feat(plan-tune): per-dimension contributing_events in the inferred profile

Port of the provenance part of #2625 by @v639dragoon: --derive records, per
dimension, how many unique log rows moved it, so "no evidence" and
"balanced evidence" no longer both print a bare 0.5. Also ports the test
harness fix: logQuestion sets GSTACK_QUESTION_LOG_NO_DERIVE=1 so the
background derive cannot race the test's own --derive.

The registry-independent autonomy signal from #2625 stays parked, as the
Oct 8 review decided.

Co-authored-by: v639dragoon <matthew@dohma.ai>
Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com>

bin/gstack-developer-profile

@@ -437,6 +437,11 @@ do_derive() {
       const skills = new Set();
       const qids = new Set();
       const days = new Set();
+      // Provenance: UNIQUE ROWS contributing to each dimension, not signal
+      // applications. One row can apply several deltas, and conflating them
+      // would overstate the evidence (#2625).
+      const contributors = {};
+      for (const d of Object.keys(totals)) contributors[d] = new Set();
       let count = 0;
       let signalEvents = 0;
       for (const line of lines) {
@@ -448,10 +453,12 @@ do_derive() {
         qids.add(e.question_id);
         if (e.ts) days.add(String(e.ts).slice(0,10));
         const def = QUESTIONS[e.question_id];
-        if (def && def.signal_key && applySignal(totals, def.signal_key, e.user_choice).length > 0) {
-          signalEvents++;
-        }
+        const applied = def && def.signal_key ? applySignal(totals, def.signal_key, e.user_choice) : [];
+        if (applied.length > 0) signalEvents++;
+        for (const d of applied) contributors[d.dim]?.add(count);
       }
+      const contributingEvents = {};
+      for (const d of Object.keys(totals)) contributingEvents[d] = contributors[d].size;
 
       const values = {};
       for (const [dim, total] of Object.entries(totals)) {
@@ -464,6 +471,9 @@ do_derive() {
         // Events that actually moved a dimension (B10): sample_size counts every
         // logged answer, most of which match no signal and leave the 0.5 seed.
         signal_events: signalEvents,
+        // Distinguishes 'no evidence' from 'balanced evidence': both print
+        // 0.5, which is how five 0.5s sat beside sample_size 1286 (#2623).
+        contributing_events: contributingEvents,
         diversity: {
           skills_covered: skills.size,
           question_ids_covered: qids.size,

test/gstack-developer-profile.test.ts

@@ -47,7 +47,9 @@ function runDev(...args: string[]): { stdout: string; stderr: string; status: nu
 
 function logQuestion(payload: Record<string, unknown>): number {
   const res = spawnSync(BIN_LOG, [JSON.stringify(payload)], {
-    env: { ...process.env, GSTACK_HOME: tmpHome },
+    // gstack-question-log fires `--derive` in the background after every
+    // append, which races the explicit runDev('--derive') a test then makes.
+    env: { ...process.env, GSTACK_HOME: tmpHome, GSTACK_QUESTION_LOG_NO_DERIVE: '1' },
     encoding: 'utf-8',
     cwd: ROOT,
     timeout: 30_000,
@@ -308,6 +310,31 @@ describe('gstack-developer-profile --derive', () => {
     expect(p.inferred.sample_size).toBe(1);
     expect(p.inferred.values.scope_appetite).toBeCloseTo(0.5, 2);
   });
+
+  test('contributing_events counts unique rows per dimension (#2625)', () => {
+    // plan-eng-review-arch-finding → fix-now writes architecture_care AND
+    // risk_tolerance from one row; an ad-hoc row writes nothing.
+    for (let i = 0; i < 2; i++) {
+      logQuestion({ skill: 'plan-eng-review', question_id: 'plan-eng-review-arch-finding', question_summary: 'arch?', user_choice: 'fix-now', session_id: `s${i}` });
+    }
+    logQuestion({ skill: 'plan-eng-review', question_id: 'adhoc-unregistered-question', question_summary: 'x', user_choice: 'fix-now', session_id: 's9' });
+    runDev('--derive');
+    const p = readProfile() as { inferred: { contributing_events: Record<string, number>; signal_events: number } };
+    expect(p.inferred.contributing_events).toEqual({
+      scope_appetite: 0,
+      risk_tolerance: 2,
+      detail_preference: 0,
+      autonomy: 0,
+      architecture_care: 2,
+    });
+    expect(p.inferred.signal_events).toBe(2);
+  });
+
+  test('contributing_events is all zero when no answer matches a signal', () => {
+    runDev('--derive');
+    const p = readProfile() as { inferred: { contributing_events: Record<string, number> } };
+    expect(Object.values(p.inferred.contributing_events)).toEqual([0, 0, 0, 0, 0]);
+  });
 });
 
 // -----------------------------------------------------------------------