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 rshankras/claude-code-apple-skills --skill ux-writinggit clone --depth 1 https://github.com/rshankras/claude-code-apple-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/rshankras/claude-code-apple-skills/ux-writing)<a href="https://agentmods.dev/skills/rshankras/claude-code-apple-skills/ux-writing"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/ux-writing/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/rshankras/claude-code-apple-skills/ux-writing"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/ux-writing.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00083 | $0.01255 |
| Opus 5 | $0.00042 | $0.00628 |
| Sonnet 5 | $0.00017 | $0.00251 |
| Haiku 4.5 | $0.00008 | $0.00126 |
Grade A, and why
ux-writing 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.
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.
UX Writing
Interface text is interface design. This skill covers writing it: the frameworks Apple's writers use, the anatomy of the hardest components (alerts, errors, empty states, names), and the mechanical edits that improve any screen's copy in minutes.
When This Skill Activates
- Writing or reviewing user-facing copy: labels, buttons, alerts, onboarding, notifications
- Naming a new feature, tier, or setting
- Error messages that frustrate, empty states that dead-end, permission prompts that get denied
- Localization prep (copy that survives translation)
The PACE framework (Writing for Interfaces)
Run every screen's copy through four questions:
- Purpose — what must this screen communicate? Headers and buttons should carry the screen alone; know what to leave out. Hierarchy in words mirrors hierarchy in layout.
- Anticipation — what will the user ask or do next? Write for that ("What comes next?").
- Context — where is the user right now (quiet home vs. busy airport, mid-task vs. idle)? That decides how much to say.
- Empathy — write for a person having a problem, not for the system reporting one.
Voice vs. tone
- Finding voice: describe the app as a person, cluster the personality adjectives, keep 2–3 as your voice attributes — constant across the app, while tone flexes per moment (more directness for high-stakes info, sparing warmth in celebrations).
- The test that recurs in every Apple session: read it aloud. Does it sound like the best version of your app talking?
- ❌ Jargon ("it can make people feel left out"); ❌ personality at the cost of usefulness.
The four small edits (biggest impact per minute)
- Cut filler: "easily," "quickly," "simply," "just" — ✅ "Enter your license plate to pay for parking" ❌ "Simply enter your license plate number to quickly pay for parking."
- Kill repetition — merge redundant sentences: ❌ "We're running late. Your driver won't make it on time. They'll be there in 10 minutes." ✅ "Delivery delayed 10 minutes."
- Lead with the why — benefit before action: ✅ "To get reservation updates, enter your phone number." Notifications too: ✅ "Keep your streak going by solving today's crossword."
- Keep a word list — three columns: approved term · alternatives to avoid · definition (e.g. "alias — not handle/username/title — the player's in-game name, shown to others"). Reuse identical button labels ("Next") everywhere; consistency builds trust.
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 · 103 lines · 83 tokens per session scan A 9e261ee4e793
ux-writing is a skill published in the GitHub repository rshankras/claude-code-apple-skills (719 stars, last pushed 1mo ago), licensed MIT. It adds 83 tokens to every session and 1,255 once invoked, about $0.0004 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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