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.
git clone --depth 1 https://github.com/thatrebeccarae/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/rules/thatrebeccarae/claude-marketing/brand-voice-guidelines)<a href="https://agentmods.dev/rules/thatrebeccarae/claude-marketing/brand-voice-guidelines"><img src="https://agentmods.dev/badge/rules/thatrebeccarae/claude-marketing/brand-voice-guidelines/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/rules/thatrebeccarae/claude-marketing/brand-voice-guidelines"><img src="https://agentmods.dev/badge/rules/thatrebeccarae/claude-marketing/brand-voice-guidelines.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 | $0.00038 | $0.01361 |
| Opus 5 | $0.00019 | $0.00681 |
| Sonnet 5 | $0.00008 | $0.00272 |
| Haiku 4.5 | $0.00004 | $0.00136 |
Grade A, and why
brand-voice-guidelines 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Voice & Guidelines
Develop, document, and maintain consistent brand voice across all channels.
Voice vs Tone
Voice = who you are (consistent). Tone = how you adapt to context (variable).
- Voice is your brand personality — it does not change
- Tone shifts based on situation: celebration vs crisis, social vs support, blog vs legal
Voice Development Process
Step 1: Audit Existing Content
Analyze 10-20 pieces of existing content across channels:
- What adjectives describe the writing?
- What is consistent? What is inconsistent?
- How does your audience describe you?
Step 2: Define Voice Attributes
Choose 3-5 attributes that define your brand voice. Each attribute sits on a spectrum:
| Attribute | We Are | We Are NOT |
|---|---|---|
| Confident | Bold, direct, opinionated | Arrogant, dismissive, preachy |
| Approachable | Warm, conversational, human | Unprofessional, sloppy, too casual |
| Expert | Knowledgeable, precise, credible | Jargon-heavy, condescending, academic |
| Playful | Witty, creative, surprising | Silly, forced, distracting |
Step 3: Brand Personality Archetypes
| Archetype | Voice | Brands |
|---|---|---|
| The Sage | Knowledgeable, thoughtful, guiding | Google, TED, McKinsey |
| The Creator | Innovative, expressive, visionary | Apple, Adobe, Figma |
| The Hero | Bold, confident, empowering | Nike, Patagonia, Slack |
| The Jester | Playful, irreverent, entertaining | Old Spice, Mailchimp, Duolingo |
| The Caregiver | Warm, supportive, trustworthy | Dove, TOMS, Headspace |
| The Rebel | Provocative, disruptive, direct | Harley-Davidson, Basecamp, Cards Against Humanity |
| The Explorer | Adventurous, curious, independent | Airbnb, North Face, REI |
| The Ruler | Authoritative, premium, exclusive | Rolex, Mercedes, Bloomberg |
| The Everyperson | Relatable, honest, grounded | IKEA, Target, Slack |
Step 4: Create Tone Matrix
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 · 157 lines · 38 tokens per session scan A 4a15f180c862
brand-voice-guidelines is a cursor rule published in the GitHub repository thatrebeccarae/claude-marketing (134 stars, last pushed 3mo ago), licensed MIT. It adds 38 tokens to every session and 1,361 once invoked, about $0.0002 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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