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 lahkiri/xeo-forge --skill one-design-languagegit clone --depth 1 https://github.com/lahkiri/xeo-forgeWrote 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/lahkiri/xeo-forge/one-design-language)<a href="https://agentmods.dev/skills/lahkiri/xeo-forge/one-design-language"><img src="https://agentmods.dev/badge/skills/lahkiri/xeo-forge/one-design-language/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/lahkiri/xeo-forge/one-design-language"><img src="https://agentmods.dev/badge/skills/lahkiri/xeo-forge/one-design-language.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 | $0.00056 | $0.00246 |
| Opus 5 | $0.00028 | $0.00123 |
| Sonnet 5 | $0.00011 | $0.00049 |
| Haiku 4.5 | $0.00006 | $0.00025 |
Grade A, and why
one-design-language 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 9d 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
Every Xeo Forge interface change reuses the established token vocabulary: spacing steps, radii, the ink/content/line/signal color roles, and the type scale defined in app/globals.css. When a component appears to need a new color, radius, or spacing value, the agent treats that as a design-system gap to resolve first — either an existing token already covers the need (usually) or the new token is added once, centrally, with a name that describes its role rather than its appearance.
Screen-local CSS classes that duplicate token effects (a bespoke shadow here, a one-off radius there) are treated as defects, not shortcuts. The same discipline applies to icons: components/icons.tsx is the only source of glyphs, and unicode symbols standing in for icons are removed on sight. The test the agent applies: if two screens implement the same visual idea differently, one of them is wrong.
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.
- 9d ago First seen · 9 lines · 56 tokens per session scan A 8826c6f03dfe
one-design-language is a skill published in the GitHub repository lahkiri/xeo-forge (11 stars, last pushed 6d ago), licensed MIT. It adds 56 tokens to every session and 246 once invoked, about $0.0003 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 2026-08-30.
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