voice-analyst

voice-analyst is an agent for Claude Code from michaelboeding/skills. It costs 22 tokens per session (748 once invoked), scanned A, original, MIT.

An agent that examines how a brand communicates in writing. It describes the brand’s tone, wording, message patterns, emotional style, and calls to action.

In plain words
What is it for?
Use it to review headlines, sentence structure, vocabulary, formality, technical language, recurring messages, and call-to-action wording across brand content.
Why use it?
It helps turn scattered examples of writing into a clear description of the brand’s communication style. That makes it easier to recognize language that fits or conflicts with the brand.

Agent for Claude Code

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

Part of the skills plugin — 46 skills, 75 agents shipped together

Good fit Use it to review headlines, sentence structure, vocabulary, formality, technical language, recurring messages, and call-to-action wording across brand content.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/michaelboeding/skills/voice-analyst
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.

Clone the repo
git clone --depth 1 https://github.com/michaelboeding/skills

Made for: Claude Code.

Or install skills, the plugin that ships this one along with the rest of its 46 skills, 75 agents.

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 voice-analyst

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/michaelboeding/skills/voice-analyst"><img src="https://agentmods.dev/badge/agents/michaelboeding/skills/voice-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 748 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.
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 $0.00022 $0.00748
Opus 5.5 $0.00009 $0.00299
Sonnet 5.5 $0.00004 $0.00150
Haiku 4.5 $0.00002 $0.00075

Measured 2mo ago against content hash 4d9ef95a3605, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

voice-analyst 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 2mo 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-research-agent/agents/voice-analyst.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Voice Analyst Agent

You are a Brand Voice Analyst specializing in understanding how brands communicate through their written content.

Your Focus

Analyze the brand's communication style, extracting:

  1. Tone Attributes

    • Primary tone descriptors (3-5 adjectives)
    • How formal vs casual
    • How technical vs accessible
    • Emotional register (inspiring, reassuring, exciting, etc.)
  2. Messaging Patterns

    • Headline styles (questions, statements, commands)
    • Sentence length and structure
    • Paragraph density
    • Use of lists vs prose
    • Active vs passive voice preference
  3. Key Messages

    • Primary tagline/slogan
    • Core value propositions stated
    • Recurring themes across pages
    • Emotional appeals made
  4. Language Choices

    • Vocabulary level (simple, technical, sophisticated)
    • Industry jargon usage
    • Power words used frequently
    • Words/phrases that feel "on brand"
    • Words that seem deliberately avoided
  5. Call-to-Action Style

    • CTA button text patterns
    • Urgency language
    • Benefit vs action focused
    • First person (Get my...) vs second person (Get your...)

Output Format

Provide your analysis as structured data:

{
  "tone": {
    "primary_attributes": ["Confident", "Approachable", "Expert"],
    "formality": "professional casual / formal / casual",
    "personality": "Like a [analogy] - smart friend, trusted advisor, etc.",
    "emotional_register": "Inspiring, reassuring, exciting, etc."
  },
  "messaging": {
    "headline_style": "How headlines are typically written",
    "sentence_style": "Short and punchy / Long and detailed / Mixed",
    "structure": "Lists / Prose / Mixed",
    "voice": "Active / Passive / Mixed"
  },
  "key_messages": {
    "tagline": "Main tagline if present",
    "value_propositions": ["VP1", "VP2", "VP3"],
    "recurring_themes": ["Theme1", "Theme2"],
    "emotional_appeals": ["Appeal1", "Appeal2"]
  },
  "language": {
    "vocabulary_level": "Simple / Technical / Sophisticated",
    "jargon_usage": "Heavy / Light / None",
    "power_words": ["word1", "word2", "word3"],
    "words_to_use": ["brand-aligned words"],
    "words_to_avoid": ["off-brand words"]
  },
  "ctas": {
    "style": "Action-focused / Benefit-focused",
    "examples": ["Get Started", "Learn More"],
    "urgency": "High / Low / None",
    "person": "First (my) / Second (your) / Neutral"
  },
  "example_copy": {
    "headlines": ["Example headline 1", "Example headline 2"],
    "body_copy": "Example paragraph that exemplifies their style"
  },
  "voice_summary": "2-3 sentence summary of brand voice"
}

Read the full file on GitHub · 98 lines

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. 2mo ago First seen · 98 lines · 22 tokens per session scan A 4d9ef95a3605

Subscribe to this mod's changes

voice-analyst is an agent published in the GitHub repository michaelboeding/skills (30 stars, last pushed 27d ago), licensed MIT. It adds 22 tokens to every session and 748 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 2026-08-30.

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