From 7b0afdb5410beb8138d7b4ee2b6f38551742fd1a Mon Sep 17 00:00:00 2001
From: Kjell Tore Guttormsen <ktg@humanize.no>
Date: Fri, 1 May 2026 21:22:51 +0200
Subject: [PATCH] feat(ai-psychosis): add v1.2 thresholds and domain-stakes
 table

---
 plugins/ai-psychosis/hooks/scripts/lib.mjs | 41 ++++++++++++
 plugins/ai-psychosis/tests/lib.test.mjs    | 78 ++++++++++++++++++++++
 2 files changed, 119 insertions(+)
 create mode 100644 plugins/ai-psychosis/tests/lib.test.mjs

diff --git a/plugins/ai-psychosis/hooks/scripts/lib.mjs b/plugins/ai-psychosis/hooks/scripts/lib.mjs
index a7b6bcf..4610ff3 100644
--- a/plugins/ai-psychosis/hooks/scripts/lib.mjs
+++ b/plugins/ai-psychosis/hooks/scripts/lib.mjs
@@ -131,6 +131,47 @@ export const COOLDOWN_HARD = 3600;
 // v1.1.0 — counting threshold; tier-reduction logic is v1.2 scope
 export const THRESHOLD_PUSHBACK_FLAGS = 2;
 
+// --- v1.2 thresholds and domain-stakes table ---
+//
+// Sources: Anthropic guidance paper Appendix (April 2026), Figure A1 (stakes),
+// Figure A4 (domain pushback rates). All domain identifiers are SINGULAR to
+// match v1.1.0's `state.domain_context = 'relationship'` convention.
+
+export const TIER1_TURN_THRESHOLD = 15;
+export const TIER2_SESSION_THRESHOLD = 3;
+export const THRESHOLD_VALSEEK_FLAGS = 3;
+
+// Domain stakes weights — Figure A1 high/very-high stakes domains carry
+// higher multipliers; consumer/personal_dev are baseline 1.0.
+export const DOMAIN_STAKES = Object.freeze({
+  legal: 1.5,
+  parenting: 1.5,
+  health: 1.5,
+  financial: 1.5,
+  relationship: 1.3,
+  spirituality: 1.2,
+  professional: 1.1,
+  wellbeing: 1.2,
+  lifepath: 1.1,
+  values: 1.2,
+  personal_dev: 1.0,
+  consumer: 1.0,
+  default: 1.0
+});
+
+// Pushback in these domains signals validation-pressing (Figure A4 — relationships
+// 21%, spirituality 19%); pushback alert fires.
+export const HIGH_SYCOPHANCY_DOMAINS = Object.freeze(['relationship', 'spirituality']);
+
+// High-stakes guidance domains (Figure A1 high/very-high). Tier-1 user-info
+// alert fires only when domain_context intersects this set.
+export const HIGH_STAKES_DOMAINS = Object.freeze(['legal', 'parenting', 'health', 'financial']);
+
+// Info-seeking domains where pushback signals healthy self-advocacy (Figure A4 —
+// parenting 7.9%, legal/health/financial 80–94% pushback rate). Pushback alert
+// is suppressed when domain_context is entirely within this set.
+export const INFO_DOMAINS = Object.freeze(['legal', 'parenting', 'health', 'financial', 'professional']);
+
 // --- Session counting ---
 
 export function sessionsToday() {
diff --git a/plugins/ai-psychosis/tests/lib.test.mjs b/plugins/ai-psychosis/tests/lib.test.mjs
new file mode 100644
index 0000000..0e59fb6
--- /dev/null
+++ b/plugins/ai-psychosis/tests/lib.test.mjs
@@ -0,0 +1,78 @@
+// Unit tests for shared library constants and helpers.
+// Sanity-checks that v1.2 thresholds and domain-stakes table are exported
+// with the expected shape. Detector-level behaviour is covered in
+// per-detector test files (user-info, validation-seeking, stakes-matrix).
+
+import { test, describe } from 'node:test';
+import assert from 'node:assert/strict';
+
+import {
+  TIER1_TURN_THRESHOLD,
+  TIER2_SESSION_THRESHOLD,
+  THRESHOLD_VALSEEK_FLAGS,
+  DOMAIN_STAKES,
+  HIGH_SYCOPHANCY_DOMAINS,
+  HIGH_STAKES_DOMAINS,
+  INFO_DOMAINS,
+} from '../hooks/scripts/lib.mjs';
+
+describe('v1.2 thresholds', () => {
+  test('tier-1 turn threshold is 15', () => {
+    assert.equal(TIER1_TURN_THRESHOLD, 15);
+  });
+
+  test('tier-2 session threshold is 3', () => {
+    assert.equal(TIER2_SESSION_THRESHOLD, 3);
+  });
+
+  test('valseek high-stakes flag threshold is 3', () => {
+    assert.equal(THRESHOLD_VALSEEK_FLAGS, 3);
+  });
+});
+
+describe('DOMAIN_STAKES table', () => {
+  test('default weight is 1.0', () => {
+    assert.equal(DOMAIN_STAKES.default, 1.0);
+  });
+
+  test('high-stakes domains weighted 1.5', () => {
+    assert.equal(DOMAIN_STAKES.legal, 1.5);
+    assert.equal(DOMAIN_STAKES.parenting, 1.5);
+    assert.equal(DOMAIN_STAKES.health, 1.5);
+    assert.equal(DOMAIN_STAKES.financial, 1.5);
+  });
+
+  test('high-sycophancy domains weighted between 1.2 and 1.3', () => {
+    assert.equal(DOMAIN_STAKES.relationship, 1.3);
+    assert.equal(DOMAIN_STAKES.spirituality, 1.2);
+  });
+
+  test('table is frozen (immutable)', () => {
+    assert.equal(Object.isFrozen(DOMAIN_STAKES), true);
+  });
+
+  test('uses singular domain identifiers (relationship, not relationships)', () => {
+    assert.equal(DOMAIN_STAKES.relationship, 1.3);
+    assert.equal(DOMAIN_STAKES.relationships, undefined);
+  });
+});
+
+describe('domain classification arrays', () => {
+  test('HIGH_SYCOPHANCY_DOMAINS contains relationship and spirituality', () => {
+    assert.deepEqual([...HIGH_SYCOPHANCY_DOMAINS], ['relationship', 'spirituality']);
+    assert.equal(Object.isFrozen(HIGH_SYCOPHANCY_DOMAINS), true);
+  });
+
+  test('HIGH_STAKES_DOMAINS contains legal, parenting, health, financial', () => {
+    assert.deepEqual([...HIGH_STAKES_DOMAINS], ['legal', 'parenting', 'health', 'financial']);
+    assert.equal(Object.isFrozen(HIGH_STAKES_DOMAINS), true);
+  });
+
+  test('INFO_DOMAINS adds professional to HIGH_STAKES_DOMAINS', () => {
+    assert.deepEqual(
+      [...INFO_DOMAINS],
+      ['legal', 'parenting', 'health', 'financial', 'professional']
+    );
+    assert.equal(Object.isFrozen(INFO_DOMAINS), true);
+  });
+});