feat: psychographic signal map + builder archetypes

scripts/psychographic-signals.ts — hand-crafted {signal_key, user_choice} →
{dimension, delta} map. Version 0.1.0. Conservative deltas (±0.03 to ±0.06
per event). Covers 9 signal keys: scope-appetite, architecture-care,
code-quality-care, test-discipline, detail-preference, design-care,
devex-care, distribution-care, session-mode.

Helpers: applySignal() mutates running totals, newDimensionTotals() creates
empty starting state, normalizeToDimensionValue() sigmoid-clamps accumulated
delta to [0,1] (0 → 0.5 neutral), validateRegistrySignalKeys() checks that
every signal_key in the registry has a SIGNAL_MAP entry.

In v1 the signal map is used ONLY to compute inferred dimension values for
/plan-tune inspection output. No skill behavior adapts to these signals
until v2.

scripts/archetypes.ts — 8 named archetypes + Polymath fallback:
- Cathedral Builder (boil-the-ocean + architecture-first)
- Ship-It Pragmatist (small scope + fast)
- Deep Craft (detail-verbose + principled)
- Taste Maker (intuitive, overrides recommendations)
- Solo Operator (high-autonomy, delegates)
- Consultant (hands-on, consulted on everything)
- Wedge Hunter (narrow scope aggressively)
- Builder-Coach (balanced steering)
- Polymath (fallback when no archetype matches)

matchArchetype() uses L2 distance scaled by tightness, with a 0.55 threshold
below which we return Polymath. v1 ships the model stable; v2 narrative/vibe
commands wire it into user-facing output.

14 new tests: signal map consistency vs registry, applySignal behavior for
known/unknown keys, normalization bounds, archetype schema validity, name
uniqueness, matchArchetype correctness for each reference profile, Polymath
fallback for outliers.

41 pass, 0 fail total in test/plan-tune.test.ts.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

scripts/archetypes.ts

@@ -0,0 +1,186 @@
+/**
+ * Archetypes — one-word builder identities computed from dimension clusters.
+ *
+ * Used by future /plan-tune vibe and /plan-tune narrative commands (v2).
+ * v1 ships the definitions but doesn't wire them into user-facing output
+ * yet. This file exists so the archetype model is stable by the time v2
+ * narrative generation ships.
+ *
+ * Design
+ * ------
+ * Each archetype is a point or region in the 5-dimensional psychographic
+ * space. `distance()` computes L2 distance from a profile to the archetype
+ * center, scaled by the archetype's "tightness" (how close you have to be
+ * to match). The archetype with smallest distance is the user's match.
+ *
+ * When no archetype is within threshold, return 'Polymath' — a calibrated
+ * "doesn't fit the common patterns" label that's respectful rather than
+ * generic.
+ */
+
+import type { Dimension } from './psychographic-signals';
+
+export interface Archetype {
+  /** Short vibe label — one or two words. */
+  name: string;
+  /** One-line description anchored in observable behavior. */
+  description: string;
+  /** Center point in the 5-dimensional space. */
+  center: Record<Dimension, number>;
+  /** Inverse-weighted radius. Smaller = tighter match needed. */
+  tightness: number;
+}
+
+export const ARCHETYPES: readonly Archetype[] = [
+  {
+    name: 'Cathedral Builder',
+    description: 'Boil the ocean. Architecture first. Ship the complete thing.',
+    center: {
+      scope_appetite: 0.85,
+      risk_tolerance: 0.55,
+      detail_preference: 0.5,
+      autonomy: 0.5,
+      architecture_care: 0.85,
+    },
+    tightness: 1.0,
+  },
+  {
+    name: 'Ship-It Pragmatist',
+    description: 'Small scope, fast iteration. Good enough is done.',
+    center: {
+      scope_appetite: 0.25,
+      risk_tolerance: 0.75,
+      detail_preference: 0.3,
+      autonomy: 0.65,
+      architecture_care: 0.4,
+    },
+    tightness: 1.0,
+  },
+  {
+    name: 'Deep Craft',
+    description: 'Every detail matters. Verbose explanations. Slow and considered.',
+    center: {
+      scope_appetite: 0.6,
+      risk_tolerance: 0.35,
+      detail_preference: 0.85,
+      autonomy: 0.35,
+      architecture_care: 0.85,
+    },
+    tightness: 1.0,
+  },
+  {
+    name: 'Taste Maker',
+    description: 'Decisions feel intuitive. Overrides recommendations when taste dictates.',
+    center: {
+      scope_appetite: 0.6,
+      risk_tolerance: 0.6,
+      detail_preference: 0.5,
+      autonomy: 0.4,
+      architecture_care: 0.7,
+    },
+    tightness: 0.9,
+  },
+  {
+    name: 'Solo Operator',
+    description: 'High autonomy. Delegate to the agent. Trust but verify.',
+    center: {
+      scope_appetite: 0.5,
+      risk_tolerance: 0.7,
+      detail_preference: 0.3,
+      autonomy: 0.85,
+      architecture_care: 0.55,
+    },
+    tightness: 0.9,
+  },
+  {
+    name: 'Consultant',
+    description: 'Hands-on. Wants to be consulted on everything. Verifies each step.',
+    center: {
+      scope_appetite: 0.5,
+      risk_tolerance: 0.3,
+      detail_preference: 0.7,
+      autonomy: 0.2,
+      architecture_care: 0.65,
+    },
+    tightness: 0.9,
+  },
+  {
+    name: 'Wedge Hunter',
+    description: 'Narrow scope aggressively. Find the smallest thing worth building.',
+    center: {
+      scope_appetite: 0.15,
+      risk_tolerance: 0.5,
+      detail_preference: 0.4,
+      autonomy: 0.55,
+      architecture_care: 0.6,
+    },
+    tightness: 0.85,
+  },
+  {
+    name: 'Builder-Coach',
+    description: 'Balanced steering. Makes room for the agent to propose and challenge.',
+    center: {
+      scope_appetite: 0.55,
+      risk_tolerance: 0.5,
+      detail_preference: 0.55,
+      autonomy: 0.55,
+      architecture_care: 0.6,
+    },
+    tightness: 0.75,
+  },
+];
+
+/**
+ * Fallback used when no archetype is close enough — meaning the user's
+ * dimension cluster genuinely doesn't match any named pattern.
+ */
+export const FALLBACK_ARCHETYPE: Archetype = {
+  name: 'Polymath',
+  description: "Your steering style doesn't fit a common archetype. That's a compliment.",
+  center: { scope_appetite: 0.5, risk_tolerance: 0.5, detail_preference: 0.5, autonomy: 0.5, architecture_care: 0.5 },
+  tightness: 0,
+};
+
+const DIMENSIONS: readonly Dimension[] = [
+  'scope_appetite',
+  'risk_tolerance',
+  'detail_preference',
+  'autonomy',
+  'architecture_care',
+] as const;
+
+function euclidean(a: Record<Dimension, number>, b: Record<Dimension, number>): number {
+  let sumSq = 0;
+  for (const d of DIMENSIONS) {
+    const diff = (a[d] ?? 0.5) - (b[d] ?? 0.5);
+    sumSq += diff * diff;
+  }
+  return Math.sqrt(sumSq);
+}
+
+/**
+ * Match a profile to its best archetype.
+ * Returns FALLBACK_ARCHETYPE if no defined archetype is within threshold.
+ */
+export function matchArchetype(dims: Record<Dimension, number>): Archetype {
+  let best: Archetype = FALLBACK_ARCHETYPE;
+  let bestScore = Infinity; // lower is better
+  // Threshold: if no archetype scores below this, return Polymath.
+  // Max possible distance in [0,1]^5 is sqrt(5) ≈ 2.236. 0.55 = ~half the space.
+  const THRESHOLD = 0.55;
+  for (const arch of ARCHETYPES) {
+    const dist = euclidean(dims, arch.center);
+    // Scale by tightness — tighter archetypes require smaller actual distance.
+    const scaled = dist / (arch.tightness || 1);
+    if (scaled < bestScore && scaled <= THRESHOLD) {
+      bestScore = scaled;
+      best = arch;
+    }
+  }
+  return best;
+}
+
+/** All archetype names, useful for tests and /plan-tune stats. */
+export function getAllArchetypeNames(): string[] {
+  return ARCHETYPES.map((a) => a.name).concat(FALLBACK_ARCHETYPE.name);
+}

scripts/psychographic-signals.ts

@@ -0,0 +1,272 @@
+/**
+ * Psychographic Signal Map — hand-crafted {question_id, user_choice} → {dimension, delta}.
+ *
+ * Consumed in v1 ONLY to compute inferred dimension values for /plan-tune
+ * inspection output. No skill behavior adapts to these signals in v1.
+ *
+ * When v2 wires 5 skills to consume the profile, this map is the source of
+ * truth for how behavior influences dimensions. Calibration deltas in v1 are
+ * best-guess starting points; v2 recalibrates from real observed data.
+ *
+ * Design principles
+ * -----------------
+ * 1. Hand-crafted, not agent-inferred (Codex #4, user Decision C).
+ *    Every mapping is explicit TypeScript — no runtime NL interpretation.
+ *
+ * 2. Small, conservative deltas (±0.03 to ±0.06 typical).
+ *    A single answer should nudge the profile, not reshape it. Repeated
+ *    answers across sessions accumulate.
+ *
+ * 3. Tied to registry signal_key.
+ *    Each entry in this map corresponds to a signal_key declared in
+ *    scripts/question-registry.ts. The derivation pipeline uses the
+ *    question's signal_key + user_choice as the lookup key.
+ *
+ * 4. Not every question contributes to every dimension.
+ *    Many questions have no signal_key — they're logged but don't move
+ *    the psychographic. Only questions that genuinely reveal preference
+ *    get a signal_key.
+ *
+ * Dimensions
+ * ----------
+ *   scope_appetite:     0 = small-scope, ship fast  ↔  1 = boil the ocean
+ *   risk_tolerance:     0 = conservative, ask first ↔  1 = move fast, auto-decide
+ *   detail_preference:  0 = terse, just do it       ↔  1 = verbose, explain everything
+ *   autonomy:           0 = hands-on, consult me    ↔  1 = delegate, trust the agent
+ *   architecture_care:  0 = pragmatic, ship it      ↔  1 = principled, get it right
+ */
+
+import { QUESTIONS } from './question-registry';
+
+/** The 5 dimensions of the developer psychographic. */
+export type Dimension =
+  | 'scope_appetite'
+  | 'risk_tolerance'
+  | 'detail_preference'
+  | 'autonomy'
+  | 'architecture_care';
+
+export const ALL_DIMENSIONS: readonly Dimension[] = [
+  'scope_appetite',
+  'risk_tolerance',
+  'detail_preference',
+  'autonomy',
+  'architecture_care',
+] as const;
+
+/**
+ * Semantic version of the signal map. Increment when deltas change so that
+ * cached profiles can detect staleness and recompute from events.
+ */
+export const SIGNAL_MAP_VERSION = '0.1.0';
+
+export interface DimensionDelta {
+  dim: Dimension;
+  delta: number;
+}
+
+/**
+ * Signal map: signal_key → user_choice → list of dimension nudges.
+ *
+ * Indexed by signal_key (declared in question-registry entries), not
+ * question_id directly. This lets multiple questions share a semantic
+ * pattern (e.g., scope-appetite signal comes from both plan-ceo-review
+ * expansion proposals AND office-hours approach selection).
+ */
+export const SIGNAL_MAP: Record<string, Record<string, DimensionDelta[]>> = {
+  // -----------------------------------------------------------------------
+  // scope-appetite — how much the user likes to expand scope
+  // -----------------------------------------------------------------------
+  'scope-appetite': {
+    // plan-ceo-review mode choice
+    expand: [{ dim: 'scope_appetite', delta: +0.06 }],
+    selective: [{ dim: 'scope_appetite', delta: +0.03 }],
+    hold: [{ dim: 'scope_appetite', delta: -0.01 }],
+    reduce: [{ dim: 'scope_appetite', delta: -0.06 }],
+    // plan-ceo-review expansion proposal accepted/deferred/skipped
+    accept: [{ dim: 'scope_appetite', delta: +0.04 }],
+    defer: [{ dim: 'scope_appetite', delta: -0.01 }],
+    skip: [{ dim: 'scope_appetite', delta: -0.03 }],
+    // office-hours approach choice
+    minimal: [{ dim: 'scope_appetite', delta: -0.04 }],
+    ideal: [{ dim: 'scope_appetite', delta: +0.05 }],
+    creative: [{ dim: 'scope_appetite', delta: +0.02 }],
+  },
+
+  // -----------------------------------------------------------------------
+  // architecture-care — how much the user sweats the details
+  // -----------------------------------------------------------------------
+  'architecture-care': {
+    'fix-now': [
+      { dim: 'architecture_care', delta: +0.05 },
+      { dim: 'risk_tolerance', delta: -0.02 },
+    ],
+    defer: [{ dim: 'architecture_care', delta: -0.02 }],
+    'accept-risk': [
+      { dim: 'architecture_care', delta: -0.04 },
+      { dim: 'risk_tolerance', delta: +0.04 },
+    ],
+  },
+
+  // -----------------------------------------------------------------------
+  // code-quality-care — proxies detail_preference + architecture_care
+  // -----------------------------------------------------------------------
+  'code-quality-care': {
+    'fix-now': [
+      { dim: 'detail_preference', delta: +0.02 },
+      { dim: 'architecture_care', delta: +0.03 },
+    ],
+    'ack-and-ship': [
+      { dim: 'risk_tolerance', delta: +0.03 },
+      { dim: 'architecture_care', delta: -0.02 },
+    ],
+    'false-positive': [{ dim: 'architecture_care', delta: +0.01 }],
+    defer: [{ dim: 'architecture_care', delta: -0.02 }],
+    skip: [{ dim: 'detail_preference', delta: -0.03 }],
+  },
+
+  // -----------------------------------------------------------------------
+  // test-discipline — proxies architecture_care + detail_preference
+  // -----------------------------------------------------------------------
+  'test-discipline': {
+    'fix-now': [
+      { dim: 'architecture_care', delta: +0.04 },
+      { dim: 'detail_preference', delta: +0.02 },
+    ],
+    investigate: [{ dim: 'architecture_care', delta: +0.02 }],
+    'ack-and-ship': [
+      { dim: 'risk_tolerance', delta: +0.04 },
+      { dim: 'architecture_care', delta: -0.03 },
+    ],
+    'add-test': [
+      { dim: 'architecture_care', delta: +0.03 },
+      { dim: 'detail_preference', delta: +0.02 },
+    ],
+    defer: [{ dim: 'architecture_care', delta: -0.01 }],
+    skip: [{ dim: 'architecture_care', delta: -0.04 }],
+  },
+
+  // -----------------------------------------------------------------------
+  // detail-preference — direct signal for verbosity
+  // -----------------------------------------------------------------------
+  'detail-preference': {
+    accept: [{ dim: 'detail_preference', delta: +0.03 }],
+    skip: [{ dim: 'detail_preference', delta: -0.03 }],
+  },
+
+  // -----------------------------------------------------------------------
+  // design-care — proxies architecture_care for UI-facing work
+  // -----------------------------------------------------------------------
+  'design-care': {
+    expand: [{ dim: 'architecture_care', delta: +0.04 }],
+    polish: [{ dim: 'architecture_care', delta: +0.02 }],
+    triage: [{ dim: 'architecture_care', delta: -0.02 }],
+    'fix-now': [{ dim: 'architecture_care', delta: +0.02 }],
+    defer: [{ dim: 'architecture_care', delta: -0.01 }],
+    skip: [{ dim: 'architecture_care', delta: -0.03 }],
+  },
+
+  // -----------------------------------------------------------------------
+  // devex-care — DX is UX for developers; proxies architecture_care
+  // -----------------------------------------------------------------------
+  'devex-care': {
+    expand: [{ dim: 'architecture_care', delta: +0.04 }],
+    polish: [{ dim: 'architecture_care', delta: +0.02 }],
+    triage: [{ dim: 'architecture_care', delta: -0.02 }],
+    'fix-now': [{ dim: 'architecture_care', delta: +0.02 }],
+    defer: [{ dim: 'architecture_care', delta: -0.01 }],
+    skip: [{ dim: 'architecture_care', delta: -0.03 }],
+  },
+
+  // -----------------------------------------------------------------------
+  // distribution-care — does the user care about how code reaches users?
+  // -----------------------------------------------------------------------
+  'distribution-care': {
+    accept: [{ dim: 'architecture_care', delta: +0.03 }],
+    defer: [{ dim: 'architecture_care', delta: -0.02 }],
+    skip: [{ dim: 'architecture_care', delta: -0.04 }],
+  },
+
+  // -----------------------------------------------------------------------
+  // session-mode — office-hours goal selection
+  // -----------------------------------------------------------------------
+  'session-mode': {
+    startup: [
+      { dim: 'scope_appetite', delta: +0.02 },
+      { dim: 'architecture_care', delta: +0.02 },
+    ],
+    intrapreneur: [{ dim: 'scope_appetite', delta: +0.02 }],
+    hackathon: [
+      { dim: 'risk_tolerance', delta: +0.03 },
+      { dim: 'architecture_care', delta: -0.02 },
+    ],
+    'oss-research': [{ dim: 'architecture_care', delta: +0.02 }],
+    learning: [{ dim: 'detail_preference', delta: +0.02 }],
+    fun: [{ dim: 'risk_tolerance', delta: +0.02 }],
+  },
+};
+
+/**
+ * Apply a user choice for a question to the running dimension totals.
+ *
+ * @param dims - running total of dimension nudges (mutated)
+ * @param signal_key - from the question registry entry
+ * @param user_choice - the option key the user selected
+ * @returns list of dimension deltas applied (empty if no mapping)
+ */
+export function applySignal(
+  dims: Record<Dimension, number>,
+  signal_key: string,
+  user_choice: string,
+): DimensionDelta[] {
+  const subMap = SIGNAL_MAP[signal_key];
+  if (!subMap) return [];
+  const deltas = subMap[user_choice];
+  if (!deltas) return [];
+  for (const { dim, delta } of deltas) {
+    dims[dim] = (dims[dim] ?? 0) + delta;
+  }
+  return deltas;
+}
+
+/**
+ * Validate that every signal_key referenced in the registry has a matching
+ * entry in SIGNAL_MAP. Called by tests to catch drift.
+ */
+export function validateRegistrySignalKeys(): {
+  missing: string[];
+  extra: string[];
+} {
+  const registrySignalKeys = new Set<string>();
+  for (const q of Object.values(QUESTIONS)) {
+    if (q.signal_key) registrySignalKeys.add(q.signal_key);
+  }
+  const mapKeys = new Set(Object.keys(SIGNAL_MAP));
+  const missing: string[] = [];
+  const extra: string[] = [];
+  for (const k of registrySignalKeys) {
+    if (!mapKeys.has(k)) missing.push(k);
+  }
+  for (const k of mapKeys) {
+    if (!registrySignalKeys.has(k)) extra.push(k);
+  }
+  return { missing, extra };
+}
+
+/** Empty dimension totals — starting point for derivation. */
+export function newDimensionTotals(): Record<Dimension, number> {
+  return {
+    scope_appetite: 0,
+    risk_tolerance: 0,
+    detail_preference: 0,
+    autonomy: 0,
+    architecture_care: 0,
+  };
+}
+
+/** Sigmoid clamp: map accumulated delta total to [0, 1]. */
+export function normalizeToDimensionValue(total: number): number {
+  // Simple sigmoid: each 1.0 of accumulated delta approaches saturation.
+  // 0.5 is neutral. Positive deltas push toward 1, negative toward 0.
+  return 1 / (1 + Math.exp(-total * 3));
+}

test/plan-tune.test.ts

@@ -27,6 +27,20 @@ import {
   DESTRUCTIVE_PATTERN_LIST,
   ONE_WAY_SKILL_CATEGORY_SET,
 } from '../scripts/one-way-doors';
+import {
+  SIGNAL_MAP,
+  applySignal,
+  validateRegistrySignalKeys,
+  newDimensionTotals,
+  normalizeToDimensionValue,
+  ALL_DIMENSIONS,
+} from '../scripts/psychographic-signals';
+import {
+  ARCHETYPES,
+  FALLBACK_ARCHETYPE,
+  matchArchetype,
+  getAllArchetypeNames,
+} from '../scripts/archetypes';
 import * as fs from 'fs';
 import * as path from 'path';
 
@@ -211,10 +225,10 @@ describe('registry breadth', () => {
 });
 
 // -----------------------------------------------------------------------
-// Signal map consistency (created alongside registry)
+// Signal map consistency
 // -----------------------------------------------------------------------
 
-describe('psychographic signal map references', () => {
+describe('psychographic signal map', () => {
   test('signal_keys in registry are typed strings', () => {
     for (const q of Object.values(QUESTIONS as Record<string, QuestionDef>)) {
       if (q.signal_key !== undefined) {
@@ -225,8 +239,121 @@ describe('psychographic signal map references', () => {
     }
   });
 
-  // When scripts/psychographic-signals.ts ships, add a test that every
-  // signal_key referenced in QUESTIONS has a matching entry in the signal map.
+  test('every signal_key in registry has a SIGNAL_MAP entry', () => {
+    const { missing } = validateRegistrySignalKeys();
+    expect(missing).toEqual([]);
+  });
+
+  test('applySignal mutates dimension totals per mapping', () => {
+    const dims = newDimensionTotals();
+    const applied = applySignal(dims, 'scope-appetite', 'expand');
+    expect(applied.length).toBeGreaterThan(0);
+    expect(dims.scope_appetite).toBeCloseTo(0.06, 5);
+  });
+
+  test('applySignal returns [] for unknown signal_key', () => {
+    const dims = newDimensionTotals();
+    const applied = applySignal(dims, 'no-such-signal', 'anything');
+    expect(applied).toEqual([]);
+    expect(dims.scope_appetite).toBe(0);
+  });
+
+  test('applySignal returns [] for unknown user_choice', () => {
+    const dims = newDimensionTotals();
+    const applied = applySignal(dims, 'scope-appetite', 'definitely-not-a-real-choice');
+    expect(applied).toEqual([]);
+  });
+
+  test('normalizeToDimensionValue maps 0 → 0.5 (neutral)', () => {
+    expect(normalizeToDimensionValue(0)).toBeCloseTo(0.5, 5);
+  });
+
+  test('normalizeToDimensionValue returns values in [0, 1]', () => {
+    for (const total of [-10, -1, -0.5, 0, 0.5, 1, 10]) {
+      const v = normalizeToDimensionValue(total);
+      expect(v).toBeGreaterThanOrEqual(0);
+      expect(v).toBeLessThanOrEqual(1);
+    }
+  });
+
+  test('ALL_DIMENSIONS has 5 entries', () => {
+    expect(ALL_DIMENSIONS.length).toBe(5);
+  });
+
+  test('no extra SIGNAL_MAP keys without registry reference (informational)', () => {
+    // Extra keys are allowed (a signal might be reserved for upcoming registry
+    // entries). But list them so drift is visible.
+    const { extra } = validateRegistrySignalKeys();
+    // Allow up to 3 "reserved" extras before flagging. Tighten later.
+    expect(extra.length).toBeLessThanOrEqual(3);
+  });
+});
+
+// -----------------------------------------------------------------------
+// Archetypes
+// -----------------------------------------------------------------------
+
+describe('archetypes', () => {
+  test('each archetype has name, description, center, tightness', () => {
+    for (const arch of ARCHETYPES) {
+      expect(arch.name).toBeDefined();
+      expect(arch.description).toBeDefined();
+      expect(arch.center).toBeDefined();
+      expect(arch.tightness).toBeGreaterThan(0);
+      for (const d of ALL_DIMENSIONS) {
+        expect(typeof arch.center[d]).toBe('number');
+        expect(arch.center[d]).toBeGreaterThanOrEqual(0);
+        expect(arch.center[d]).toBeLessThanOrEqual(1);
+      }
+    }
+  });
+
+  test('archetype names are unique', () => {
+    const names = ARCHETYPES.map((a) => a.name);
+    expect(new Set(names).size).toBe(names.length);
+  });
+
+  test('matchArchetype returns Cathedral Builder for boil-the-ocean profile', () => {
+    const dims = {
+      scope_appetite: 0.88,
+      risk_tolerance: 0.55,
+      detail_preference: 0.5,
+      autonomy: 0.5,
+      architecture_care: 0.85,
+    };
+    const match = matchArchetype(dims);
+    expect(match.name).toBe('Cathedral Builder');
+  });
+
+  test('matchArchetype returns Ship-It Pragmatist for small-scope/fast profile', () => {
+    const dims = {
+      scope_appetite: 0.22,
+      risk_tolerance: 0.78,
+      detail_preference: 0.25,
+      autonomy: 0.7,
+      architecture_care: 0.38,
+    };
+    const match = matchArchetype(dims);
+    expect(match.name).toBe('Ship-It Pragmatist');
+  });
+
+  test('matchArchetype returns Polymath for extreme-outlier profile', () => {
+    const dims = {
+      scope_appetite: 0.05,
+      risk_tolerance: 0.95,
+      detail_preference: 0.95,
+      autonomy: 0.05,
+      architecture_care: 0.05,
+    };
+    const match = matchArchetype(dims);
+    expect(match.name).toBe(FALLBACK_ARCHETYPE.name);
+  });
+
+  test('getAllArchetypeNames includes Polymath fallback', () => {
+    const names = getAllArchetypeNames();
+    expect(names).toContain('Polymath');
+    expect(names.length).toBe(ARCHETYPES.length + 1);
+  });
 });
 
 // -----------------------------------------------------------------------