feat(cml): context-window-scaled CLAUDE.md char budget (mirrors CC 40.0k warning)
Add a char-based CML finding that mirrors Claude Code's own startup warning
("Large CLAUDE.md will impact performance (X chars > 40.0k)"). CC 2.1.169 scales
that threshold with the model's context window, so the finding anchors on the
conservative 200k window (we cannot observe the user's window; the anchor fires
earliest) and discloses the relaxed ~200,000-char figure at 1M context. MEDIUM
severity (token cost, not an adherence cliff — consistent with the v5.2.0 reframe).
Keyed on chars, not lines, so it is complementary to the existing 200/500-line
checks (which stay untouched): a file can be long by lines yet under budget (short
lines, e.g. large-cascade at 37k chars / 1024 lines), or short by lines yet over it.
Extract the shared 200k/1M context-window constants to scanners/lib/context-window.mjs
(single source of truth; skill-listing-budget.mjs now imports + re-exports them).
40.0k figure and context-window scaling verified against the CC changelog (2.1.169,
2026-06-08) and the live startup-warning text. +6 tests, new fixture large-claude-chars
(48,531 chars / 100 lines). Suite 918/918, self-audit PASS configGrade A 97.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ter3E2JSi1Khgmuf2kady8
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7 changed files with 253 additions and 8 deletions
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@ -9,11 +9,21 @@ import { finding, scannerResult, resetCounter } from './lib/output.mjs';
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import { SEVERITY } from './lib/severity.mjs';
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import { parseFrontmatter, extractSections, findImports } from './lib/yaml-parser.mjs';
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import { lineCount, truncate } from './lib/string-utils.mjs';
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import { LARGE_CONTEXT_WINDOW, LARGE_CONTEXT_SCALE, withCommas } from './lib/context-window.mjs';
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const SCANNER = 'CML';
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const MAX_RECOMMENDED_LINES = 200;
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const MAX_ABSOLUTE_LINES = 500;
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// Claude Code's own startup warning ("Large CLAUDE.md will impact performance
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// (X chars > 40.0k)") fires once a CLAUDE.md passes ~40.0k chars on a
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// 200k-context model. CC 2.1.169 made that threshold scale with the model's
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// context window. We mirror it in the same unit CC uses (chars, not lines):
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// anchor on the conservative 200k window (we cannot observe the user's window,
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// and the anchor fires earliest) and disclose the relaxed 1M figure.
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const CLAUDE_MD_CHAR_WARN_ANCHOR = 40_000; // chars @ 200k context (CC startup warning)
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const CLAUDE_MD_CHAR_WARN_LARGE = CLAUDE_MD_CHAR_WARN_ANCHOR * LARGE_CONTEXT_SCALE; // 200,000 @ 1M
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/** Recommended sections for a project CLAUDE.md */
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const RECOMMENDED_SECTIONS = [
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{ pattern: /project|overview|description|what/i, label: 'Project overview' },
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@ -87,6 +97,26 @@ export async function scan(targetPath, discovery) {
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}));
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}
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// --- Char budget (mirrors Claude Code's own startup warning) ---
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// Keyed on chars, not lines: CC's "Large CLAUDE.md will impact performance"
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// warning is char-based (~40.0k @ 200k context) and CC 2.1.169 scales that
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// threshold with the context window. A file can be long by lines yet under
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// this budget (short lines), or short by lines yet over it (long lines), so
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// this is complementary to the line-count checks above.
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const chars = content.length;
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if (chars > CLAUDE_MD_CHAR_WARN_ANCHOR) {
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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: 'CLAUDE.md exceeds Claude Code\'s performance-warning threshold',
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description: `${file.relPath} is ${withCommas(chars)} chars. Claude Code shows a startup warning ("Large CLAUDE.md will impact performance ... chars > 40.0k") once a CLAUDE.md passes ~40.0k chars on a 200k-context model — it loads in full on every turn. CC 2.1.169 scales that threshold with the context window, so on a ${withCommas(LARGE_CONTEXT_WINDOW)}-token model it relaxes to ~${withCommas(CLAUDE_MD_CHAR_WARN_LARGE)} chars and you are likely within it.`,
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file: file.absPath,
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evidence: `${withCommas(chars)} chars > 40.0k (200k-context anchor; ~${withCommas(CLAUDE_MD_CHAR_WARN_LARGE)} at ${withCommas(LARGE_CONTEXT_WINDOW)} context). This is an estimate, not measured telemetry.`,
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recommendation: 'Split detail into @imports and .claude/rules/ files so only the relevant rules load, and keep the top of CLAUDE.md byte-stable for cache hits.',
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autoFixable: false,
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}));
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}
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// --- Empty file ---
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if (lines < 3) {
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findings.push(finding({
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