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 skills/brainbytes-dev/everything-claude-marketing/brand-voicenpx skills add brainbytes-dev/everything-claude-marketing --skill brand-voicegit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWrote 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/brainbytes-dev/everything-claude-marketing/brand-voice)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/brand-voice"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/brand-voice.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 | $0.00027 | $0.01546 |
| Opus 5 | $0.00014 | $0.00773 |
| Sonnet 5 | $0.00005 | $0.00309 |
| Haiku 4.5 | $0.00003 | $0.00155 |
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 6d 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Voice
When to Activate
- A company needs to define its brand voice for the first time
- Existing copy feels inconsistent across channels or teams
- A rebrand or brand refresh is underway
- New writers or agencies are being onboarded
- The brand is expanding into new channels (podcast, TikTok, community)
- Customer feedback suggests the brand "sounds different" in different places
- A voice audit is requested
First Questions
- What three to five adjectives describe how you want your brand to sound?
- Who is your primary audience, and how do they speak among themselves?
- Which brands (in any industry) have a voice you admire, and why?
- What voice traits would be actively wrong for your brand?
- Are there specific contexts where your tone needs to shift (support, crisis, celebration)?
- How many people create content on behalf of the brand today?
- Do you have any existing voice documentation, even informal?
Core Concept: Voice vs Tone
Voice is your brand's personality. It stays consistent everywhere. Think of it as who you are.
Tone is the emotional inflection applied to that voice depending on context. Think of it as how you adapt to the room.
Analogy: A person's personality (voice) stays the same whether they are at a funeral or a birthday party, but their manner (tone) shifts appropriately.
Voice Attribute Framework
Define voice using three to five attribute pairs. Each pair names the trait and draws a boundary to prevent overextension.
| Attribute | But Not |
|---|---|
| Confident | Arrogant |
| Friendly | Flippant |
| Expert | Jargon-heavy |
| Bold | Reckless |
| Warm | Saccharine |
For each attribute, provide:
- Definition — one sentence explaining what this trait means for the brand.
- In practice — a concrete behavior (e.g., "We use first-person plural 'we' to sound inclusive").
- Boundary — where the trait crosses the line (e.g., "We never mock competitors by name").
- Before/After example — a real sentence rewritten to demonstrate the attribute.
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.
- 6d ago First seen · 152 lines · 27 tokens per session scan A cfaa2feae59a
brand-voice is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (5 stars, last pushed 5mo ago), licensed MIT. It adds 27 tokens to every session and 1,546 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.
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