design-tokens — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited design-tokens (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Produce and maintain DTCG ($type/$value) tokens following the project's 3-tier system.
CLAUDE.md → "Token System" + "Color/Typography/Spacing Guidelines" for the rules (4px base, Major Third scale, OKLCH palette generation, dark-mode-at-semantic-layer).tokens/ to match structure: colors.json, typography.json, spacing.json, shadows.json, borders.json, breakpoints.json, motion.json, gradients.json, opacity.json, blur.json, sizing.json, states.json, theming.json.a11y-audit skill / scripts/contrast.py.theming.json.python3 scripts/validate_tokens.py (JSON validity + alias resolution).DTCG JSON. Preserve $description on every token. Reference, never hardcode.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.