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-voice-learnergit 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-learner)<a href="https://agentmods.dev/skills/guia-matthieu/clawfu-skills/brand-voice-learner"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/brand-voice-learner/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-learner"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/brand-voice-learner.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 | $0.00025 | $0.02306 |
| Opus 5 | $0.00013 | $0.01153 |
| Sonnet 5 | $0.00005 | $0.00461 |
| Haiku 4.5 | $0.00003 | $0.00231 |
Grade A, and why
brand-voice-learner 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 — 392 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Voice Learner
Analyze existing brand content to extract voice characteristics, create actionable voice guidelines, and ensure consistent brand expression across all communications.
When to Use This Skill
- Creating brand voice guidelines
- Onboarding new writers
- Auditing voice consistency
- Adapting voice for channels
- Training AI writing tools
Methodology Foundation
Based on NN/g voice research and content strategy best practices, combining:
- Linguistic pattern analysis
- Voice dimension mapping
- Guidelines development
- Consistency measurement
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Analyzes existing content | Content sources to analyze |
| Extracts voice patterns | Voice evolution direction |
| Creates voice guidelines | Approval of guidelines |
| Identifies inconsistencies | Exception handling |
| Suggests voice examples | Final voice choices |
Instructions
Step 1: Gather Voice Samples
Content to Analyze:
| Source | Purpose |
|---|---|
| Website copy | Core brand voice |
| Blog posts | Extended voice |
| Social media | Casual variation |
| Email campaigns | Direct communication |
| Product UI | Functional voice |
| Customer support | Empathetic voice |
Sample Requirements:
- Minimum 10-15 pieces
- Variety of contexts
- Include best examples
- Cover different tones
Step 2: Analyze Voice Dimensions
Voice Dimension Framework:
| Dimension | Spectrum |
|---|---|
| Formality | Casual ←→ Formal |
| Personality | Serious ←→ Playful |
| Directness | Indirect ←→ Direct |
| Enthusiasm | Reserved ←→ Enthusiastic |
| Technical | Simple ←→ Technical |
| Warmth | Distant ←→ Warm |
Step 3: Extract Patterns
Linguistic Elements:
| Element | What to Identify |
|---|---|
| Sentence length | Short, medium, long |
| Word choice | Common, specialized, branded |
| Contractions | Used, avoided, mixed |
| Active/passive | Preference |
| Pronouns | We/you/they patterns |
| Punctuation | Exclamations, ellipses, etc. |
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 · 392 lines · 25 tokens per session scan A f7c13189aded
brand-voice-learner is a skill published in the GitHub repository guia-matthieu/clawfu-skills (149 stars, last pushed 5mo ago), licensed MIT. It adds 25 tokens to every session and 2,306 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 2026-08-30.
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