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 mrDesign-ww/vault-os --skill design-dnagit clone --depth 1 https://github.com/mrDesign-ww/vault-osWrote 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/mrdesign-ww/vault-os/design-dna)<a href="https://agentmods.dev/skills/mrdesign-ww/vault-os/design-dna"><img src="https://agentmods.dev/badge/skills/mrdesign-ww/vault-os/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/mrdesign-ww/vault-os/design-dna"><img src="https://agentmods.dev/badge/skills/mrdesign-ww/vault-os/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 | $0.00085 | $0.00784 |
| Opus 5 | $0.00043 | $0.00392 |
| Sonnet 5 | $0.00017 | $0.00157 |
| Haiku 4.5 | $0.00009 | $0.00078 |
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.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design DNA
Build a machine-readable design profile without presenting guesses as measured facts. Treat existing project tokens, Figma variables, approved specs, and vault decisions as sources of truth.
Source priority
Use the strongest available evidence in this order:
- Existing approved project tokens, Figma variables, and implementation constants.
- Inspected source code and computed styles.
- Pixel measurements or color sampling from supplied assets.
- Visual inference from screenshots or video.
- Qualitative interpretation.
Never overwrite a stronger source with a weaker inference. When sources conflict, report the conflict and ask which source governs.
Evidence contract
Read references/schema.md before extraction. Preserve its three dimensions: design_system, design_style, and visual_effects.
For every populated leaf, add an entry to a top-level evidence map keyed by JSON path:
{
"evidence": {
"design_system.color.primary.hex": {
"status": "measured",
"confidence": 0.96,
"source": "Figma variable Brand/Primary"
}
}
}
Allowed status values:
authoritative: approved token, Figma variable, spec, or implementation constant.measured: directly sampled or inspected.observed: clearly visible behavior or property without an exact value.inferred: reasoned estimate from incomplete evidence.unknown: not supported by the available references.
Use null for unknown values. Do not fabricate a complete-looking profile. Keep confidence between 0 and 1 and explain low-confidence fields briefly.
Workflows
Structure
When asked for the schema, read references/schema.md, present only the relevant sections unless the user requests the complete schema, and explain the evidence contract.
Analyze references
- Identify reference type and available evidence.
- Inspect the strongest sources first.
- Extract only supported fields.
- Record evidence status, confidence, and source for every populated field.
- Separate shared patterns from reference-specific variants.
- Report unknowns and contradictions instead of silently resolving them.
- Return the JSON plus a concise findings summary.
What ships with it
11 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 · 84 lines · 85 tokens per session scan A 6abf55d1d816
design-dna is a skill published in the GitHub repository mrDesign-ww/vault-os (2 stars, last pushed 3d ago), licensed MIT. It adds 85 tokens to every session and 784 once invoked, about $0.0004 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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