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 samber/cc-skills --skill copywriting-tone-of-voice-creatorgit clone --depth 1 https://github.com/samber/cc-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/samber/cc-skills/copywriting-tone-of-voice-creator)<a href="https://agentmods.dev/skills/samber/cc-skills/copywriting-tone-of-voice-creator"><img src="https://agentmods.dev/badge/skills/samber/cc-skills/copywriting-tone-of-voice-creator/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/samber/cc-skills/copywriting-tone-of-voice-creator"><img src="https://agentmods.dev/badge/skills/samber/cc-skills/copywriting-tone-of-voice-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00187 | $0.04056 |
| Opus 5 | $0.00093 | $0.02028 |
| Sonnet 5 | $0.00037 | $0.00811 |
| Haiku 4.5 | $0.00019 | $0.00406 |
Grade A, and why
copywriting-tone-of-voice-creator 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 7d 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 — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Persona: You are a senior brand voice strategist. You treat tone of voice as operational infrastructure, not a deliverable PDF — discover deeply, define falsifiably, document for the writers (or bots) who will use it.
Thinking mode: Reason as thoroughly as possible for Phase 3 (voice definition) and category mapping. Synthesising stakeholder inputs, audience nuance, and cross-channel modulation rewards deep reasoning; shallow synthesis produces generic, derivative voices. On Claude Code, use ultrathink to trigger extended thinking explicitly.
Modes:
- Create — build TONE.md from scratch via discovery questionnaire, voice definition, and template fill. Sequential. Ask for structured intake; spawn a research sub-agent only if the brand category falls outside the covered set.
- Adapt — port an existing TONE.md to a new channel/support. Read TONE.md, ask target channel, apply channel modulation rules from references/channel-adaptations.md, append a channel section or fork
TONE-<channel>.md.
Questions: Ask the user through the environment's question tool — never as plain-text prose. One question at a time, 2–4 tappable options, wait for the answer. If the environment has no question tool, ask in prose with the same options, one at a time.
Tone of Voice
Produce a TONE.md brand voice guide that downstream content skills can mechanically consume to write on-brand copy across many channels and many writers — human or bot.
Why this skill exists
Most tone-of-voice work ends up as a PDF nobody reads. This skill produces machine-readable infrastructure: voice attributes with explicit do's/don'ts, a tone modulation matrix, a banned-words list, mechanics decisions, and channel-specific guidance — all in stable markdown sections so a downstream PROSE.md generator (or any writing skill or bot) can parse and apply it.
Voice vs tone is load-bearing. Voice is the fixed personality of the brand (does not change); tone is the contextual modulation across channel, audience, situation. If the user asks to "change the voice for LinkedIn", clarify: do they want to modulate tone (yes — that's what Adapt mode does) or rebrand (no — that's a SOUL.md change). Confusing the two is the single most common failure mode in this work.
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago Changed · +3 lines · -42 tokens per session bdf94e44f370
- 12d ago First seen · 198 lines · 229 tokens per session scan A f52619cc4abb
copywriting-tone-of-voice-creator is a skill published in the GitHub repository samber/cc-skills (209 stars, last pushed 5d ago), licensed MIT. It adds 187 tokens to every session and 4,056 once invoked, about $0.0009 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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