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-auditnpx skills add murphytrueman/design-system-ops --skill token-auditgit 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-audit)<a href="https://agentmods.dev/skills/murphytrueman/design-system-ops/token-audit"><img src="https://agentmods.dev/badge/skills/murphytrueman/design-system-ops/token-audit.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 | $0.00093 | $0.05846 |
| Opus 5 | $0.00046 | $0.02923 |
| Sonnet 5 | $0.00019 | $0.01169 |
| Haiku 4.5 | $0.00009 | $0.00585 |
Grade A, and why
token-audit 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 5d 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 — 365 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Token audit
A skill for auditing design token architecture across whichever tiers are in use — typically primitives and semantics, with component tokens where the system uses them. Produces a structured report with severity-rated findings and a prioritised remediation list.
Context
This skill draws on the tiered token architecture model: primitives encode raw values, semantic tokens encode intent, and — where present — component tokens map intent to specific UI contexts. Not every system uses component tokens, and the absence of a component tier is not a finding. Most token debt accumulates when tiers blur — when component contexts reference primitives directly, when semantic names describe appearance rather than purpose, or when the primitive layer is treated as the only layer.
The audit is not about enforcing a particular naming convention. It's about identifying where the token structure is working against the teams using it.
Configuration
Before producing output, check for a .ds-ops-config.yml file in the project root. If present, load:
severity.*— overrides for finding severity ratings (e.g.hardcoded_color: criticalinstead of the defaulthigh)system.theming— if true, elevate hardcoded colour findings to the severity specified in configsystem.styling— pre-selects the format-specific guidance to applyintegrations.style_dictionary— if enabled, auto-parse tokens via Style Dictionary v4 (see auto-pull below)integrations.figma— if enabled, pull Figma variables as an additional token sourcerecurring.*— if this is a recurring run, load the previous report for trend comparison (see recurring workflow below)
If no config file exists, proceed with defaults and manual input as before.
Auto-pull integrations
If integrations are configured in .ds-ops-config.yml, pull data automatically before asking the user for manual input:
Style Dictionary v4 (integrations.style_dictionary.enabled: true):
- Parse the config at
integrations.style_dictionary.config_path - Extract the full token tree with resolved references and tier structure
- Use this as the primary token source — skip the manual "provide your token files" question
- If Style Dictionary v4 is installed, run
npx style-dictionary build --config [path] --dry-runto validate references without writing output
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.
- 5d ago First seen · 365 lines · 93 tokens per session scan A 1e91ce131473
token-audit is a skill published in the GitHub repository murphytrueman/design-system-ops (175 stars, last pushed 14d ago), licensed MIT. It adds 93 tokens to every session and 5,846 once invoked, about $0.0005 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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