Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/realmpastai-web/claude-design-suitenpx agentmods add skills/realmpastai-web/claude-design-suite/generate-tokensWrote 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/realmpastai-web/claude-design-suite/generate-tokens)<a href="https://agentmods.dev/skills/realmpastai-web/claude-design-suite/generate-tokens"><img src="https://agentmods.dev/badge/skills/realmpastai-web/claude-design-suite/generate-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/realmpastai-web/claude-design-suite/generate-tokens"><img src="https://agentmods.dev/badge/skills/realmpastai-web/claude-design-suite/generate-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 | $0.00074 | $0.00532 |
| Opus 5 | $0.00037 | $0.00266 |
| Sonnet 5 | $0.00015 | $0.00106 |
| Haiku 4.5 | $0.00007 | $0.00053 |
Grade A, and why
generate-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 12d 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
Generate Tokens
Context
You are emitting a W3C Design Tokens JSON file from $ARGUMENTS (a DESIGN.md path or "current" = the most recent compose output).
Domain Context
- W3C Design Tokens spec uses
{ "$value": "...", "$type": "color|dimension|fontFamily|duration|..." }— follow it precisely or downstream tools break. - Tokens group into:
color,typography,spacing,radius,shadow,motion,zIndex. - Aliases are allowed and encouraged:
{color.brand.500}→ referenced frombutton.background.
Instructions
- Parse the source (a DESIGN.md or a
design-system/MASTER.md). - Extract: palette (with light + dark), typography stack, type scale, spacing scale, radii, shadows, motion defaults.
- Run:
python scripts/generate_tokens.py <source> --out tokens/tokens.json --format w3c - The script writes a W3C-compliant JSON. Verify it by re-parsing and summarizing counts (
12 colors, 6 typography variants, 8 spacing stops, 5 radii, 3 shadows, 4 motion). - Optionally emit sibling files with
--format <target>:style-dictionary→ emitstokens.style-dictionary.jsonfor Style Dictionarytokens-studio→ emits the Tokens Studio flavortailwind(via sibling skillgenerate-tailwind)shadcn(via sibling skillgenerate-shadcn-theme)
- Print a sample "consume from code" snippet:
import tokens from "./tokens/tokens.json"; const primary = tokens.color.brand["500"].$value;
Further Reading
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.
- 12d ago First seen · 43 lines · 74 tokens per session scan A dbecd9ae95c1
generate-tokens is a skill published in the GitHub repository realmpastai-web/claude-design-suite (2 stars, last pushed 4mo ago), licensed MIT. It adds 74 tokens to every session and 532 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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