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 murphytrueman/design-system-ops --skill naming-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/naming-audit)<a href="https://agentmods.dev/skills/murphytrueman/design-system-ops/naming-audit"><img src="https://agentmods.dev/badge/skills/murphytrueman/design-system-ops/naming-audit.svg" alt="Measured on agentmods" height="20"></a>- 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 | $0.00067 | $0.02464 |
| Opus 5 | $0.00034 | $0.01232 |
| Sonnet 5 | $0.00013 | $0.00493 |
| Haiku 4.5 | $0.00007 | $0.00246 |
Grade A, and why
naming-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 8d 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 — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Naming audit
A skill for auditing naming conventions across a design system's components, tokens, and patterns. Produces a violation report with specific examples, ambiguity flags, and rename suggestions with rationale.
Context
Naming is the primary interface between a design system and its consumers. A name is the first piece of information a designer or developer gets about what a component does, what a token means, or how a pattern behaves. Good names are predictable: consumers can guess what a name refers to before they look it up. Bad names require lookup, then clarification, then occasionally a conversation to confirm what was meant.
Naming problems accumulate. A single ambiguous component name is an inconvenience. Twenty ambiguous names spread across a library, with some following one convention and others following three others, is a system that new team members cannot navigate and experienced team members cannot trust.
This audit covers naming for components, tokens, and any documented patterns. It does not mandate a specific naming convention — it assesses whether the naming is consistent, unambiguous, and fit for its purpose.
Step 0: Identify what you're looking at
Before auditing names, determine what kind of shared UI this is. The library type changes how strict the consistency expectations should be and what recommendations are proportionate.
Classify from codebase signals:
- Design system — Full audit applies. Naming conventions should be documented, consistent, and enforced. Recommend creating a decision record for any undocumented conventions.
- Component library — Naming consistency matters, but the recommendation to "create a decision record" should be scaled down to "write down the convention you're already following, even if it's just a comment in the README." A 5-component library does not need a formal governance artefact.
- Pattern library — Naming conventions often follow the documentation tool's conventions (Fractal's folder numbering, Storybook's story hierarchy). Audit against the tool's conventions as well as internal consistency. Pattern names tend to describe what the pattern shows rather than what it does — flag this only if it creates confusion, not as a blanket violation.
- Utility collection — Naming is the primary interface. Every utility name needs to be unambiguous and predictable because there's no documentation site to fall back on. The audit should be strict on clarity and lenient on formal convention — a utility called
clamp-widthis better than one calledu-cweven if the latter follows a prefix convention.
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.
- 8d ago First seen · 201 lines · 67 tokens per session scan A fc7fcdbda927
naming-audit is a skill published in the GitHub repository murphytrueman/design-system-ops (176 stars, last pushed 16d ago), licensed MIT. It adds 67 tokens to every session and 2,464 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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