escalation_consequence(sync_client, db_session, monkeypatch):
+    monkeypatch.setattr(
+        app.ws.judgment,
+        "judge_verdict",
+        lambda verdict, traits, **kw: judgment_module.JudgmentOutcome(
+            False, -0.10, 0, False, "escalation"
+        ),
+    )
+    token = _login(sync_client, "wrong-truster")
+    user_id = uuid.UUID(
+        sync_client.get("/auth/me", headers={"cookie": f"qm_session={token}"}).json()["id"]
+    )
+
+    with _ws_connect(sync_client, token) as ws:
+        _read_until(ws, "session")
+        _summon(ws)
+        ws.send_json({"type": "judgment", "verdict": "trust"})
+        result = _read_until(ws, "judgment_result")
+
+    assert result["consequence"] == "escalation"
+    assert result["correct"] is False
+    assert result["favor_delta"] == -0.10
+
+    db_session.expire_all()
+    user = await db_session.get(User, user_id)
+    assert user.favor == pytest.approx(-0.10)
+
+
+@pytest.mark.asyncio
+async def test_judgment_favor_clamped_at_negative_one(sync_client, db_session, monkeypatch):
+    monkeypatch.setattr(
+        app.ws.judgment,
+        "judge_verdict",
+        lambda verdict, traits, **kw: judgment_module.JudgmentOutcome(
+            False, -0.10, 0, False, "escalation"
+        ),
+    )
+    token = _login(sync_client, "favor-floor")
+    user_id = uuid.UUID(
+        sync_client.get("/auth/me", headers={"cookie": f"qm_session={token}"}).json()["id"]
+    )
+
+    async with app.ws.session_maker() as db:
+        user = await db.get(User, user_id)
+        user.favor = -0.95
+        await db.commit()
+
+    with _ws_connect(sync_client, token) as ws:
+        _read_until(ws, "session")
+        _summon(ws)
+        ws.send_json({"type": "judgment", "verdict": "trust"})
+        result = _read_until(ws, "judgment_result")
+
+    assert result["favor_delta"] == -0.10  # the raw per-event delta, unclamped
+    db_session.expire_all()
+    user = await db_session.get(User, user_id)
+    assert user.favor == pytest.approx(-1.0)  # but the stored balance is clamped
+
+
+@pytest.mark.asyncio
+async def test_judgment_favor_clamped_at_positive_one(sync_client, db_session, monkeypatch):
+    monkeypatch.setattr(
+        app.ws.judgment,
+        "judge_verdict",
+        lambda verdict, traits, **kw: judgment_module.JudgmentOutcome(
+            True, 0.08, CROSS_OVER_ESSENCE, True, "crossed_over"
+        ),
+    )
+    token = _login(sync_client, "favor-ceiling")
+    user_id = uuid.UUID(
+        sync_client.get("/auth/me", headers={"cookie": f"qm_session={token}"}).json()["id"]
+    )
+
+    async with app.ws.session_maker() as db:
+        user = await db.get(User, user_id)
+        user.favor = 0.97
+        await db.commit()
+
+    with _ws_connect(sync_client, token) as ws:
+        _read_until(ws, "session")
+        _summon(ws)
+        ws.send_json({"type": "judgment", "verdict": "cross_over"})
+        _read_until(ws, "judgment_result")
+
+    db_session.expire_all()
+    user = await db_session.get(User, user_id)
+    assert user.favor == pytest.approx(1.0)
+
+
+# --- judgment: cross_over / at_peace ----------------------------------------
+
+
+@pytest.mark.asyncio
+async def test_judgment_cross_over_correct_sets_at_peace_and_pays_most_essence(
+    sync_client, db_session, monkeypatch
+):
+    monkeypatch.setattr(
+        app.ws.judgment,
+        "judge_verdict",
+        lambda verdict, traits, **kw: judgment_module.JudgmentOutcome(
+            True, 0.08, CROSS_OVER_ESSENCE, True, "crossed_over"
+        ),
+    )
+    token = _login(sync_client, "crosser")
+    user_id = uuid.UUID(
+        sync_client.get("/auth/me", headers={"cookie": f"qm_session={token}"}).json()["id"]
+    )
+
+    with _ws_connect(sync_client, token) as ws:
+        _read_until(ws, "session")
+        entity_frame = _summon(ws)
+        entity_id = uuid.UUID(entity_frame["entity"]["id"])
+        ws.send_json({"type": "judgment", "verdict": "cross_over"})
+        result = _read_until(ws, "judgment_result")
+
+    assert result["consequence"] == "crossed_over"
+    assert result["at_peace"] is True
+    assert result["essence_delta"] == CROSS_OVER_ESSENCE
+
+    db_session.expire_all()
+    entity = await db_session.get(Entity, entity_id)
+    assert entity.at_peace is True
+
+    from app.inventory import SUMMON_ESSENCE_TRICKLE
+
+    user = await db_session.get(User, user_id)
+    assert user.essence == SUMMON_ESSENCE_TRICKLE + CROSS_OVER_ESSENCE
+
+
+@pytest.mark.asyncio
+async def test_judgment_cross_over_resisted_on_demon_has_no_effect(sync_client, db_session, monkeypatch):
+    monkeypatch.setattr(
+        app.ws.judgment,
+        "judge_verdict",
+        lambda verdict, traits, **kw: judgment_module.JudgmentOutcome(
+            False, 0.0, 0, False, "resisted"
+        ),
+    )
+    token = _login(sync_client, "resisted-demon")
+    user_id = uuid.UUID(
+        sync_client.get("/auth/me", headers={"cookie": f"qm_session={token}"}).json()["id"]
+    )
+
+    with _ws_connect(sync_client, token) as ws:
+        _read_until(ws, "session")
+        entity_frame = _summon(ws)
+        entity_id = uuid.UUID(entity_frame["entity"]["id"])
+        ws.send_json({"type": "judgment", "verdict": "cross_over"})
+        result = _read_until(ws, "judgment_result")
+
+    assert result == {
+        "type": "judgment_result",
+        "correct": False,
+        "favor_delta": 0.0,
+        "essence_delta": 0,
+        "at_peace": False,
+        "consequence": "resisted",
+    }
+
+    db_session.expire_all()
+    entity = await db_session.get(Entity, entity_id)
+    assert entity.at_peace is False
+    from app.inventory import SUMMON_ESSENCE_TRICKLE
+
+    user = await db_session.get(User, user_id)
+    assert user.essence == SUMMON_ESSENCE_TRICKLE
+    assert user.favor == 0.0
+
+
+# --- judgment: test ----------------------------------------------------
+
+
+@pytest.mark.asyncio
+async def test_judgment_test_verdict_is_always_allowed_and_neutral(sync_client, db_session):
+    token = _login(sync_client, "tester")
+    user_id = uuid.UUID(
+        sync_client.get("/auth/me", headers={"cookie": f"qm_session={token}"}).json()["id"]
+    )
+
+    with _ws_connect(sync_client, token) as ws:
+        _read_until(ws, "session")
+        _summon(ws)
+        # No ritual attempted at all — should not crash, just no effect.
+        ws.send_json({"type": "judgment", "verdict": "test"})
+        result = _read_until(ws, "judgment_result")
+
+    assert result == {
+        "type": "judgment_result",
+        "correct": False,
+        "favor_delta": 0,
+        "essence_delta": 0,
+        "at_peace": False,
+        "consequence": "neutral",
+    }
+
+    db_session.expire_all()
+    user = await db_session.get(User, user_id)
+    assert user.favor == 0.0
+
+
+@pytest.mark.asyncio
+async def test_judgment_test_verdict_correct_after_successful_ritual(sync_client, monkeypatch):
+    monkeypatch.setattr(app.ws.judgment, "roll_ritual_success", lambda traits, rng=None: True)
+    _login(sync_client, "tester-after-ritual")
+
+    with _ws_connect(sync_client, sync_client.cookies.get("qm_session")) as ws:
+        _read_until(ws, "session")
+        _summon(ws)
+        _run_ritual(ws)
+        ws.send_json({"type": "judgment", "verdict": "test"})
+        result = _read_until(ws, "judgment_result")
+
+    assert result["correct"] is True
+    assert result["consequence"] == "neutral"
+    assert result["favor_delta"] == 0
+    assert result["essence_delta"] == 0
+
+
+# --- at_peace + re-contact ----------------------------------------------
+
+
+@pytest.mark.asyncio
+async def test_at_peace_entity_is_not_recontacted_a_fresh_one_mints_instead(
+    sync_client, db_session
+):
+    anomalies = [
+        {"type": "anomaly", "source": "radio", "frequency": 101.0 + i, "magnitude": 5.0 + i}
+        for i in range(4)
+    ]
+
+    token = _login(sync_client, "peace-seeker")
+    with _ws_connect(sync_client, token) as ws:
+        _read_until(ws, "session")
+        for anomaly in anomalies:
+            ws.send_json(anomaly)
+        first_frame = _read_until(ws, "entity")
+        first_id = uuid.UUID(first_frame["entity"]["id"])
+        first_signature = None  # not exposed to the client; fetched below
+
+    # Manually mark the entity at_peace, as a completed cross_over would.
+    async with app.ws.session_maker() as db:
+        entity = await db.get(Entity, first_id)
+        entity.at_peace = True
+        first_signature = entity.signature
+        await db.commit()
+
+    with _ws_connect(sync_client, token) as ws:
+        _read_until(ws, "session")
+        for anomaly in anomalies:
+            ws.send_json(anomaly)
+        second_frame = _read_until(ws, "entity")
+
+    assert second_frame["is_new"] is True
+    second_id = uuid.UUID(second_frame["entity"]["id"])
+    assert second_id != first_id
+
+    db_session.expire_all()
+    second_entity = await db_session.get(Entity, second_id)
+    assert second_entity.at_peace is False
+    # Salted variant of the same base signature, not a raw collision.
+    assert second_entity.signature != first_signature
+    assert second_entity.signature.startswith(first_signature + ":")
+
+    first_entity = await db_session.get(Entity, first_id)
+    assert first_entity is not None  # memorialized, never deleted
+    assert first_entity.at_peace is True
+
+
+# --- favor read-back bias on trait rolls at mint time -----------------------
+
+
+@pytest.mark.asyncio
+async def test_high_favor_user_mints_less_volatile_deceptive_entities(sync_client, db_session):
+    token = _login(sync_client, "high-favor-summoner")
+    user_id = uuid.UUID(
+        sync_client.get("/auth/me", headers={"cookie": f"qm_session={token}"}).json()["id"]
+    )
+    async with app.ws.session_maker() as db:
+        user = await db.get(User, user_id)
+        user.favor = 1.0
+        await db.commit()
+
+    anomalies = [
+        {"type": "anomaly", "source": "radio", "frequency": 201.0 + i, "magnitude": 5.0 + i}
+        for i in range(4)
+    ]
+    with _ws_connect(sync_client, token) as ws:
+        _read_until(ws, "session")
+        for anomaly in anomalies:
+            ws.send_json(anomaly)
+        entity_frame = _read_until(ws, "entity")
+
+    entity_id = uuid.UUID(entity_frame["entity"]["id"])
+    db_session.expire_all()
+    entity = await db_session.get(Entity, entity_id)
+
+    # Recompute what the unbiased roll would have been for this signature
+    # and confirm the stored traits were nudged toward more legible
+    # (lower volatility/deceptiveness), never the other direction.
+    from app.entities import roll_traits
+
+    unbiased = roll_traits(entity.signature)
+    assert entity.traits["volatility"] <= unbiased["volatility"]
+    assert entity.traits["deceptiveness"] <= unbiased["deceptiveness"]
+    # alignment/power are untouched by the bias.
+    assert entity.traits["alignment"] == pytest.approx(unbiased["alignment"])
+    assert entity.traits["power"] == pytest.approx(unbiased["power"])
+
+
+@pytest.mark.asyncio
+async def test_low_favor_user_mints_more_volatile_deceptive_entities(sync_client, db_session):
+    token = _login(sync_client, "low-favor-summoner")
+    user_id = uuid.UUID(
+        sync_client.get("/auth/me", headers={"cookie": f"qm_session={token}"}).json()["id"]
+    )
+    async with app.ws.session_maker() as db:
+        user = await db.get(User, user_id)
+        user.favor = -1.0
+        await db.commit()
+
+    anomalies = [
+        {"type": "anomaly", "source": "radio", "frequency": 301.0 + i, "magnitude": 5.0 + i}
+        for i in range(4)
+    ]
+    with _ws_connect(sync_client, token) as ws:
+        _read_until(ws, "session")
+        for anomaly in anomalies:
+            ws.send_json(anomaly)
+        entity_frame = _read_until(ws, "entity")
+
+    entity_id = uuid.UUID(entity_frame["entity"]["id"])
+    db_session.expire_all()
+    entity = await db_session.get(Entity, entity_id)
+
+    from app.entities import roll_traits
+
+    unbiased = roll_traits(entity.signature)
+    assert entity.traits["volatility"] >= unbiased["volatility"]
+    assert entity.traits["deceptiveness"] >= unbiased["deceptiveness"]