Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add robzilla1738/roberts-skills/plugin install macos-designWrote 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/commands/robzilla1738/roberts-skills/macos-design)<a href="https://agentmods.dev/commands/robzilla1738/roberts-skills/macos-design"><img src="https://agentmods.dev/badge/commands/robzilla1738/roberts-skills/macos-design.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 5.1 | $0.00023 | $0.00141 |
| Opus 5 | $0.00012 | $0.00071 |
| Sonnet 5 | $0.00005 | $0.00028 |
| Haiku 4.5 | $0.00002 | $0.00014 |
Grade A, and why
macos-design 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.
What it actually says
macOS design task: $ARGUMENTS
Load and follow the macos-design skill at ${CLAUDE_PLUGIN_ROOT}/skills/macos-design/SKILL.md:
read the hub, then open only the reference spokes the task needs (foundations, layout/windowing,
navigation, toolbars/menus, Liquid Glass, accessibility, SwiftUI/AppKit patterns, critique
checklists). Produce native-feeling specs or scaffolding per current HIG.
If $ARGUMENTS is empty, ask what to design, critique, or scaffold.
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 · 13 lines · 23 tokens per session scan A d2285ec636bb
macos-design is a command published in the GitHub repository robzilla1738/roberts-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 23 tokens to every session and 141 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
hatch3r-design-system-create
Create a project design system from brand assets or an elicitation dialog — DTCG 2025.10 token emission, 3-tier taxonomy (primitive → semantic → component), OKLCH ramps, dual output design.md + design-tokens.json, gated on WCAG 2.2 AA contrast, 100% theme parity, and 0 dangling aliases.
verify
Fidelity check — rebuild a page from the extracted tokens, pixel-diff it against the live site, and score how faithfully the tokens capture the design.
critique-screen
Run all seven visual critiques on a screen and output a prioritised fix list.
critique-ux
Run a focused UX critique on a screen — affordances, information density, and hierarchy — and output a prioritised fix list.
design-onboarding
Design a first-run experience end to end — activation path, progressive disclosure, and time to first value.
frame-problem
Structure an ambiguous design challenge into a clear problem definition with constraints and criteria.