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 Dragoon0x/everything-design-taste --skill brand-voicegit clone --depth 1 https://github.com/Dragoon0x/everything-design-tasteWrote 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/dragoon0x/everything-design-taste/brand-voice)<a href="https://agentmods.dev/skills/dragoon0x/everything-design-taste/brand-voice"><img src="https://agentmods.dev/badge/skills/dragoon0x/everything-design-taste/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/dragoon0x/everything-design-taste/brand-voice"><img src="https://agentmods.dev/badge/skills/dragoon0x/everything-design-taste/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 | $0.00027 | $0.00662 |
| Opus 5 | $0.00014 | $0.00331 |
| Sonnet 5 | $0.00005 | $0.00132 |
| Haiku 4.5 | $0.00003 | $0.00066 |
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 7d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Voice
Voice vs Tone
Voice is who you are. It doesn't change. A brand that's direct and honest is always direct and honest.
Tone shifts by context. The same direct brand sounds different in a celebration (enthusiastic, warm) vs an error message (clear, reassuring) vs a legal disclaimer (precise, transparent).
Defining Voice
The Attribute Framework
Pick 3-4 attributes. For each, define what it is, what it isn't, and give examples.
## Voice Attribute: [Name]
**What it is:** [Clear definition]
**What it isn't:** [The extreme to avoid]
**Sounds like:** "[Example sentence]"
**Doesn't sound like:** "[Anti-example sentence]"
Example:
## Voice Attribute: Confident
**What it is:** We know our stuff and we say it simply.
**What it isn't:** Arrogant, dismissive, or condescending.
**Sounds like:** "Your data is safe. Here's exactly how we protect it."
**Doesn't sound like:** "We are the industry-leading solution for data protection."
Tone Calibration by Context
| Context | More... | Less... | Example |
|---|---|---|---|
| Onboarding | Warm, encouraging | Technical, formal | "Nice, you're set up. Let's build something." |
| Error states | Clear, helpful | Apologetic, vague | "That file is too large. Max size is 10MB." |
| Marketing | Bold, specific | Hype-y, generic | "Cut review time by 40%." |
| Documentation | Clear, scannable | Dense, academic | "To add a user, click Settings then Team." |
| Pricing | Transparent, direct | Cagey, qualified | "Free up to 5 users. $12/user/month after." |
| Changelog | Specific, honest | Vague, corporate | "Fixed: images now load on slow connections." |
Word Lists
Build Three Lists
Preferred words — Words that represent our voice Acceptable alternatives — Words that work but aren't ideal Banned words — Words we never use
Example:
| Preferred | Acceptable | Banned |
|-----------|-----------|--------|
| Use | Employ | Utilize, leverage |
| Help | Assist | Empower, enable |
| Simple | Easy | Seamless, frictionless |
| Fast | Quick | Blazing, lightning |
| New | Updated | Revolutionary, groundbreaking |
| Fix | Resolve | Remediate |
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.
- 7d ago First seen · 75 lines · 27 tokens per session scan A de7f3e2120ef
brand-voice is a skill published in the GitHub repository Dragoon0x/everything-design-taste (11 stars, last pushed 5mo ago), licensed MIT. It adds 27 tokens to every session and 662 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 2026-09-03.
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