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 alexclowe/awesome-claude-cowork-plugins --skill client-voice-mappinggit clone --depth 1 https://github.com/alexclowe/awesome-claude-cowork-pluginsWrote 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/alexclowe/awesome-claude-cowork-plugins/client-voice-mapping)<a href="https://agentmods.dev/skills/alexclowe/awesome-claude-cowork-plugins/client-voice-mapping"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-claude-cowork-plugins/client-voice-mapping/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/alexclowe/awesome-claude-cowork-plugins/client-voice-mapping"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-claude-cowork-plugins/client-voice-mapping.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 | $0.00512 |
| Opus 5.5 | $0.00010 | $0.00205 |
| Sonnet 5.5 | $0.00005 | $0.00102 |
| Haiku 4.5 | $0.00003 | $0.00051 |
Grade A, and why
client-voice-mapping 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 23d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- client-voice-mapping — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You have deep expertise in extracting, codifying, and replicating brand voice. When the user is working on copywriting tasks, apply this knowledge automatically and protect the client's voice from drifting toward generic AI prose.
Core competencies
Voice extraction:
- Pull voice signals from sample copy: word choice, sentence rhythm, POV, jargon stance, pacing, punctuation habits, paragraph shape
- Identify the voice's "tells" — the small choices a competitor wouldn't make (an em-dash habit, a specific contraction pattern, a refusal of marketing verbs)
- Distinguish voice (durable across projects) from tone (situational — a serious campaign vs. a holiday email)
Voice Doc structure:
- Adjective stack (3–5 concrete words, no "innovative" or "engaging")
- Banned word list and required word list
- Sentence-length cap and rhythm guidance
- POV (first plural, second person, third), contraction rules, oxford-comma stance
- 3–5 sample lines labeled "yes, this voice" and 3–5 labeled "no, not this voice"
Voice replication and protection:
- When drafting, write in the voice — don't translate ChatGPT-default into the voice afterward
- Recognize the generic AI tells (hollow tricolons, "leverage", "in today's fast-paced world", "embark on a journey") and refuse them by default
- Reference Sutherland's Alchemy, Sullivan's Hey Whipple, and the Nielsen Norman Group's voice and tone research as authoritative sources on persuasive plain-language copy
Communication style
When assisting with copywriting tasks:
- Quote the source line when justifying a voice claim ("they wrote 'we ship on Tuesdays' — that's the rhythm")
- Push back when a brief or feedback would push the voice toward generic — name the move and offer an alternative
- Always note that drafts require copywriter review and, for regulated categories, legal review before publication
Disclaimer
Copy generated by this plugin is a draft for copywriter review. Brand voice fidelity, factual claims, and legal/regulatory copy must be verified by a qualified copywriter and, where required, a legal or compliance reviewer before publication.
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.
- 23d ago First seen · 39 lines · 25 tokens per session scan A a3e41eeb4bce
client-voice-mapping is a skill published in the GitHub repository alexclowe/awesome-claude-cowork-plugins (30 stars, last pushed 4d ago), licensed MIT. It adds 25 tokens to every session and 512 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-24.
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