New CA-SKL-003 (low): a SKILL.md body over ~5,000 tokens (~500 lines) should split reference content into supporting files / use context: fork. - measureActiveSkillListing() now returns body metrics (chars/lines/tokens); the body was already read in full, only the frontmatter was parsed before. - Honest framing: BODY_CALIBRATION_NOTE marks this as ON-DEMAND cost (loads only when the skill is invoked, NOT every turn like the always-loaded listing) and an estimate — hence low severity. - 5 new tests; full suite 1262 green; snapshots byte-stable (default branch untouched; new finding fires only on bodies >5k tok, none in fixtures). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
155 lines
7.5 KiB
JavaScript
155 lines
7.5 KiB
JavaScript
/**
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* SKL Scanner — Skill-listing token budget
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*
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* Claude Code shows the model a listing of every active skill's `description`
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* so it can decide which skill to invoke. That listing is budgeted: each
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* description is capped, and anything past the cap is silently truncated
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* (Claude Code raised the per-description cap 250 → 1,536 chars in v2.1.105,
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* changelog L1502, and added a startup/`/doctor` notice when truncation
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* happens). A description past the cap loses its tail from what the model
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* actually sees — the very trigger phrases meant to route invocation.
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*
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* Detection:
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* CA-SKL-001 active skill description > 1,536 chars → truncated (medium)
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* CA-SKL-002 sum of active descriptions exceeds the listing budget (low)
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*
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* The aggregate listing budget (changelog L2860, CC 2.1.32) allots the skill
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* listing the model reads ~2% of the context window. We do NOT know the user's
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* context window, so CA-SKL-002 anchors on a conservative 200k window and says
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* so loudly: it leads with the measured sum (a fact) and carries a calibration
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* note explaining the budget scales 5x on a 1M-context model. Severity is low
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* (an estimate) versus medium for the verified per-description cap.
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*
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* The cap, the budget, and the enumerate-and-measure step all live in
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* `lib/skill-listing-budget.mjs` — the single source of truth shared with the
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* GAP scanner, which prescribes `disableBundledSkills` when this budget is
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* exceeded. SKL only constructs the findings.
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*
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* Two-lens note vs TOK pattern F: TOK pattern F flags *project-local* skills
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* with descriptions > 500 chars as a structural per-turn "bloat" heuristic.
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* SKL is a different lens — it scans ALL active skills (user + plugin) against
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* the *verified* 1,536-char hard truncation cap, not a bloat heuristic. The
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* two are intentionally distinct, not duplicates.
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*
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* Zero external dependencies.
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*/
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import { finding, scannerResult } from './lib/output.mjs';
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import { SEVERITY } from './lib/severity.mjs';
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import {
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DESCRIPTION_CAP,
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AGGREGATE_BUDGET_TOKENS,
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BUDGET_CALIBRATION_NOTE,
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BODY_TOKEN_THRESHOLD,
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BODY_CALIBRATION_NOTE,
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measureActiveSkillListing,
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} from './lib/skill-listing-budget.mjs';
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const SCANNER = 'SKL';
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/**
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* Main scanner entry point.
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*
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* @param {string} _targetPath unused (skill listing is HOME-scoped)
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* @param {object} _discovery unused (ignores project discovery)
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*/
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export async function scan(_targetPath, _discovery) {
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const start = Date.now();
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const findings = [];
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const { skills, aggregate } = await measureActiveSkillListing();
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for (const skill of skills) {
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if (skill.descLength <= DESCRIPTION_CAP) continue;
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const sourceLabel = skill.source === 'plugin'
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? `plugin:${skill.pluginName}`
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: 'user';
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findings.push(finding({
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scanner: SCANNER,
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severity: SEVERITY.medium,
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title: 'Skill description exceeds the listing cap (Claude Code truncates it)',
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description:
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`Skill "${skill.name}" (${sourceLabel}) has a description of ${skill.descLength} ` +
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`characters (>${DESCRIPTION_CAP}). Claude Code caps each skill description in ` +
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'the listing the model reads to choose a skill, so everything past ' +
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`${DESCRIPTION_CAP} characters is silently dropped — including any trigger ` +
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'phrases at the tail meant to route invocation.',
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file: skill.path,
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evidence:
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`description_chars=${skill.descLength}; cap=${DESCRIPTION_CAP}; ` +
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`skill="${skill.name}"; source=${sourceLabel}`,
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recommendation:
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`Trim the description below ${DESCRIPTION_CAP} characters, leading with the ` +
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'trigger phrases. To reclaim listing budget more broadly: set ' +
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'`disableBundledSkills: true` to drop bundled skills you do not use from the ' +
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'listing entirely, or use `skillOverrides` (`name-only` collapses a ' +
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'description, `off` removes a skill) on the heaviest entries.',
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category: 'token-efficiency',
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}));
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}
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// CA-SKL-002 (aggregate). Emitted after the per-skill findings so the common
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// "one oversized skill + aggregate" case reads 001=cap, 002=aggregate.
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if (aggregate.overBudget) {
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findings.push(finding({
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scanner: SCANNER,
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severity: SEVERITY.low,
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title: 'Aggregate skill descriptions may exceed the listing budget',
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description:
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`The ${aggregate.scanned} active skills carry about ${aggregate.aggregateTokens} tokens of description text ` +
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`(each description counted up to the ${DESCRIPTION_CAP}-char listing cap), above the ` +
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`${AGGREGATE_BUDGET_TOKENS}-token budget Claude Code allots the skill listing on a 200k ` +
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'context window (about 2% of context, CC 2.1.32). When the listing overflows that budget ' +
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'Claude Code drops descriptions, so the model may stop seeing some skills entirely. This ' +
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'is an estimate — the budget scales with your actual context window (see evidence).',
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evidence:
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`active_skills_scanned=${aggregate.scanned}; description_chars=${aggregate.aggregateChars} (each capped at ` +
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`${DESCRIPTION_CAP}); description_tokens~${aggregate.aggregateTokens}; budget@200k=` +
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`${AGGREGATE_BUDGET_TOKENS} tok (skill listing ~2% of context, CC 2.1.32); over_by~` +
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`${aggregate.overBy} tok - ${BUDGET_CALIBRATION_NOTE}`,
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recommendation:
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'Reclaim skill-listing budget: set `disableBundledSkills: true` to drop bundled skills you ' +
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'do not use from the listing, use `skillOverrides` (`name-only` collapses a description, ' +
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'`off` removes a skill) on the heaviest entries, and trim long descriptions toward their ' +
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'trigger phrases.',
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category: 'token-efficiency',
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}));
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}
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// CA-SKL-003 (oversized body). Emitted last so the common single-issue cases
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// read cleanly. Unlike the listing budget, this is an ON-DEMAND cost — the body
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// loads only when the skill is invoked, not every turn — hence low severity and
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// an explicit on-demand calibration note.
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for (const skill of skills) {
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if (skill.bodyTokens <= BODY_TOKEN_THRESHOLD) continue;
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const sourceLabel = skill.source === 'plugin'
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? `plugin:${skill.pluginName}`
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: 'user';
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findings.push(finding({
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scanner: SCANNER,
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severity: SEVERITY.low,
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title: 'Skill body is large (loads on demand when the skill runs)',
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description:
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`Skill "${skill.name}" (${sourceLabel}) has a body of about ${skill.bodyTokens} tokens ` +
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`(${skill.bodyLines} lines), over the ~${BODY_TOKEN_THRESHOLD}-token guidance for a skill body. ` +
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'The body is not in the always-loaded listing — it loads only when the skill is invoked — but ' +
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'once loaded a large body consumes context for the rest of that session. Claude Code skill ' +
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'guidance is to keep the body lean and move heavy reference material into supporting files.',
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file: skill.path,
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evidence:
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`body_tokens~${skill.bodyTokens}; body_lines=${skill.bodyLines}; body_chars=${skill.bodyChars}; ` +
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`threshold=${BODY_TOKEN_THRESHOLD} tok; skill="${skill.name}"; source=${sourceLabel} - ${BODY_CALIBRATION_NOTE}`,
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recommendation:
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'Move reference content into supporting files the skill loads only when needed, and consider ' +
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'`context: fork` in the skill frontmatter for heavy skills so the body runs in a forked context ' +
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'instead of consuming the main thread.',
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category: 'token-efficiency',
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}));
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}
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return scannerResult(SCANNER, 'ok', findings, aggregate.scanned, Date.now() - start);
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}
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