ms-ai-architect/scripts/kb-eval/lib/skill-score.mjs
Kjell Tore Guttormsen 75ee9ec062 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.
2026-06-29 15:10:14 +02:00

348 lines
15 KiB
JavaScript

// skill-score.mjs — PURE skill-quality scoring (Spor D).
//
// Aggregates the K1-K10 rubric (eval.mjs) into a single 0-100 quality score per
// skill, using weighted partial-credit with a HARD FLOOR on the load-bearing
// criteria (K1 trigger-precision, K10 sibling-overlap): if either fails, the
// score is capped below the target — a skill that does not trigger correctly or
// overlaps a sibling cannot "pass", regardless of formatting. Grounded in
// Anthropic's skill-authoring best practices (description/triggering is
// "critical for skill selection"). See docs/skill-quality-scoring-plan.md §2.
//
// PURE: consumes the object produced by eval.mjs (evalSkill + attachSiblingOverlap
// + merged judge results). No disk access -> fully testable with fixtures.
// Degrades gracefully when unjudged: judge criteria are excluded from both the
// numerator and the denominator, and the score is flagged `provisional` because
// the K1 floor cannot be enforced without a judge verdict.
export const TARGET = 90; // every skill should sit at or above this
export const FLOOR_CAP = 89; // capped value when a load-bearing criterion fails
const K5_NAMED_RATIO_TARGET = 0.2; // full credit at/above this (eval.mjs K5 threshold)
const clamp01 = (n) => Math.max(0, Math.min(1, n));
/**
* Criterion registry. Each entry maps the raw eval object to a 0-1 sub-score.
* `read(evalObj)` returns { available, sub, pass, detail }; `available:false`
* means the data is absent (e.g. judge criteria on an unjudged skill) and the
* criterion is dropped from the weighted mean entirely.
* weight — proportional to how load-bearing Anthropic treats the criterion
* floor — failing it caps the score at FLOOR_CAP
* source — 'det' (always available) | 'judge' (cached, operator-gated)
* fix — concrete remediation surfaced in the improvement report
*/
export const CRITERIA = [
{
key: 'K1', label: 'trigger-presisjon', weight: 3, floor: true, source: 'judge',
fix: 'Optimaliser description-feltet (kjør trigger-eval: in-domain ≥0.90, out-domain FP ≤0.10).',
read: (e) => {
const j = e.judge?.K1_triggerPrecision;
if (!j) return { available: false };
return { available: true, sub: clamp01(num(j.precision)), pass: !!j.pass, detail: `presisjon ${num(j.precision)}` };
},
},
{
key: 'K10', label: 'søsken-ikke-overlapp', weight: 3, floor: true, source: 'det',
fix: 'Reduser overlapp mot søster-skill (plan-skill-op merge eller sanitize for å skjerpe scope-grensen).',
read: (e) => {
const k = e.deterministic?.K10_siblingScopeOverlap;
if (!k) return { available: false };
const thr = num(k.threshold) || 7.0;
const sub = k.pass ? 1 : clamp01(1 - (num(k.maxCombined) - thr) / thr);
return { available: true, sub, pass: !!k.pass, detail: `maks ${num(k.maxCombined)} mot ${k.worstSibling} (terskel ${thr})` };
},
},
{
key: 'K3', label: 'body ≤500 linjer', weight: 2, floor: false, source: 'det',
fix: 'Trim SKILL.md til ≤500 linjer; flytt detalj til references/ (Anthropic token-budget).',
read: (e) => {
const k = e.deterministic?.K3_bodyLength;
if (!k) return { available: false };
const lines = num(k.bodyLines);
const sub = lines <= 500 ? 1 : clamp01(1 - (lines - 500) / 500);
return { available: true, sub, pass: !!k.pass, detail: `${lines} linjer` };
},
},
{
key: 'K4', label: 'ingen duplisering', weight: 2, floor: false, source: 'judge',
fix: 'Fjern detalj fra SKILL.md som dupliserer ref-filer (info bor ett sted).',
read: (e) => {
const j = e.judge?.K4_noDuplication;
if (!j) return { available: false };
return { available: true, sub: clamp01(num(j.score) / 5), pass: !!j.pass, detail: `score ${num(j.score)}/5` };
},
},
{
key: 'K9', label: 'ingen volatil tid-info', weight: 2, floor: false, source: 'judge',
fix: 'Flytt volatile påstander (GA/preview/versjoner/priser) til ref-filer eller «old patterns».',
read: (e) => {
const j = e.judge?.K9_noTimeSensitive;
if (!j) return { available: false };
return { available: true, sub: j.pass ? 1 : 0, pass: !!j.pass, detail: `${(j.findings || []).length} funn` };
},
},
{
key: 'K2', label: 'description-format', weight: 1, floor: false, source: 'det',
fix: 'Skriv description i 3.-person «… should be used when …» eller med ≥3 siterte trigger-fraser.',
read: (e) => readBinary(e.deterministic?.K2_descriptionFormat),
},
{
key: 'K5', label: 'progressiv disclosure', weight: 1, floor: false, source: 'det',
fix: 'Lenk ref-filer ved navn fra SKILL.md (ikke bare mappe-referanser).',
read: (e) => {
const k = e.deterministic?.K5_progressiveDisclosure;
if (!k) return { available: false };
return { available: true, sub: clamp01(num(k.namedRatio) / K5_NAMED_RATIO_TARGET), pass: !!k.pass, detail: `navngitt-ratio ${num(k.namedRatio)}` };
},
},
{
key: 'K6', label: 'routing-pekere', weight: 1, floor: false, source: 'det',
fix: 'Legg til minst én navngitt startfil SKILL.md peker til.',
read: (e) => readBinary(e.deterministic?.K6_routingTable),
},
{
key: 'K7', label: 'imperativ stil', weight: 1, floor: false, source: 'judge',
fix: 'Skriv instruksjoner i imperativ/infinitiv (verb-først), ikke 2.-person.',
read: (e) => {
const j = e.judge?.K7_imperativeStyle;
if (!j) return { available: false };
return { available: true, sub: clamp01(num(j.ratio)), pass: !!j.pass, detail: `ratio ${num(j.ratio)}` };
},
},
{
// CT5 — sourcedness (deterministic, whole-corpus). REPLACES the LLM-sampled
// K8 (same signal; must not run in parallel — ref-kb-direction-note §45).
// Dormant (available:false) until Port 1 migration declares reference types,
// so it never tanks the score on an unmigrated corpus.
key: 'CT5', label: 'sourcedness refs', weight: 1, floor: false, source: 'det',
fix: 'Gi ref-filene **Source:**-URL (Port 1-kontrakt) — ≥0.80 andel av type:reference-filer.',
read: (e) => {
const k = e.deterministic?.CT5_sourcedness;
if (!k || !k.referenceFiles) return { available: false };
return { available: true, sub: clamp01(num(k.ratio)), pass: !!k.pass, detail: `${num(k.sourced)}/${num(k.referenceFiles)} sourced` };
},
},
{
key: 'refCount', label: 'ref-tall-konsistens', weight: 1, floor: false, source: 'det',
fix: 'Rett opp ref-tall sitert i SKILL.md som ikke matcher disk.',
read: (e) => {
const k = e.deterministic?.refCountConsistency;
if (!k) return { available: false };
return { available: true, sub: k.consistent ? 1 : 0, pass: !!k.consistent, detail: k.consistent ? 'OK' : `${(k.mismatches || []).length} avvik` };
},
},
{
key: 'N1', label: 'name-validitet', weight: 1, floor: false, source: 'det',
fix: 'Rett skill-name: ≤64 tegn, kun a-z0-9-, ingen «claude»/«anthropic».',
read: (e) => readBinary(e.deterministic?.N1_nameValidity),
},
{
key: 'N2', label: 'description ≤1024', weight: 1, floor: false, source: 'det',
fix: 'Hold description ikke-tom og ≤1024 tegn.',
read: (e) => readBinary(e.deterministic?.N2_descriptionLength),
},
{
key: 'N3', label: 'refs én nivå dypt', weight: 1, floor: false, source: 'det',
fix: 'Fjern lenker fra ref-filer til andre ref-filer (unngå nøstede referanser).',
read: (e) => {
const k = e.deterministic?.N3_refNestingDepth;
if (!k) return { available: false };
return { available: true, sub: k.pass ? 1 : 0, pass: !!k.pass, detail: k.pass ? 'OK' : `${(k.nested || []).length} nøstede` };
},
},
{
key: 'N4', label: 'TOC i store ref-filer', weight: 1, floor: false, source: 'det',
fix: 'Legg innholdsfortegnelse i ref-filer >100 linjer (eksplisitt TOC-heading eller anker-cluster).',
read: (e) => {
const k = e.deterministic?.N4_refToc;
if (!k) return { available: false };
return { available: true, sub: clamp01(num(k.ratio)), pass: !!k.pass, detail: `${num(k.withToc)}/${num(k.largeFiles)} store filer med TOC` };
},
},
{
key: 'N5', label: 'forward-slash-stier', weight: 1, floor: false, source: 'det',
fix: 'Erstatt Windows-stier (\\) med forward-slash i SKILL.md.',
read: (e) => {
const k = e.deterministic?.N5_forwardSlashPaths;
if (!k) return { available: false };
return { available: true, sub: k.pass ? 1 : 0, pass: !!k.pass, detail: k.pass ? 'OK' : `${(k.windowsPaths || []).length} Windows-stier` };
},
},
];
function num(v) {
const n = Number(v);
return Number.isFinite(n) ? n : 0;
}
/** Binary deterministic criterion: { pass } -> sub 1/0. */
function readBinary(k) {
if (!k) return { available: false };
return { available: true, sub: k.pass ? 1 : 0, pass: !!k.pass, detail: k.pass ? 'OK' : 'mangler' };
}
/**
* Score one skill's eval object into a 0-100 quality score.
* @param {object|null} evalObj shape from eval.mjs evalSkill()+judge merge
* @param {{target?: number, floorCap?: number}} [opts]
* @returns {object|null} null on a missing/garbage object
*/
export function scoreSkill(evalObj, opts = {}) {
if (!evalObj || typeof evalObj !== 'object' || !evalObj.deterministic) return null;
const target = opts.target ?? TARGET;
const floorCap = opts.floorCap ?? FLOOR_CAP;
const criteria = [];
let weightedSum = 0;
let weightAvail = 0;
let judged = false;
let floorFailed = false;
let provisional = false;
for (const c of CRITERIA) {
const r = c.read(evalObj);
if (!r.available) {
// A floor criterion we cannot evaluate (e.g. K1 without a judge) makes the
// result provisional — the floor can't be enforced.
if (c.floor) provisional = true;
criteria.push({ key: c.key, label: c.label, weight: c.weight, floor: c.floor, source: c.source, available: false });
continue;
}
if (c.source === 'judge') judged = true;
const sub = clamp01(r.sub);
weightedSum += c.weight * sub;
weightAvail += c.weight;
if (c.floor && !r.pass) floorFailed = true;
criteria.push({
key: c.key, label: c.label, weight: c.weight, floor: c.floor, source: c.source,
available: true, sub, pass: !!r.pass, detail: r.detail || '',
pointsLost: c.weight * (1 - sub), fix: c.fix,
});
}
const rawScore = weightAvail > 0 ? Math.round((weightedSum / weightAvail) * 100) : 0;
const score = floorFailed ? Math.min(rawScore, floorCap) : rawScore;
const improvements = criteria
.filter((c) => c.available && c.sub < 1)
.sort((a, b) => b.pointsLost - a.pointsLost)
.map((c) => ({ key: c.key, label: c.label, detail: c.detail, fix: c.fix, pointsLost: c.pointsLost, floor: c.floor }));
return {
name: evalObj.name,
score,
rawScore,
floored: score < rawScore,
judged,
provisional,
meetsTarget: score >= target,
criteria,
improvements,
};
}
/**
* Score every skill in an eval report ({ skills: [...] }) and summarize how many
* fall below the target.
* @param {{skills: object[]}} report
* @param {{target?: number, floorCap?: number}} [opts]
* @returns {{target: number, scored: object[], below: object[]}}
*/
export function scoreReport(report, opts = {}) {
const target = opts.target ?? TARGET;
const scored = (report?.skills || []).map((s) => scoreSkill(s, opts)).filter(Boolean);
const below = scored.filter((s) => !s.meetsTarget);
return { target, scored, below };
}
/**
* Re-score ONE affected skill out of a freshly built corpus report and return a
* lifecycle-gate verdict (Spor D, STEG B). Used by apply-skill-op.mjs after a
* create/merge/sanitize mutation: the whole corpus is needed for K10 sibling
* overlap, but only the affected skill is judged. The deterministic floor (K10)
* is enforced immediately via `blocked`; an unjudged skill is `provisional`
* (the K1 floor cannot be enforced -> the caller nudges to re-run the judge).
* @param {{skills: object[]}} report buildReport() output (fresh disk)
* @param {string} skillName the mutated skill to re-score
* @param {{target?: number, floorCap?: number}} [opts]
* @returns {object} { name, found, score?, meetsTarget?, blocked?, provisional?, judged?, floored?, improvements? }
*/
export function gateSkill(report, skillName, opts = {}) {
const target = opts.target ?? TARGET;
const { scored } = scoreReport(report, { ...opts, target });
const s = scored.find((x) => x.name === skillName);
if (!s) return { name: skillName, found: false };
return {
name: skillName,
found: true,
score: s.score,
meetsTarget: s.meetsTarget,
blocked: !s.meetsTarget,
provisional: s.provisional,
judged: s.judged,
floored: s.floored,
improvements: s.improvements,
};
}
/**
* Project a scoreReport() result into the compact, PURE cache shape persisted as
* data/skill-score-report.json and consumed by the STEG C SessionStart surfacing
* (which must read the cache, never score live). Drops the verbose criteria[] and
* keeps only what the one-liner needs; `below` is a list of names. Deterministic
* given an injected `generatedAt` (no Date.now in the pure layer).
* @param {{target: number, scored: object[]}} result scoreReport() output
* @param {{generatedAt?: string|null}} [opts]
* @returns {{generatedAt: string|null, target: number, scored: object[], below: string[]}}
*/
export function buildScoreCache(result, opts = {}) {
const target = result?.target ?? TARGET;
const scored = (result?.scored || []).map((s) => ({
name: s.name,
score: s.score,
meetsTarget: s.meetsTarget,
provisional: s.provisional,
floored: s.floored,
judged: s.judged,
topFix: s.improvements?.[0]
? { key: s.improvements[0].key, label: s.improvements[0].label, fix: s.improvements[0].fix }
: null,
}));
return {
generatedAt: opts.generatedAt ?? null,
target,
scored,
below: scored.filter((s) => !s.meetsTarget).map((s) => s.name),
};
}
/**
* Render a human-readable quality report (pure). Each skill shows its score and
* status; below-target skills list their sorted improvements (biggest weighted
* loss first). Returns a multi-line string.
* @param {{target: number, scored: object[]}} result scoreReport() output
*/
export function formatScoreReport(result) {
const target = result?.target ?? TARGET;
const scored = result?.scored || [];
const below = scored.filter((s) => !s.meetsTarget);
const lines = [];
lines.push(`Skill-kvalitet — ${scored.length} skills, mål ≥${target} % (${below.length} under mål)`);
lines.push('');
for (const s of scored) {
const tags = [];
if (s.floored) tags.push('floored');
if (s.provisional) tags.push('provisional');
if (!s.judged) tags.push('ujudget');
const status = s.meetsTarget ? 'OK' : 'UNDER MÅL';
const tagStr = tags.length ? ` [${tags.join(', ')}]` : '';
lines.push(`${s.name} ${s.score}/100 ${status}${tagStr}`);
if (!s.meetsTarget) {
for (const imp of s.improvements) {
const floor = imp.floor ? ' ⚑gulv' : '';
lines.push(`${imp.key} ${imp.label}${floor} (${imp.detail}) [-${imp.pointsLost.toFixed(2)}] → ${imp.fix}`);
}
}
lines.push('');
}
return lines.join('\n');
}