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 Dragoon0x/dragoon-skills --skill colorgit clone --depth 1 https://github.com/Dragoon0x/dragoon-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/dragoon0x/dragoon-skills/color)<a href="https://agentmods.dev/skills/dragoon0x/dragoon-skills/color"><img src="https://agentmods.dev/badge/skills/dragoon0x/dragoon-skills/color/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/dragoon0x/dragoon-skills/color"><img src="https://agentmods.dev/badge/skills/dragoon0x/dragoon-skills/color.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 | $0.00105 | $0.00302 |
| Opus 5.5 | $0.00042 | $0.00121 |
| Sonnet 5.5 | $0.00021 | $0.00060 |
| Haiku 4.5 | $0.00011 | $0.00030 |
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 1mo 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.
What it actually says
/color
Generates a color token file from the top 8 colors in your palette, using role hints from /scan.
When to use
- The user wants to formalize their color tokens
- The user asks to "extract a palette", "scaffold colors", "create color tokens"
- Setting up a design system after a /scan reveals the palette
Output
One file per run. Format auto-selected from the stack:
css→--color-foreground,--color-background, etc.tailwind→colors: { foreground: '#...', accent: '#...' }js→export const colors = { ... }
Run it
dragoon color
dragoon color --apply
dragoon color --format css --apply
dragoon color --dir src/tokens --apply
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.
- 1mo ago First seen · 32 lines · 105 tokens per session scan A 3d00a63b19d0
color is a skill published in the GitHub repository Dragoon0x/dragoon-skills (4 stars, last pushed 6mo ago), licensed MIT. It adds 105 tokens to every session and 302 once invoked, about $0.0004 per session on Opus 5.5. 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.
Other skills, from other repositories
role-ui-ux-designer
Use when orchestrating UI/UX design systems, anti-AI-slop frontend styling, tactile micro-interactions, responsive design tokens, accessibility standards, and high-fidelity interface engineering.
design-engineering
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design-md
Pick a design language from a categorized offline catalog of 153 entries (84 brands, 68 styles, 1 business scene), write it as DESIGN.md in the project root, then implement or restyle production UI from that file and verify it in a running page. Use when the user asks to list or compare design styles, build a page in…
7onic-setup
Detect, configure, and verify a project for the 7onic Design System — framework/Tailwind detection, token CSS wiring, and an idempotent health check. Run after installing @7onic-ui packages, after npx 7onic init, or whenever styles look wrong.
a11y-toolkit
Use for ALL accessibility work — WCAG 2.2 audits of URLs or HTML, real rendered contrast checks (including text over images, pixel-level), color-pair contrast and nearest passing color, European Accessibility Act / RD 1112/2018 accessibility statements, pre-deploy regression detection (accessible names, tab order)…
7onic-design
Build UI with the 7onic Design System the right way — guided workflow that drives the 7onic MCP tools (component discovery, token resolution, layout recipes, validatecode loop) from a plain-language request like "SaaS dashboard" or "pricing page". Queries work in English, Japanese, and Korean.