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 ssheleg/super-ux --skill brand-voicegit clone --depth 1 https://github.com/ssheleg/super-uxWrote 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/ssheleg/super-ux/brand-voice)<a href="https://agentmods.dev/skills/ssheleg/super-ux/brand-voice"><img src="https://agentmods.dev/badge/skills/ssheleg/super-ux/brand-voice/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/ssheleg/super-ux/brand-voice"><img src="https://agentmods.dev/badge/skills/ssheleg/super-ux/brand-voice.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 | $0.00149 | $0.01604 |
| Opus 5 | $0.00075 | $0.00802 |
| Sonnet 5 | $0.00030 | $0.00321 |
| Haiku 4.5 | $0.00015 | $0.00160 |
Grade A, and why
brand-voice 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 5d 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
brand-voice — define and hold the verbal identity
Part of super-ux — see system-map.md for the whole pipeline. After changes, run
python3 docs/brand/lint.py.
docs/ux/ decides what the product does. This skill decides how it
speaks, and owns docs/brand/ in the target project.
Format contract: brand-contract.md
(brand-contract v1). Read it before writing or editing anything under
docs/brand/. Never deviate from its file names, field names or statuses —
the linter and the audit key off them.
The pack library: voice-packs.md — six archetypes, each with a declared failure mode. The register model: surface-registers.md. Locales: localization.md.
Invoked with no task → status, then one next action
- Report the state: is a pack recorded, what
voice.mdsays itsStatusis, how many facts carry⚠ TBDor no source, locale parity, and the linter's error and warning counts. - Name every unresolved fact. Never invent one to close a gap — an unknown is reported, not filled.
- Propose exactly one next action, usually the top open fact or the surface the user actually came for.
Where the voice comes from
The pack is derived from docs/ux/foundation.md — personas, jobs, and the
deciding input: what the user loses when the product fails. A voice that
charms when the stakes are a playlist is intolerable when the stakes are
payroll.
The dependency runs one way. A persona never changes because a tone was
appealing. With no foundation, work in degraded mode: stamp
Derived-from: inferred, say plainly that the WHY layer should be built, and
continue rather than blocking.
The route itself has a spoken opt-out: an operator saying "no brand" / «без бренда» declines it — proceed without the pack and say so, rather than dropping it silently.
Choosing a workflow
What ships with it
17 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/ai-tells.md 15 KB
- references/brand-contract.md 19 KB
- references/channel-playbooks.md 5.7 KB
- references/localization.md 5.2 KB
- references/marketing-copy.md 7.0 KB
- references/seo-aeo-safety.md 6.4 KB
- references/store-copy.md 5.1 KB
- references/surface-registers.md 8.5 KB
- references/system-map.md 8.3 KB
- references/voice-packs.md 16 KB
- templates/brand/channels.md 3.5 KB
- templates/brand/facts.md 1.3 KB
- templates/brand/locale.md 2.2 KB
- templates/brand/README.md 1.9 KB
- templates/brand/strings.md 1.7 KB
- templates/brand/terminology.md 1.2 KB
- templates/brand/voice.md 2.0 KB
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.
- 5d ago Changed · +4 lines 5232e797d83c
- 11d ago First seen · 130 lines · 149 tokens per session scan A 4bcc16181736
brand-voice is a skill published in the GitHub repository ssheleg/super-ux (3 stars, last pushed yesterday), licensed MIT. It adds 149 tokens to every session and 1,604 once invoked, about $0.0007 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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