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 guia-matthieu/clawfu-skills --skill brand-voicegit clone --depth 1 https://github.com/guia-matthieu/clawfu-skillsWrote 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/guia-matthieu/clawfu-skills/brand-voice)<a href="https://agentmods.dev/skills/guia-matthieu/clawfu-skills/brand-voice"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/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/guia-matthieu/clawfu-skills/brand-voice"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/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 | $0.00057 | $0.02335 |
| Opus 5 | $0.00028 | $0.01167 |
| Sonnet 5 | $0.00011 | $0.00467 |
| Haiku 4.5 | $0.00006 | $0.00233 |
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 13d 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 — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Voice & Authentic Writing
Preserve authentic human voice in AI-assisted writing using the Voice Preservation Method.
Purpose
Ensure all content maintains authentic brand voice using the Voice Preservation Method - transforming AI from ghostwriter to thinking partner while preserving genuine human voice.
Core Philosophy
Voice is identity made audible. It's not word choice or syntax—it's the blend of experience, conviction, and rhythm that tells readers who's speaking, what they value, and why it matters.
The Paradox: AI makes writing easier but communication harder. Generic efficiency creates disconnection. The goal is to use AI as a collaborator, not a replacement.
The Draft-First Principle
Never let AI originate. Always draft first, delegate later.
Your messy first draft contains your voice. AI polish can preserve it. AI generation replaces it.
| AI as Collaborator | AI as Ghostwriter |
|---|---|
| Helps you think | Replaces you |
| Organizes your ideas | Generates ideas |
| Preserves your phrasing | Invents phrasing |
| Removes clutter | Removes personality |
The Reader Question Framework
Every audience silently asks three questions. Your content must answer them:
1. What are you really trying to tell me?
Purpose: Cut through corporate fog to find the actual message.
- Write your message
- Ask: "If I had only one sentence, what would it be?"
- That sentence is your core. Everything else supports it.
Red flags: You need three paragraphs to "set up" your point, hedging with qualifiers, message could apply to any organization.
2. Why are you telling me now?
Purpose: Establish urgency and context without manipulation.
- Identify the trigger: What changed? What deadline? What opportunity?
- Make the timing explicit
- Connect timing to the reader's experience
Red flags: Message could have been sent any time in the past year, no connection to current events.
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.
- 13d ago First seen · 330 lines · 57 tokens per session scan A 7ce32f7b3805
brand-voice is a skill published in the GitHub repository guia-matthieu/clawfu-skills (149 stars, last pushed 5mo ago), licensed MIT. It adds 57 tokens to every session and 2,335 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 2026-08-30.
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