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 agentmods add skills/murphytrueman/design-system-ops/token-documentationnpx skills add murphytrueman/design-system-ops --skill token-documentationgit clone --depth 1 https://github.com/murphytrueman/design-system-opsWrote 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/murphytrueman/design-system-ops/token-documentation)<a href="https://agentmods.dev/skills/murphytrueman/design-system-ops/token-documentation"><img src="https://agentmods.dev/badge/skills/murphytrueman/design-system-ops/token-documentation.svg" alt="Measured on agentmods" 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 | $0.00065 | $0.03101 |
| Opus 5 | $0.00032 | $0.01550 |
| Sonnet 5 | $0.00013 | $0.00620 |
| Haiku 4.5 | $0.00006 | $0.00310 |
Grade A, and why
token-documentation 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 4d 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 — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Token documentation
A skill for writing documentation for design tokens that communicates semantic intent, usage context, and application rules across all three tiers. Output is reference documentation that tells consumers what a token means and how to use it correctly — not just what value it resolves to.
Context
Token documentation has a chronic problem: it stops at the value. A token reference that says color.action.primary: #0066CC tells a consumer the resolved colour, but not when to use it, what it communicates to users, which components it belongs on, or what happens when it is misapplied. Teams that rely purely on value-level documentation make naming decisions based on colour proximity rather than semantic intent, and the system drifts.
The goal is documentation that makes the semantic contract legible. A consumer reading these docs should come away understanding not just what a token resolves to, but why it exists and where it belongs.
Boundaries
This skill documents existing tokens. It does not create new tokens, redesign the token architecture, or validate token file structure (use schema-validator for structural validation, token-audit for architectural assessment). If the token set is empty or has not been defined yet, this skill does not apply — help the team establish their token architecture first. If only primitive tokens exist (no semantic tier), note that the documentation value is limited since primitive tokens are largely self-documenting, and suggest establishing a semantic tier before investing in documentation.
Configuration
Before producing output, check for a .ds-ops-config.yml file in the project root. If present, load:
integrations.style_dictionary— if enabled, parse the token tree automaticallyintegrations.figma— if enabled, pull Figma variables to cross-referenceintegrations.documentation— if enabled, check for existing token docs to update rather than rewrite
Auto-pull integrations
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.
- 4d ago First seen · 271 lines · 65 tokens per session scan A 8dc2d6bec2a0
token-documentation is a skill published in the GitHub repository murphytrueman/design-system-ops (174 stars, last pushed 12d ago), licensed MIT. It adds 65 tokens to every session and 3,101 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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