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/taste-skills --skill cross-domain-seeinggit clone --depth 1 https://github.com/Dragoon0x/taste-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/taste-skills/cross-domain-seeing)<a href="https://agentmods.dev/skills/dragoon0x/taste-skills/cross-domain-seeing"><img src="https://agentmods.dev/badge/skills/dragoon0x/taste-skills/cross-domain-seeing/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/taste-skills/cross-domain-seeing"><img src="https://agentmods.dev/badge/skills/dragoon0x/taste-skills/cross-domain-seeing.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 | $0.00044 | $0.00333 |
| Opus 5.5 | $0.00018 | $0.00133 |
| Sonnet 5.5 | $0.00009 | $0.00067 |
| Haiku 4.5 | $0.00004 | $0.00033 |
Grade A, and why
cross-domain-seeing 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 2mo 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
Cross-Domain Seeing
Learn design principles from everything that isn't a screen.
How to use
/cross-domain-seeingApply cross-domain observation principles to this conversation./cross-domain-seeing <domain>Extract design principles from a specific non-digital domain.
Constraints
Transferable Principles
- MUST identify the underlying principle, not the surface aesthetic
- MUST translate observations into screen-applicable language
- "The museum uses a single material palette with one contrast accent" becomes "restrained palette with one accent color"
- "The restaurant spaces tables far apart" becomes "generous whitespace signals premium positioning"
- NEVER copy an aesthetic literally. Extract the principle and reapply it.
Domains to Draw From
- Architecture: spatial hierarchy, material relationships, light direction, density vs. openness
- Fashion: proportion, rhythm, texture contrast, restraint, the role of fit
- Film: pacing, focal point, color grading, tension, the cut as a design decision
- Industrial design: form following function, material honesty, ergonomics as interface
- Music: rhythm, dynamics, silence as design element, tension and resolution
Anti-Patterns
- Saying "inspired by Japanese minimalism" without naming the specific principle
- Collecting cross-domain references without connecting them to design problems
- Using architectural terms as jargon rather than genuine analytical tools
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.
- 2mo ago First seen · 35 lines · 44 tokens per session scan A 76028f34041e
cross-domain-seeing is a skill published in the GitHub repository Dragoon0x/taste-skills (7 stars, last pushed 8mo ago), licensed MIT. It adds 44 tokens to every session and 333 once invoked, about $0.0002 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.
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