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 davekilleen/Dex --skill design-system-auditgit clone --depth 1 https://github.com/davekilleen/DexWrote 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/davekilleen/dex/design-system-audit)<a href="https://agentmods.dev/skills/davekilleen/dex/design-system-audit"><img src="https://agentmods.dev/badge/skills/davekilleen/dex/design-system-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/davekilleen/dex/design-system-audit"><img src="https://agentmods.dev/badge/skills/davekilleen/dex/design-system-audit.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 | $0.00030 | $0.01134 |
| Opus 5.5 | $0.00012 | $0.00454 |
| Sonnet 5.5 | $0.00006 | $0.00227 |
| Haiku 4.5 | $0.00003 | $0.00113 |
Grade C, and why
design-system-audit scanned grade C with 1 finding 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 2mo 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- Generated from `.claude/skills/_available/design/design-system-audit/SKILL.md` by `scripts/generate-agents-skills.py`. Do not edit. --> How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design-system audit
When to use
Use this skill when a named design system has a canonical component or token source and the requester can define the artifact sample and as-of boundary. It can assess adoption, coverage, repeated patterns, deviations, and documented exceptions without changing them.
Do not use it to define a new system, refactor product work, approve an exception, or claim organization-wide adoption from an undeclared sample. Not for editing components, tokens, design files, code, or adoption records without a separately confirmed action.
Inputs and source discipline
- Identify the canonical component and token sources, version, source date, and as-of date/time. Record the rule that makes a component or token canonical; if the source is missing or contradictory, keep adoption unknown.
- Declare the sample and coverage: population if known, eligibility rule, included and excluded artifacts, artifact/version dates, and inspection method. Do not call a sample representative without evidence for that claim.
- Define adoption numerator and denominator before counting. Record the adoption source, source date, retrieval/as-of date, and items that are uncountable; never invent a denominator or percentage.
- Locate exception records and their rationale, authority, version, and date. Treat a local pattern as an observation, not an approved exception, unless the source says so.
Method
- Confirm the canonical sources, versions, sample boundary, coverage declaration, timezone if relevant, and as-of date/time.
- Inspect the declared sample read-only. Record exact canonical component/token usage by stable artifact and location, and mark unreadable or ambiguous cases unknown.
- Apply the declared adoption definition. Reconcile numerator and denominator from eligible artifacts only; report excluded, duplicate, and uncountable items separately.
- Compare observed usage with the canonical version. Classify a deviation only when the canonical rule supports that classification and no approved exception covers it.
- Classify an intentional exception only with an explicit rationale, authority, source, and date. Otherwise distinguish unsupported deviation, possible equivalence, stale documentation, and unknown rather than guessing intent.
- Identify repeated patterns and coverage gaps, state confidence and evidence, and offer recommendations as proposals. Do not approve a component, exception, or roadmap item.
- Show a complete report preview before any requested save or downstream action and obtain explicit confirmation from the human authority.
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.
- 2mo ago Changed · +2 lines scan A → C 50e1834903d5
- 2mo ago First seen · 101 lines · 30 tokens per session scan A e338e34e57bb
design-system-audit is a skill published in the GitHub repository davekilleen/Dex (512 stars, last pushed 8d ago), licensed MIT. It adds 30 tokens to every session and 1,134 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
design-system-audit compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| design-system-auditdavekilleen/Dex | Skill | 512 | 8d ago | MIT | C | 30 | Claude Code, Codex |
| brand-landingpagewshobson/agents | Skill | 42k | yesterday | MIT | A | 112 | Claude Code |
| wcag-audit-patternswshobson/agents | Skill | 42k | yesterday | MIT | A | 45 | Claude Code |
| mermaid-diagramshiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 55 | Claude Code, Codex |
| visualizevellum-ai/vellum-assistant | Skill | 1.5k | 2d ago | MIT | A | 57 | Claude Code, Codex |
| vellum-workspace-themevellum-ai/vellum-assistant | Skill | 1.5k | 2d ago | MIT | A | 72 | Claude Code, Codex |
| vellum-avatarvellum-ai/vellum-assistant | Skill | 1.5k | 2d ago | MIT | A | 24 | Claude Code, Codex |