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 Kemdirimakujuobi/skills --skill design-tokensgit clone --depth 1 https://github.com/Kemdirimakujuobi/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/kemdirimakujuobi/skills/design-tokens)<a href="https://agentmods.dev/skills/kemdirimakujuobi/skills/design-tokens"><img src="https://agentmods.dev/badge/skills/kemdirimakujuobi/skills/design-tokens/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/kemdirimakujuobi/skills/design-tokens"><img src="https://agentmods.dev/badge/skills/kemdirimakujuobi/skills/design-tokens.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 | $0.00168 | $0.01890 |
| Opus 5.5 | $0.00067 | $0.00756 |
| Sonnet 5.5 | $0.00034 | $0.00378 |
| Haiku 4.5 | $0.00017 | $0.00189 |
Grade A, and why
design-tokens 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 13d 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design tokens
Tokens are the foundation every component is painted with, so a silent error here poisons everything downstream. That is why this pipeline is built zero-trust: not "the designer was careful" or "the agent transcribed it right," but every run re-derives the output and a gate proves it. Trust comes from determinism and verification, never from good intentions.
The one rule that makes that possible: no agent (and no human) is ever in the token value path. Values are authored in the design tool and transformed mechanically. The moment a model "reads the change and writes the JSON," you've traded determinism for a vibe. An agent's only jobs here are to explain a diff and review it, never to produce a value.
Configure for your repo
The skill expects these; the example stack is Token Studio (Figma plugin) + Style Dictionary.
- Authored input: the raw token export the sync tool writes (for example
tokens/raw.tokens.json). This is the only authored file.AGENTS.mdshould name its path. - Transform: a deterministic build script (Style Dictionary config or a
buildscript in the tokens package). Read the script name frompackage.json. - Generated output: the CSS variables (and any manifest) the transform emits. Usually committed, because it's the artifact the app loads.
- CI workflow: rebuilds, validates and explains on every token PR. If the repo has none, the skill still works: you run the rebuild and validation locally and post the explanation yourself, and you flag the missing CI as the first thing to fix.
- Visual check surface: a foundations/tokens showcase in the docs, plus one consuming component.
- Naming rule: names transfer 1:1 from design-tool paths (mechanical kebab-case only). If the repo keeps a remapping table instead, note it as a decision to revisit; it's a table someone owns forever.
The pipeline
Variable edited in the design tool
| sync plugin pushes to a branch (no manual export, clone or paste)
v
PR opened against the base branch
|
v CI: the trust layer
1. rebuild: run the transform from the raw export (deterministic)
2. regenerate-and-commit: CI commits the rebuilt output back to the PR branch,
so the designer never runs Node; the pushed export is the only input
3. validate: every semantic token exists in every mode (light AND dark);
no orphan references; token counts sane; no hand-edits to generated output survive
4. explain: post the token diff (name: old -> new, and how many components it touches)
v
A human reads the explained diff + green gates and merges (never auto-merged)
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.
- 13d ago First seen · 144 lines · 168 tokens per session scan A e0528e37a94b
design-tokens is a skill published in the GitHub repository Kemdirimakujuobi/skills (9 stars, last pushed 13d ago), licensed MIT. It adds 168 tokens to every session and 1,890 once invoked, about $0.0007 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 2026-10-15.
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