brand-voice

brand-voice is a skill for Claude Code from MoizIbnYousaf/marketing-cli. It costs 165 tokens per session (2,319 once invoked), scanned A, original, MIT.

A writing guide that defines how a brand should sound in its content. It can derive that style from existing writing, build one through questions, or analyse a website.

In plain words
What is it for?
Creating a voice profile, reviewing existing copy, setting a tone for a new project, and keeping website or campaign writing consistent.
Why use it?
It helps prevent generic or inconsistent wording when different people or tools write for the same brand.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the marketing-cli plugin — 88 skills, 9 commands, 1 hook, 2 MCP servers shipped together

Good fit Creating a voice profile, reviewing existing copy, setting a tone for a new project, and keeping website or campaign writing consistent.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/moizibnyousaf/marketing-cli/brand-voice
Install

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.

Any agent
npx skills add MoizIbnYousaf/marketing-cli --skill brand-voice
Clone the repo
git clone --depth 1 https://github.com/MoizIbnYousaf/marketing-cli

Made for: Claude Code.

Or install marketing-cli, the plugin that ships this one along with the rest of its 88 skills, 9 commands, 1 hook, 2 MCP servers.

Wrote 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.

agentmods badge for brand-voice

README.md
[![agentmods](https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/brand-voice/github.svg)](https://agentmods.dev/skills/moizibnyousaf/marketing-cli/brand-voice)
Your own site
<a href="https://agentmods.dev/skills/moizibnyousaf/marketing-cli/brand-voice"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/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.

agentmods 80×15 button for brand-voice

Your own site · 80×15
<a href="https://agentmods.dev/skills/moizibnyousaf/marketing-cli/brand-voice"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/brand-voice.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 165 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,319 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 197
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00165 $0.02319
Opus 5 $0.00082 $0.01159
Sonnet 5 $0.00033 $0.00464
Haiku 4.5 $0.00016 $0.00232

Measured 10d ago against content hash ea57a08d1f55, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

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 10d 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.

skills/brand-voice/SKILL.md · 226 lines

How it starts

The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/brand-voice -- Brand Voice Engine

Generic copy converts worse than copy with a distinct voice. Not because the words are different -- because the reader feels like they're hearing from a PERSON, not a marketing team.

This skill defines that voice. Either by extracting it from existing content, building it strategically from scratch, or auto-scraping a URL to analyze a brand's public presence.

For output formatting, see /cmo rules/output-format.md.


On Activation

  1. Read brand/ context:
    • positioning.md — If available, use market angles to inform voice differentiation. A brand positioned as "the anti-course course" needs a different voice than one positioned as "enterprise-grade."
    • audience.md — If available, tailor vocabulary and tone to the target reader. Technical builders get different language than busy executives.
    • If neither exists, proceed with defaults. Ask the user about their market and audience during the question sequence.
  2. Check if ./brand/voice-profile.md already exists:
    • Exists → Update mode: show current profile summary, ask what to change.
    • Does not exist → Proceed to Mode Selection below.
  3. Assess the user's request to determine which mode to use (Extract, Build, or Auto-Scrape).

Three Modes

Mode 1: Extract (analyze existing content)

User provides 3-5 pieces of existing content (blog posts, emails, social posts, about page, etc).

The analysis process:

  1. Read all provided content -- look for patterns, not individual word choices
  2. Identify the voice DNA:
    • Sentence structure (short/punchy vs. flowing/complex)
    • Vocabulary level (everyday vs. technical vs. academic)
    • Emotional register (warm/friendly vs. authoritative vs. irreverent)
    • Perspective (first-person storytelling vs. objective analysis)
    • Rhythm (varies sentence length? staccato? musical?)
  3. Map the personality axes (see Voice DNA Framework below)
  4. Generate the voice profile
  5. Write to ./brand/voice-profile.md

Read the full file on GitHub · 226 lines

Files

What ships with it

2 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.

Changes

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.

  1. 10d ago First seen · 226 lines · 165 tokens per session scan A ea57a08d1f55

Subscribe to this mod's changes

brand-voice is a skill published in the GitHub repository MoizIbnYousaf/marketing-cli (31 stars, last pushed 24d ago), licensed MIT. It adds 165 tokens to every session and 2,319 once invoked, about $0.0008 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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