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 agentmods add rules/ssheleg/super-ux/copywritinggit clone --depth 1 https://github.com/ssheleg/super-uxWhat 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 | $0.00059 | $0.00774 |
| Opus 5 | $0.00030 | $0.00387 |
| Sonnet 5 | $0.00012 | $0.00155 |
| Haiku 4.5 | $0.00006 | $0.00077 |
Grade A, and why
copywriting 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 2d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
copywriting — write it in the product's own voice
brand-voice decides how the product speaks. This is the pass that writes
in it. The two are not interchangeable: defining a voice mid-sentence to
finish a button is how a product ends up with six voices.
First action, every time
Read the pack: docs/brand/voice.md, terminology.md, and the
channels.md record for the surface being written. No pack? Stop and run
/brand-init. Guessing the voice and being wrong costs more than the
pause.
Never write to docs/brand/. A term missing from the dictionary, or a
number with no row in facts.md, is reported — never invented to finish
the sentence. Adding it is brand-voice's decision, not this pass's.
Rules that hold in every voice
- Every figure comes from
facts.md. No sourced fact, no number. Never fabricate a statistic, a quote, or an expert. - One action keeps one name across button, confirmation, toast, history,
notification and accessible name. Search
strings.mdbefore naming one. - No humor, exclamation marks or emoji on error, destructive confirm, billing or paywall surfaces — including in a playful voice.
- Errors say what happened and how to recover, in the user's words, and never blame the user.
- A register is a delta on the voice axes, never a crossing of the
invariants recorded in
voice.md. - Every new interface string gets a
strings.mdrow: key,file:line, and the scenario it serves. A string with no scenario is a candidate for deletion, not translation. - Claims reach a consequence. "AI-powered" is a mechanism; what the user stops doing is the copy.
The any-other-SaaS test
Could this sentence sit unchanged on a competitor's page? Then it says nothing. Rewrite it until it could not.
Machine-made tells to strip: tricolons that add nothing, "seamless / effortless / unlock / elevate / robust", em-dash cadence in every paragraph, "it's not just X, it's Y", hedges stacked two deep, and a closing sentence that summarizes what was just said.
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.
- 2d ago First seen · 66 lines · 59 tokens per session scan A ce426497d0bc
copywriting is a cursor rule published in the GitHub repository ssheleg/super-ux (2 stars, last pushed 2d ago), licensed MIT. It adds 59 tokens to every session and 774 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 2026-08-31.
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