feat(ms-ai-architect): Spor D Steg B — skill-quality lifecycle-gate + score-cache (TDD)
B1: gateSkill(report, name) — pure post-mutation verdict (blocked/provisional/ improvements), wired into apply-skill-op.mjs to re-score the affected skill from fresh disk after create/merge/sanitize-apply. K10 floor enforced immediately; unjudged → provisional + nudge to re-run the judge pass. retire → skipped. B2: buildScoreCache(result) — compact, deterministic cache shape + score-skill.mjs --write [path] → data/skill-score-report.json (always whole-corpus). Gitignored (derived/regenerable; avoids churn in the public repo). Consumed by Steg C surfacing. 8 new tests (tests/kb-eval/test-skill-score-gate.test.mjs). kb-eval 150 pass, validate 239 pass. Live score unchanged: advisor 91, eng/gov/infra/sec 96, 0 < 90. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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5 changed files with 294 additions and 3 deletions
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@ -13,16 +13,25 @@
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// node scripts/kb-eval/score-skill.mjs --skill <name> # scope output to one skill
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// # (still scores the full corpus
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// # so K10 sibling-overlap is correct)
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// node scripts/kb-eval/score-skill.mjs --write [path] # persist the whole-corpus cache
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// # (default: data/skill-score-report.json;
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// # consumed by the STEG C surfacing)
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//
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// K10 requires every sibling description, so even single-skill (incremental)
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// scoring evaluates the whole corpus and then filters the reported set — this is
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// the building block for the lifecycle-gate in apply-skill-op.mjs.
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// the building block for the lifecycle-gate in apply-skill-op.mjs. The --write
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// cache is ALWAYS whole-corpus (surfacing needs every skill), independent of --skill.
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//
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// Zero dependencies. Pure scoring lives in lib/skill-score.mjs.
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import { writeFileSync } from 'node:fs';
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import { dirname, join } from 'node:path';
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import { fileURLToPath } from 'node:url';
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import { buildReport } from './eval.mjs';
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import { scoreReport, formatScoreReport, TARGET } from './lib/skill-score.mjs';
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import { scoreReport, formatScoreReport, buildScoreCache, TARGET } from './lib/skill-score.mjs';
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const __dirname = dirname(fileURLToPath(import.meta.url));
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const DEFAULT_CACHE = join(__dirname, 'data', 'skill-score-report.json');
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function argValue(args, flag) {
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const i = args.indexOf(flag);
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@ -36,9 +45,24 @@ function main() {
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const gate = gateRaw !== null ? Number(gateRaw) : null;
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const skillFilter = argValue(args, '--skill');
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// --write [path]: bare flag uses the default cache path; an explicit non-flag
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// argument overrides it (the tests write to a temp path to avoid clobbering).
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const writeIdx = args.indexOf('--write');
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const doWrite = writeIdx !== -1;
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const writePath = doWrite && args[writeIdx + 1] && !args[writeIdx + 1].startsWith('--')
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? args[writeIdx + 1]
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: DEFAULT_CACHE;
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const target = Number.isFinite(gate) ? gate : TARGET;
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const full = scoreReport(buildReport(), { target });
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// The cache is whole-corpus regardless of --skill (surfacing needs every skill).
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if (doWrite) {
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const cache = buildScoreCache(full, { generatedAt: new Date().toISOString().slice(0, 10) });
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writeFileSync(writePath, JSON.stringify(cache, null, 2) + '\n');
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process.stdout.write(`✓ Skrev skill-score-cache → ${writePath} (${cache.scored.length} skills, ${cache.below.length} under mål).\n`);
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}
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// Scope the reported/gated set to one skill if requested (scoring already ran
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// over the whole corpus, so K10 is computed correctly).
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let scored = full.scored;
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