Kjell Tore Guttormsen
c1a09062d4
Byggekloss for både SessionStart-surfacing og lifecycle-gate (D3). - eval.mjs: ekstraher buildReport() (eksportert, testbar) ut av main() — samler hele korpus-rapporten (deterministisk + K10 + merget judge-cache). - lib/skill-score.mjs: formatScoreReport() (ren) — sortert forbedringsrapport med score, status, floored/provisional/ujudget-tags og ⚑gulv-markering. - score-skill.mjs (NY CLI): buildReport → scoreReport → render/json/gate. --skill scorer hele korpuset (K10 trenger alle søsken) men rapporterer/gater kun den valgte → inkrementell enkelt-skill-scoring for D3 lifecycle-gate. - docs/development.md: ny «Skill-kvalitetsscore (Spor D)»-seksjon. Live baseline: advisor 91, governance/security 96 (OK); engineering + infrastructure 89 (floored av K10-gulv) UNDER mål. Gate exit=1. Tester: kb-eval 134→142 (+8). validate 239, kb-update 316 uendret grønt. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
72 lines
3 KiB
JavaScript
72 lines
3 KiB
JavaScript
#!/usr/bin/env node
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// score-skill.mjs — Skill-quality score CLI (Spor D, step 2).
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//
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// Runs the eval pipeline (buildReport: deterministic K2/K3/K5/K6/refCount/N1-N5
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// + cross-skill K10 + merged operator-gated judge cache), scores every skill via
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// the PURE lib (scoreSkill/scoreReport), and reports a 0-100 quality score with
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// a sorted improvement list. The corpus invariant is: every skill stays >=90 %.
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//
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// Usage:
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// node scripts/kb-eval/score-skill.mjs # human summary
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// node scripts/kb-eval/score-skill.mjs --json # machine output (scoreReport)
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// node scripts/kb-eval/score-skill.mjs --gate 90 # non-zero exit if any skill < 90
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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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//
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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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//
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// Zero dependencies. Pure scoring lives in lib/skill-score.mjs.
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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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function argValue(args, flag) {
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const i = args.indexOf(flag);
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return i !== -1 && i + 1 < args.length ? args[i + 1] : null;
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}
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function main() {
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const args = process.argv.slice(2);
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const jsonOut = args.includes('--json');
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const gateRaw = argValue(args, '--gate');
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const gate = gateRaw !== null ? Number(gateRaw) : null;
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const skillFilter = argValue(args, '--skill');
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const target = Number.isFinite(gate) ? gate : TARGET;
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const full = scoreReport(buildReport(), { target });
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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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if (skillFilter) {
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scored = scored.filter((s) => s.name === skillFilter);
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if (scored.length === 0) {
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process.stderr.write(`score-skill: ukjent skill '${skillFilter}'. Tilgjengelig: ${full.scored.map((s) => s.name).join(', ')}\n`);
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process.exitCode = 2;
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return;
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}
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}
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const below = scored.filter((s) => !s.meetsTarget);
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const result = { target, scored, below };
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if (jsonOut) {
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process.stdout.write(JSON.stringify(result) + '\n');
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} else {
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process.stdout.write(formatScoreReport(result) + '\n');
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if (gate !== null) {
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process.stdout.write(below.length === 0
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? `✓ Gate ≥${target}: alle ${scored.length} skills består.\n`
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: `✗ Gate ≥${target}: ${below.length} skill(s) under mål — ${below.map((s) => s.name).join(', ')}.\n`);
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}
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}
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if (gate !== null && below.length > 0) process.exitCode = 1;
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}
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if (process.argv[1] && fileURLToPath(import.meta.url) === process.argv[1]) {
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main();
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}
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