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 voice-designgit 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/voice-design)<a href="https://agentmods.dev/skills/guia-matthieu/clawfu-skills/voice-design"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/voice-design/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/voice-design"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/voice-design.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 | $0.00073 | $0.03822 |
| Opus 5 | $0.00036 | $0.01911 |
| Sonnet 5 | $0.00015 | $0.00764 |
| Haiku 4.5 | $0.00007 | $0.00382 |
Grade A, and why
voice-design 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 12d 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 — 584 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Voice Design
Select and create the perfect AI voice for your content using ElevenLabs, Qwen3-TTS, and other platforms—matching voice characteristics to brand personality and audience.
When to Use This Skill
- Choosing an AI voice for video narration
- Creating a consistent brand voice across content
- Cloning a voice for scalable production
- Comparing voice synthesis platforms
- Designing voice characteristics by description
- Casting multiple voices for different characters/uses
Methodology Foundation
Source: ElevenLabs + Qwen3-TTS + Voice Design Best Practices
Core Principle: "La voix est 50% de l'impact d'une vidéo"—a poorly chosen or generated voice breaks the illusion. The best AI voice is one listeners don't notice is AI. This requires matching voice characteristics (age, gender, tone, pace) to content type and audience expectations.
Why This Matters: AI voice synthesis has reached human-level quality for most use cases, enabling content creation at scale. But the technology is only as good as the voice selection. A mismatched voice undermines content regardless of how natural it sounds.
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Structures production workflow | Final creative direction |
| Suggests technical approaches | Equipment and tool choices |
| Creates templates and checklists | Quality standards |
| Identifies best practices | Brand/voice decisions |
| Generates script outlines | Final script approval |
What This Skill Does
- Matches voice to brand - Translates brand attributes into voice characteristics
- Selects optimal platform - ElevenLabs vs Qwen3-TTS vs alternatives based on needs
- Designs voices by description - Creates custom voices from text prompts
- Manages voice consistency - Maintains the same voice across projects
- Casts multi-voice projects - Selects complementary voices for dialogues/characters
How to Use
Select AI Voice
Help me choose an AI voice for [content type].
Brand: [personality]
Audience: [who]
Content: [describe]
Platform preference: [if any]
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.
- 12d ago First seen · 584 lines · 73 tokens per session scan A 4b4e78a5d9aa
voice-design is a skill published in the GitHub repository guia-matthieu/clawfu-skills (149 stars, last pushed 5mo ago), licensed MIT. It adds 73 tokens to every session and 3,822 once invoked, about $0.0004 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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