Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add sanky369/vibe-building-skills --skill color-systemgit clone --depth 1 https://github.com/sanky369/vibe-building-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sanky369/vibe-building-skills/color-system)<a href="https://agentmods.dev/skills/sanky369/vibe-building-skills/color-system"><img src="https://agentmods.dev/badge/skills/sanky369/vibe-building-skills/color-system/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/sanky369/vibe-building-skills/color-system"><img src="https://agentmods.dev/badge/skills/sanky369/vibe-building-skills/color-system.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00142 | $0.02063 |
| Opus 5 | $0.00071 | $0.01032 |
| Sonnet 5 | $0.00028 | $0.00413 |
| Haiku 4.5 | $0.00014 | $0.00206 |
Grade A, and why
color-system scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Color System
Produce a contrast-verified color token file for this codebase — ramps, semantic layer, dark mode — with the math shown, not a color-theory lecture. Governing principle: color is a system, not a list: every hue ships as a full lightness ramp, components consume only semantic tokens, and no text/background pair ships without a computed contrast ratio.
When to use / handoffs
- Use for palettes, ramps, dark mode, contrast fixes, status/interactive colors, theming.
- No token infrastructure exists → run
skills/frontend-design/design-foundationfirst, or create the color slice as its start. - "Everything is grey and flat / can't tell what's important" is usually hierarchy, not palette →
skills/frontend-design/visual-hierarchy-refactoring. - Full WCAG audit beyond color →
skills/frontend-design/accessibility-excellence.
Step 1 — Inspect the codebase
- Harvest the palette. Grep for
#[0-9a-fA-F]{3,8}\b,rgba?\(,hsla?\(,oklch\(across source + config. Deduplicate, count frequencies. Cluster near-identical values (ΔL < ~5) — each cluster is one intended color that drifted. - Read existing tokens. Tailwind
theme.colors/@themevariables / CSS custom properties. Determine whether ramps exist or just single hexes. - Identify the de facto brand color — the most-used saturated hue.
- Check dark mode state:
dark:classes,prefers-color-scheme, a.darkblock. - Spot-check contrast on the 3–5 most common text/background pairs found in code — compute the WCAG ratios; failures go straight into your rationale.
Step 2 — Intake
Ask in one batch, only what's missing: brand color to keep, or pick fresh (and the personality if picking: trustworthy/energetic/premium/friendly), and dark mode: now, later, or never. Infer the rest. Don't stall: with a clear de facto brand color, keep it, state the assumption, proceed.
Step 3 — Build the system
- Brand ramp. Expand the brand color into an 11-step lightness ramp (50–950), holding hue roughly constant, adjusting chroma down at the extremes. Base usable for white text lands around step 600 for most hues.
- Neutral ramp — tinted, never true grey. Desaturate the brand hue heavily (roughly 5–15% saturation) and build gray-50…950 from it.
#808080and pure#000are banned; they read as foreign next to any brand color. - Accent/secondary (only if the product needs one). Choose by harmony rule: analogous (±30–60°) for cohesive/calm products; complementary (~180°) for a high-energy CTA accent used sparingly; triadic when the UI must color-code ≥3 categories. Don't add hues without a job.
- Status colors. Success ≈ green, warning ≈ amber, error ≈ red, info ≈ cyan/blue — nudged toward the brand's temperature, each with at least a 100/600/700 mini-ramp (background tint, base, text-on-tint).
- Semantic layer.
bg-primary/secondary/tertiary,text-primary/secondary/tertiary/disabled/inverse,border-primary/focus,interactive-primary/hover/active/disabled— mapped from the ramps. Components never touch ramp values directly. - Dark mode (if in scope). Remap semantic tokens only: backgrounds to gray-900/950 (never
#000), text to gray-50/300, brand shifted one step lighter (light mode's 600 → dark's 500) and slightly desaturated if it vibrates. Re-verify every pair — light-mode ratios don't transfer. - Verify contrast on every shipped pairing. Compute WCAG relative-luminance ratios: ≥4.5:1 normal text, ≥3:1 large text (≥24px, or ≥18.7px bold) and UI components/focus rings. That's the pass/fail gate. Where a pair passes WCAG but looks weak (light text on saturated mid-tone), treat APCA (Lc ≈ 60+ for body) as an advisory tiebreaker and darken a step.
- Color-blind safety. Status colors must not be the only signal — pair with icon/label (red/green alone fails ~8% of male users). Avoid red-vs-green as the sole category distinction; blue/orange is the safest contrast pair.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 115 lines · 142 tokens per session scan A 3ad7067686d9
color-system is a skill published in the GitHub repository sanky369/vibe-building-skills (30 stars, last pushed 2mo ago), licensed MIT. It adds 142 tokens to every session and 2,063 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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