Borrowing it
Nothing to install: this file belongs to Kenyi001/oraculo-radiohead. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Kenyi001/oraculo-radiohead/master/.cursor/skills/design-dna/SKILL.mdgit clone --depth 1 https://github.com/Kenyi001/oraculo-radioheadWrote 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/kenyi001/oraculo-radiohead/design-dna)<a href="https://agentmods.dev/skills/kenyi001/oraculo-radiohead/design-dna"><img src="https://agentmods.dev/badge/skills/kenyi001/oraculo-radiohead/design-dna/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/kenyi001/oraculo-radiohead/design-dna"><img src="https://agentmods.dev/badge/skills/kenyi001/oraculo-radiohead/design-dna.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 | $0.00192 | $0.01395 |
| Opus 5 | $0.00096 | $0.00698 |
| Sonnet 5 | $0.00038 | $0.00279 |
| Haiku 4.5 | $0.00019 | $0.00139 |
Grade A, and why
design-dna 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 10d 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.
This is a copy
91% identical to design-dna — 14 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design DNA
A 3-phase workflow for extracting, structuring, and applying design identity across three dimensions:
- Design System — measurable tokens (color, typography, spacing, layout, shape, elevation, motion, components)
- Design Style — qualitative perception (mood, visual language, composition, imagery, interaction feel, brand voice)
- Visual Effects — special rendering (Canvas, WebGL, 3D, particles, shaders, scroll effects, cursor effects, SVG animations, glassmorphism, etc.)
Phases
Phase 1: Structure — Output the Schema
When the user asks for the structural dimensions or schema:
- Read references/schema.md
- Present the full schema with field descriptions
- Explain the three dimensions and their roles:
- design_system: What you can measure — exact hex values, pixel sizes, rem scales
- design_style: What you can feel — mood, personality, composition strategy
- visual_effects: What you can see but can't express in CSS alone — WebGL scenes, particle systems, shader distortions, scroll-driven animations
- Ask if the user wants to customize or extend any dimensions
Phase 2: Analyze — Extract DNA from References
When the user provides images, screenshots, or links representing a target design style:
- Read references/schema.md for the full field list
- For each reference provided:
- If image/screenshot: analyze visual properties directly
- If URL: fetch and analyze the page's visual design
- For every field in the schema, extract or infer a value from the references
- When multiple references conflict, note the dominant pattern and mention variants
- Output a complete Design DNA JSON — every field populated, no empty strings
- After output, ask: "Want to adjust any values before using this for generation?"
Analysis approach per dimension:
Dimension 1: design_system
- color: Extract dominant palette via visual sampling. Primary by area dominance, secondary by supporting role, accent by CTA usage. Map neutral scale from lightest background to darkest text.
- typography: Identify font families by visual characteristics (geometric, humanist, serif class). Estimate scale ratios from heading/body size relationships.
- spacing: Assess density by element proximity. Measure rhythm by section gap consistency.
- layout: Identify grid by content alignment patterns. Note max-width, column count, asymmetry.
- shape: Measure border-radius by comparing to element height. Note border and divider presence.
- elevation: Classify shadow softness, spread, and layering approach.
- motion: If observable (video/interactive), note easing curves and duration feel.
What ships with it
3 files 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.
- 10d ago First seen · 105 lines · 192 tokens per session scan A c04472d2cced
design-dna is a skill published in the GitHub repository Kenyi001/oraculo-radiohead (0 stars, last pushed 13d ago), licensed MIT. It adds 192 tokens to every session and 1,395 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to design-dna, differing in 14 lines, and is treated as a copy.
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