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 agentmods add skills/lenxism/ives/colornpx skills add lenxism/ives --skill colorgit clone --depth 1 https://github.com/lenxism/ivesWrote 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/lenxism/ives/color)<a href="https://agentmods.dev/skills/lenxism/ives/color"><img src="https://agentmods.dev/badge/skills/lenxism/ives/color.svg" alt="Measured on agentmods" 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 | $0.00107 | $0.01097 |
| Opus 5 | $0.00053 | $0.00549 |
| Sonnet 5 | $0.00021 | $0.00219 |
| Haiku 4.5 | $0.00011 | $0.00110 |
Grade A, and why
color 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 4d 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Color
Color is powerful but dangerous. A few wrong grays can undermine an entire interface. Master the principles, and color becomes your strongest tool.
Read references/color-knowledge.md for detailed gray analysis and dark UI techniques.
Color Selection Methods
Start with one of these approaches:
- HSB method — Pick a hue, then adjust saturation and brightness for variants. Most intuitive for creating cohesive palettes.
- Brand-first — Start with the brand's primary color, derive everything else from it.
- Reference-first — Find an interface you admire, extract its palette, then adapt.
Contrast and Accessibility
Non-negotiable minimums:
- Body text (16px regular): 4.5:1 contrast ratio (WCAG AA)
- Large text (18px regular, 14px bold): 3:1 contrast ratio (WCAG AA Large)
- Interactive elements: Must be distinguishable without color alone (add icons, weight, underlines)
Placeholder text is a gray area: AA-large (3:1) is often the right balance — dark enough to read, light enough to not look pre-filled.
Structural vs Interactive Color
Structural colors define the interface skeleton: backgrounds, containers, borders, dividers. Keep these neutral.
Interactive colors signal action: buttons, links, selected states, focus rings. Keep these vibrant and consistent.
Never let structural colors compete with interactive colors. If your background is colorful, your buttons lose their signal.
The Gray System
The most critical color skill. Most interfaces need 3-5 carefully chosen grays:
- Dark text — Primary content (e.g., #333 or a dark with slight hue)
- Medium gray — Secondary text, icons, metadata
- Light gray — Dividers, borders
- Lighter gray — Backgrounds, hover states
- Near-white — Subtle background differentiation
Critical rule: keep grays in the same hue family
Twitter's grays all sit around hue 208-210 (cool blue). Pinterest uses warm, desaturated grays that complement their red brand. Gmail uses a scattered mix of warm and cool grays — and it shows.
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.
- 4d ago First seen · 98 lines · 107 tokens per session scan A 71e0a53672ac
color is a skill published in the GitHub repository lenxism/ives (5 stars, last pushed 6mo ago), licensed MIT. It adds 107 tokens to every session and 1,097 once invoked, about $0.0005 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 2026-08-31.
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UI 样式修改协作流程（已有界面的视觉层微调）。触发硬条件：页面已经在代码里跑着，改的只是它的视觉表现——布局、间距、颜色、字号、圆角、组件搭配。通过"读代码 + ASCII 画出现状让用户确认 → 给 2-3 个 ASCII 方案 → 用户选定 → 最小改动 → 微调"的流程，减少沟通偏差、避免浪费 token。产出：只动样式的代码 diff。硬边界：不动业务逻辑、不动数据流、不改交互行为、不顺手重构。不适用于：界面还不存在、要从零探索长什么样（用 design-exploration）、改的是功能或交互逻辑而不只是视觉（用 req-change-workflow）、照着设计图/截图复刻整页（用…