feat(ms-ai-architect): Spor 3 Port 3 (CT5) — deterministisk sourcedness erstatter LLM-samplet K8 [skip-docs]

§4 Port 3 verifiseringskrav: «CT5 (sourcedness) ERSTATTER K8s rolle». K8 var
LLM-judge (sample 5 ref-filer, ikke-deterministisk); CT5 er samme signal gjort
deterministisk + hel-korpus fra Port 1-kontrakten. Per ref-kb-direction-note §45
MÅ de ikke leve parallelt (dobbelttelling + divergerende dashbord) — så K8 er
fjernet, ikke duplisert.

eval.mjs: checkCT5(refFiles) — blant filer som deklarerer type:reference, andel
med **Source:** (template/methodology/regulatory ekskludert fra nevneren).
Wiret som deterministic.CT5_sourcedness. parseTypeHeader/parseSourceHeader
importert fra kb-update/lib/kb-headers (tillatt retning).

skill-score.mjs: K8-kriteriet (source:judge) → CT5 (source:det, vekt 1).
available:false når referenceFiles=0 → droppet fra vektet snitt → tanker IKKE
scoren på umigrert korpus (alarm-tretthet unngått, direction-note §45).

judge-prompt.md: K8 fjernet fra rubrikk/instruksjon/JSON (judgen gjør nå
K1/K4/K7/K9).

Ekte kjøring: alle 5 skills CT5 dormant (referenceFiles:0, umigrert), scorer
uendret (91-96, 0 under mål). CT5 aktiveres deterministisk når Spor 1 migrerer.

TDD (Iron Law): 5 checkCT5 + 3 CT5-integrasjon; død K8-fixture-data ryddet.
Suite 620/620. Plugin-validering 239/0/0.

scripts/kb-eval/eval.mjs

@@ -3,7 +3,7 @@
 //
 // READ-ONLY by default. Computes the deterministic criteria (K2/K3/K5/K6 +
 // reference-count consistency) for every skill and extracts the inputs an LLM
-// judge needs for the semantic criteria (K1/K4/K7/K8/K9). The baseline file is
+// judge needs for the semantic criteria (K1/K4/K7/K9). The baseline file is
 // written ONLY with --write (operator gate), per the redesign spec.
 //
 // Usage:
@@ -17,6 +17,7 @@ import { readdirSync, readFileSync, existsSync, mkdirSync } from 'node:fs';
 import { join, dirname, relative } from 'node:path';
 import { fileURLToPath } from 'node:url';
 import { atomicWriteJson } from '../kb-update/lib/atomic-write.mjs';
+import { parseTypeHeader, parseSourceHeader } from '../kb-update/lib/kb-headers.mjs';
 import {
   computeOverlapFromInputs,
   perSkillSiblingOverlap,
@@ -33,6 +34,7 @@ const PROMPTS_FILE = join(OUT_DIR, 'k1-trigger-prompts.json');
 // Thresholds — see spec "Rubrikk K1–K10".
 const K3_MAX_BODY_LINES = 500;
 const K5_MIN_NAMED_RATIO = 0.2;
+const CT5_SOURCED_RATIO_TARGET = 0.8; // pass at/above this share of sourced reference files (mirrors old K8)
 
 /** Recursively list .md files under dir. */
 function listMarkdown(dir) {
@@ -261,6 +263,34 @@ export function checkN5(body) {
   return { windowsPaths, pass: windowsPaths.length === 0 };
 }
 
+/**
+ * CT5 — sourcedness (deterministic, whole-corpus). REPLACES the LLM-sampled K8
+ * (same signal; per ref-kb-direction-note §45 the two must not run in parallel
+ * or they double-count and two dashboards diverge). Scope is the Port 1
+ * contract: only files declaring `type: reference` are in scope; CT5 is the
+ * fraction of those that cite a **Source:**. template/methodology/regulatory are
+ * exempt (excluded from the denominator). On an unmigrated corpus no file
+ * declares a type, so referenceFiles is 0 and the score layer drops CT5
+ * (available:false) — it never tanks the score before migration adopts the
+ * contract.
+ * @param {Array<{path: string, content: string}>} refFiles
+ * @returns {{referenceFiles: number, sourced: number, ratio: number, pass: boolean, unsourced: string[]}}
+ */
+export function checkCT5(refFiles) {
+  let referenceFiles = 0;
+  let sourced = 0;
+  const unsourced = [];
+  for (const f of refFiles) {
+    if (parseTypeHeader(f.content) !== 'reference') continue; // out of scope
+    referenceFiles++;
+    if (parseSourceHeader(f.content)) sourced++;
+    else unsourced.push(f.path);
+  }
+  const ratio = referenceFiles ? sourced / referenceFiles : 0;
+  const pass = referenceFiles === 0 ? true : ratio >= CT5_SOURCED_RATIO_TARGET;
+  return { referenceFiles, sourced, ratio, pass, unsourced: unsourced.slice(0, 12) };
+}
+
 export function evalSkill(skillName) {
   const skillDir = join(SKILLS_DIR, skillName);
   const skillMd = join(skillDir, 'SKILL.md');
@@ -284,6 +314,7 @@ export function evalSkill(skillName) {
   const N3 = checkN3(refFileContents);
   const N4 = checkN4(refFileContents);
   const N5 = checkN5(body);
+  const CT5 = checkCT5(refFileContents);
 
   return {
     name: skillName,
@@ -302,9 +333,11 @@ export function evalSkill(skillName) {
       N3_refNestingDepth: N3,
       N4_refToc: N4,
       N5_forwardSlashPaths: N5,
+      CT5_sourcedness: CT5,
     },
-    // Pointers for the LLM-judge pass (K1/K4/K7/K8/K9). The judge reads the files
+    // Pointers for the LLM-judge pass (K1/K4/K7/K9). The judge reads the files
-    // directly; we only carry the description + sampled ref files here.
+    // directly; we only carry the description + sampled ref files here. (K8
+    // sourcedness is now the deterministic CT5 above — no longer LLM-sampled.)
     judgeInputs: {
       description,
       bodyLines: K3.bodyLines,
@@ -354,7 +387,7 @@ export function buildReport() {
     attachSiblingOverlap(skills, promptSet);
   }
 
-  // Merge operator-gated LLM-judge results (K1/K4/K7/K8/K9) if present.
+  // Merge operator-gated LLM-judge results (K1/K4/K7/K9) if present.
   const judgeFile = join(OUT_DIR, 'judge-results.json');
   if (existsSync(judgeFile)) {
     const jr = JSON.parse(readFileSync(judgeFile, 'utf8'));
@@ -363,7 +396,7 @@ export function buildReport() {
 
   return {
     rubric: 'K1-K10',
-    note: 'Deterministic: K2,K3,K5,K6,refCountConsistency,K10(siblingScopeOverlap),N1-N5. LLM-judge (operator-gated): K1,K4,K7,K8,K9.',
+    note: 'Deterministic: K2,K3,K5,K6,refCountConsistency,K10(siblingScopeOverlap),N1-N5,CT5(sourcedness). LLM-judge (operator-gated): K1,K4,K7,K9.',
     skills,
   };
 }
@@ -405,7 +438,7 @@ function main() {
     console.log(`   K9 hints       : ${d.K9_timeSensitiveHints.timeSensitiveTokenHits} tid-sensitive tokens i body`);
     console.log('');
   }
-  console.log(`(LLM-judge K1/K4/K7/K8/K9 kjøres som operatør-gated subagent-steg; baseline skrives med --write.)\n`);
+  console.log(`(LLM-judge K1/K4/K7/K9 kjøres som operatør-gated subagent-steg; baseline skrives med --write.)\n`);
 }
 
 // Run only when invoked directly (not when imported by tests).

scripts/kb-eval/judge-prompt.md

@@ -1,19 +1,19 @@
-# LLM-judge-rubrikk (K1/K4/K7/K8/K9) — skill-kvalitet, ms-ai-architect
+# LLM-judge-rubrikk (K1/K4/K7/K9) — skill-kvalitet, ms-ai-architect
 
 Pinnet rubrikk for de semantiske eval-kriteriene som ikke kan måles deterministisk.
 Kjøres som operatør-gated subagent-steg (Opus, én dommer per skill). De deterministiske
-kriteriene (K2/K3/K5/K6 + ref-tall) måles av `eval.mjs`; denne dekker resten.
+kriteriene (K2/K3/K5/K6 + ref-tall + CT5 sourcedness) måles av `eval.mjs`; denne dekker
+resten. (Sourcedness var tidligere LLM-samplet K8; nå deterministisk CT5 — se eval.mjs.)
 
 Placeholders: `<NAME>` = skill-navn, `<ROOT>` = plugin-rot, `<PATH>` = sti til SKILL.md.
 
 ---
 
 Du er en skill-kvalitets-dommer (LLM-as-judge) for ms-ai-architect. Vurder skillen
-`<NAME>` mot K1/K4/K7/K8/K9. Plugin-rot: `<ROOT>`. SKILL.md: `<PATH>`. Referansefiler:
+`<NAME>` mot K1/K4/K7/K9. Plugin-rot: `<ROOT>`. SKILL.md: `<PATH>`. Referansefiler:
 `<ROOT>/skills/<NAME>/references/`.
 
-Les SKILL.md i sin helhet. For K8: sample 5 tilfeldige referansefiler og les headeren deres.
+Les SKILL.md i sin helhet. Vær streng og adversariell — ikke ros, ikke pynt på tall.
-Vær streng og adversariell — ikke ros, ikke pynt på tall.
 
 - **K1 trigger-presisjon:** last det operatør-kuraterte settet for `<NAME>` fra
   `<ROOT>/scripts/kb-eval/data/k1-trigger-prompts.json` (nøkkel `<NAME>`: `in_domain` [10] +
@@ -28,8 +28,6 @@ Vær streng og adversariell — ikke ros, ikke pynt på tall.
   i SKILL.md body som dupliserer ref-filer? Gi konkret eksempel. pass = score ≥ 4.
 - **K7 imperativ/instruksjons-stil:** sample 10 instruksjonssetninger fra body; andel i
   imperativ/infinitiv. pass = ratio ≥ 0.80.
-- **K8 kildehenvisning i ref-filer:** for 5 samplede ref-filer, har header `Last updated` /
-  `Verified` / kilde-URL? Rapporter andel. pass = ratio ≥ 0.80.
 - **K9 ingen VOLATIL tid-sensitiv info i SKILL.md body:** finnes **volatile** påstander DIREKTE i body
   (ikke i ref-filer) — GA/preview-release-status, modellversjoner, SLA-/ytelses-/pris-tall, regions-
   tilgjengelighet? List funn. pass = ingen volatile funn. **Utenfor scope (ikke funn):** stabile
@@ -40,5 +38,5 @@ Vær streng og adversariell — ikke ros, ikke pynt på tall.
 RETURNER KUN dette JSON-objektet (ingen annen tekst, ingen markdown-fence):
 
 ```
-{"skill":"<NAME>","K1_triggerPrecision":{"provisional":false,"inDomainHitRate":0.0,"outDomainFalsePositiveRate":0.0,"precision":0.0,"pass":false,"misclassified":[],"notes":""},"K4_noDuplication":{"score":0,"pass":false,"evidence":""},"K7_imperativeStyle":{"ratio":0.0,"pass":false,"notes":""},"K8_sourceCitation":{"ratio":0.0,"pass":false,"sampledFiles":[],"notes":""},"K9_noTimeSensitive":{"pass":false,"findings":[]}}
+{"skill":"<NAME>","K1_triggerPrecision":{"provisional":false,"inDomainHitRate":0.0,"outDomainFalsePositiveRate":0.0,"precision":0.0,"pass":false,"misclassified":[],"notes":""},"K4_noDuplication":{"score":0,"pass":false,"evidence":""},"K7_imperativeStyle":{"ratio":0.0,"pass":false,"notes":""},"K9_noTimeSensitive":{"pass":false,"findings":[]}}
 ```

scripts/kb-eval/lib/skill-score.mjs

@@ -109,12 +109,16 @@ export const CRITERIA = [
     },
   },
   {
-    key: 'K8', label: 'kildehenvisning refs', weight: 1, floor: false, source: 'judge',
+    // CT5 — sourcedness (deterministic, whole-corpus). REPLACES the LLM-sampled
-    fix: 'Legg dated/Verified-header eller kilde-URL i ref-filene (≥0.80 andel).',
+    // K8 (same signal; must not run in parallel — ref-kb-direction-note §45).
+    // Dormant (available:false) until Port 1 migration declares reference types,
+    // so it never tanks the score on an unmigrated corpus.
+    key: 'CT5', label: 'sourcedness refs', weight: 1, floor: false, source: 'det',
+    fix: 'Gi ref-filene **Source:**-URL (Port 1-kontrakt) — ≥0.80 andel av type:reference-filer.',
     read: (e) => {
-      const j = e.judge?.K8_sourceCitation;
+      const k = e.deterministic?.CT5_sourcedness;
-      if (!j) return { available: false };
+      if (!k || !k.referenceFiles) return { available: false };
-      return { available: true, sub: clamp01(num(j.ratio)), pass: !!j.pass, detail: `ratio ${num(j.ratio)}` };
+      return { available: true, sub: clamp01(num(k.ratio)), pass: !!k.pass, detail: `${num(k.sourced)}/${num(k.referenceFiles)} sourced` };
     },
   },
   {

tests/kb-eval/test-apply-score-cache.test.mjs

@@ -40,7 +40,6 @@ function skill(name, { k10Pass = true, k10Combined = 1, worst = 'other' } = {})
       K4_noDuplication: { score: 5, pass: true },
       K9_noTimeSensitive: { pass: true, findings: [] },
       K7_imperativeStyle: { ratio: 1, pass: true },
-      K8_sourceCitation: { ratio: 1, pass: true },
     },
   };
 }

tests/kb-eval/test-eval.test.mjs

@@ -16,6 +16,7 @@ import {
   checkN3,
   checkN4,
   checkN5,
+  checkCT5,
 } from '../../scripts/kb-eval/eval.mjs';
 
 test('splitFrontmatter — separates frontmatter from body', () => {
@@ -229,3 +230,67 @@ test('checkN5 — Windows backslash path fails', () => {
 test('checkN5 — drive-letter path fails', () => {
   assert.equal(checkN5('Save to C:\\Users\\x\\file.md').pass, false);
 });
+
+// --- CT5 — sourcedness (deterministic, whole-corpus). REPLACES the LLM-sampled
+// K8 (same signal, must not live in parallel — ref-kb-direction-note §45). Scope
+// is the Port 1 contract: only files declared `type: reference` are in scope;
+// CT5 = fraction of those that cite a **Source:**. template/methodology/
+// regulatory are exempt (excluded from the denominator). When no file declares
+// `type: reference` (unmigrated legacy corpus) the denominator is 0 — CT5 is then
+// dormant (the score layer drops it; it does not tank the score).
+
+const refFile = (over) => ({ path: 'references/x.md', content: '', ...over });
+const srcLine = '**Source:** https://learn.microsoft.com/azure/x\n';
+
+test('checkCT5 — all declared reference files cite a source → ratio 1, pass', () => {
+  const refs = [
+    refFile({ path: 'references/a.md', content: '# A\n**Type:** reference\n' + srcLine }),
+    refFile({ path: 'references/b.md', content: '# B\n**Type:** reference\n' + srcLine }),
+  ];
+  const r = checkCT5(refs);
+  assert.equal(r.referenceFiles, 2);
+  assert.equal(r.sourced, 2);
+  assert.equal(r.ratio, 1);
+  assert.equal(r.pass, true);
+});
+
+test('checkCT5 — a reference file missing **Source:** lowers the ratio', () => {
+  const refs = [
+    refFile({ path: 'references/a.md', content: '# A\n**Type:** reference\n' + srcLine }),
+    refFile({ path: 'references/b.md', content: '# B\n**Type:** reference\n' }), // no source
+  ];
+  const r = checkCT5(refs);
+  assert.equal(r.referenceFiles, 2);
+  assert.equal(r.sourced, 1);
+  assert.equal(r.ratio, 0.5);
+  assert.equal(r.pass, false);
+});
+
+test('checkCT5 — template/methodology/regulatory are excluded from the denominator', () => {
+  const refs = [
+    refFile({ path: 'references/r.md', content: '# R\n**Type:** reference\n' + srcLine }),
+    refFile({ path: 'references/t.md', content: '# T\n**Type:** template\n' }),
+    refFile({ path: 'references/m.md', content: '# M\n**Type:** methodology\n' }),
+    refFile({ path: 'references/g.md', content: '# G\n**Type:** regulatory\n' }),
+  ];
+  const r = checkCT5(refs);
+  assert.equal(r.referenceFiles, 1, 'only the one reference file is in scope');
+  assert.equal(r.sourced, 1);
+  assert.equal(r.ratio, 1);
+});
+
+test('checkCT5 — no file declares type:reference (unmigrated legacy) → referenceFiles 0', () => {
+  const refs = [
+    refFile({ path: 'references/a.md', content: '# A\n**Last updated:** 2026-04\n' }),
+    refFile({ path: 'references/b.md', content: '# B\nplain prose, no headers\n' }),
+  ];
+  const r = checkCT5(refs);
+  assert.equal(r.referenceFiles, 0, 'denominator empty until Port 1 migration declares types');
+});
+
+test('checkCT5 — 0.80 is the pass threshold (mirrors the old K8 ratio target)', () => {
+  const mk = (n, withSrc) => Array.from({ length: n }, (_, i) =>
+    refFile({ path: `references/f${i}.md`, content: '**Type:** reference\n' + (i < withSrc ? srcLine : '') }));
+  assert.equal(checkCT5(mk(5, 4)).pass, true, '4/5 = 0.80 passes');
+  assert.equal(checkCT5(mk(5, 3)).pass, false, '3/5 = 0.60 fails');
+});

tests/kb-eval/test-skill-score-gate.test.mjs

@@ -47,7 +47,6 @@ const FULL_JUDGE = {
   K4_noDuplication: { score: 5, pass: true },
   K9_noTimeSensitive: { pass: true, findings: [] },
   K7_imperativeStyle: { ratio: 1, pass: true },
-  K8_sourceCitation: { ratio: 1, pass: true },
 };
 
 test('gateSkill — affected skill that meets the target is not blocked', () => {

tests/kb-eval/test-skill-score.test.mjs

@@ -7,7 +7,7 @@
 
 import { test } from 'node:test';
 import assert from 'node:assert/strict';
-import { scoreSkill, TARGET, FLOOR_CAP } from '../../scripts/kb-eval/lib/skill-score.mjs';
+import { scoreSkill, TARGET, FLOOR_CAP, CRITERIA } from '../../scripts/kb-eval/lib/skill-score.mjs';
 
 // --- fixture builder: a fully-passing eval object (all sub-scores = 1) -------
 function perfectEval(overrides = {}) {
@@ -26,13 +26,13 @@ function perfectEval(overrides = {}) {
       N3_refNestingDepth: { pass: true, nested: [] },
       N4_refToc: { largeFiles: 5, withToc: 5, ratio: 1, pass: true },
       N5_forwardSlashPaths: { pass: true, windowsPaths: [] },
+      CT5_sourcedness: { referenceFiles: 5, sourced: 5, ratio: 1, pass: true },
     },
     judgeInputs: { description: 'desc', bodyLines: 120 },
     judge: {
       K1_triggerPrecision: { precision: 1, pass: true },
       K4_noDuplication: { score: 5, pass: true },
       K7_imperativeStyle: { ratio: 1, pass: true },
-      K8_sourceCitation: { ratio: 1, pass: true },
       K9_noTimeSensitive: { pass: true, findings: [] },
     },
   };
@@ -59,6 +59,38 @@ test('scoreSkill — TARGET is 90 and FLOOR_CAP is below it', () => {
   assert.ok(FLOOR_CAP < TARGET);
 });
 
+// CT5 (sourcedness) replaced the LLM-sampled K8. On an unmigrated corpus
+// (referenceFiles: 0) it is dormant — dropped from the weighted mean, so it
+// never tanks the score before Port 1 migration. Once reference files exist it
+// contributes deterministically.
+
+test('scoreSkill — CT5 dormant (no declared reference files) is dropped, score stays 100', () => {
+  const r = scoreSkill(perfectEval({
+    deterministic: { CT5_sourcedness: { referenceFiles: 0, sourced: 0, ratio: 0, pass: true } },
+  }));
+  assert.equal(r.score, 100, 'CT5 available:false => excluded from the mean, no score impact');
+  const ct5 = r.criteria.find((c) => c.key === 'CT5');
+  assert.equal(ct5.available, false);
+});
+
+test('scoreSkill — CT5 contributes deterministically once reference files exist', () => {
+  const r = scoreSkill(perfectEval({
+    deterministic: { CT5_sourcedness: { referenceFiles: 4, sourced: 2, ratio: 0.5, pass: false } },
+  }));
+  assert.ok(r.score < 100, `imperfect sourcedness should cost points, got ${r.score}`);
+  const ct5 = r.criteria.find((c) => c.key === 'CT5');
+  assert.equal(ct5.available, true);
+  assert.equal(ct5.sub, 0.5);
+  assert.ok(r.improvements.some((i) => i.key === 'CT5'), 'CT5 surfaces as an improvement');
+});
+
+test('scoreSkill — CT5 is deterministic (source det), not a judge criterion', () => {
+  const ct5 = CRITERIA.find((c) => c.key === 'CT5');
+  assert.ok(ct5, 'CT5 exists in the rubric');
+  assert.equal(ct5.source, 'det');
+  assert.equal(CRITERIA.find((c) => c.key === 'K8'), undefined, 'K8 no longer in the rubric');
+});
+
 test('scoreSkill — failing K10 (deterministic floor) caps the score below target despite a perfect rest', () => {
   const r = scoreSkill(perfectEval({
     deterministic: { K10_siblingScopeOverlap: { maxCombined: 7.4, worstSibling: 'y', pass: false, threshold: 7.0 } },