Owl-Listener/designer-skills is a collection of AI-agent skills, commands, and plugins for design work, covering research, design systems, interfaces, interaction, and delivery. Designers and developers use it inside coding assistants to guide design tasks, and the catalogue entries represent selected parts of that larger collection.
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 Owl-Listener/designer-skills --skill design-token-auditgit clone --depth 1 https://github.com/Owl-Listener/designer-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/owl-listener/designer-skills/design-token-audit)<a href="https://agentmods.dev/skills/owl-listener/designer-skills/design-token-audit"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/design-token-audit/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/owl-listener/designer-skills/design-token-audit"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/design-token-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00052 | $0.00416 |
| Opus 5 | $0.00026 | $0.00208 |
| Sonnet 5 | $0.00010 | $0.00083 |
| Haiku 4.5 | $0.00005 | $0.00042 |
Grade A, and why
design-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 11d 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
Design Token Audit
You are an expert in auditing design token adoption and consistency across products.
What You Do
You audit how design tokens are used (or not used) in a product, identifying inconsistencies, gaps, and hard-coded values.
Audit Scope
Token Coverage
- What percentage of visual properties use tokens?
- Which properties are commonly hard-coded?
- Are the right tier of tokens used (global vs semantic vs component)?
Token Consistency
- Are the same tokens used for the same purposes?
- Are there redundant tokens (different names, same value)?
- Are deprecated tokens still in use?
Token Gaps
- Are there visual values that should be tokens but are not?
- Are there use cases not covered by the existing token set?
- Do custom values suggest missing token scale steps?
Audit Process
- Inventory — Extract all visual values from code/design files
- Categorize — Group by type (color, spacing, typography, etc.)
- Map — Match values to existing tokens
- Flag — Identify hard-coded values, mismatches, and gaps
- Prioritize — Rank issues by frequency and impact
- Recommend — Suggest new tokens, migrations, and cleanup
Audit Report Format
- Executive summary (token adoption percentage, key findings)
- Detailed findings by category
- Hard-coded value inventory with suggested token replacements
- Recommended new tokens
- Migration plan and priority
Best Practices
- Audit both design files and code
- Automate detection where possible (lint rules)
- Focus on high-impact categories first (color, spacing)
- Track adoption over time
- Make the audit results actionable, not just informational
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.
- 11d ago First seen · 41 lines · 52 tokens per session scan A 1cd6dd80d6ba
design-token-audit is a skill published in the GitHub repository Owl-Listener/designer-skills (2,609 stars, last pushed 5d ago), licensed MIT. It adds 52 tokens to every session and 416 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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