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extract-my-voice

extract-my-voice is a skill for Claude Code from bjorn-ingmanson/thefroject-plugins. It costs 37 tokens per session (602 once invoked), scanned A, original, MIT.

A skill that studies your writing from connected work tools or supplied samples and creates a guide to your usual voice.

In plain words
What is it for?
Use it when you want an agent to draft messages, emails, or documents in a style similar to your own.
Why use it?
It gives an agent evidence about your tone, sentence style, vocabulary, and formatting preferences.

Skill for Claude Code

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

Part of the thefroject-customer-success plugin — 47 skills, 11 commands shipped together

not rated 1repo 4mo ago A scan 37 tokens original MIT

Good fit Use it when you want an agent to draft messages, emails, or documents in a style similar to your own.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bjorn-ingmanson/thefroject-plugins/extract-my-voice
View source ↗ bjorn-ingmanson/thefroject-plugins
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 bjorn-ingmanson/thefroject-plugins --skill extract-my-voice
Clone the repo
git clone --depth 1 https://github.com/bjorn-ingmanson/thefroject-plugins

Made for: Claude Code.

Or install thefroject-customer-success, the plugin that ships this one along with the rest of its 47 skills, 11 commands.

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 extract-my-voice

README.md
[![agentmods](https://agentmods.dev/badge/skills/bjorn-ingmanson/thefroject-plugins/extract-my-voice/github.svg)](https://agentmods.dev/skills/bjorn-ingmanson/thefroject-plugins/extract-my-voice)
Your own site
<a href="https://agentmods.dev/skills/bjorn-ingmanson/thefroject-plugins/extract-my-voice"><img src="https://agentmods.dev/badge/skills/bjorn-ingmanson/thefroject-plugins/extract-my-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 extract-my-voice

Your own site · 80×15
<a href="https://agentmods.dev/skills/bjorn-ingmanson/thefroject-plugins/extract-my-voice"><img src="https://agentmods.dev/badge/skills/bjorn-ingmanson/thefroject-plugins/extract-my-voice.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 602 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 $0.00037 $0.00602
Opus 5.5 $0.00015 $0.00241
Sonnet 5.5 $0.00007 $0.00120
Haiku 4.5 $0.00004 $0.00060

Measured 2mo ago against content hash 0362b49077f7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

extract-my-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 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.

customer-success/skills/extract-my-voice/SKILL.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Extract My Voice

Analyze the user's actual writing across connected sources and create a voice reference file that Claude can use to match their tone and style.

Sources (check in order, use what's available)

  1. Slack: Search for messages by the user. Read across multiple channels. Minimum 50 messages for a useful analysis.
  2. Gmail: Read sent emails. Look for variety: different recipients, different purposes, different levels of formality.
  3. Notion/Docs: Read authored pages and documents. Look for longer-form writing.
  4. Provided samples: If no sources are connected, ask the user to paste 3-5 examples of their writing. Different formats if possible (email, post, doc, message).

Analysis

For each source, identify:

  • Default tone: where do they sit on formal/casual, warm/neutral, confident/tentative
  • Sentence rhythm: short/long, varied/consistent, fragments or full sentences
  • Openings and closings: how they start and end emails, messages, documents
  • Formatting preferences: bullets vs prose, headers vs flat text, emoji usage
  • Vocabulary fingerprint: words they reach for, words they consistently avoid
  • Register shifts: how does tone change by audience, channel, or format?
  • Paragraph structure: length, density, how they break up ideas

If the user writes in multiple languages, analyze each language separately. Voice often changes significantly between languages.

Output

Create context/my-voice.md with:

  1. A prose description of their voice (not a list of rules, a description that reads naturally)
  2. 3-5 short quoted examples that capture the style, pulled from actual writing
  3. A "do / don't" section with specific guidance for Claude:
    • Words and phrases to use
    • Words and phrases to avoid
    • Formatting rules (line length, list style, emoji policy)
    • Tone rules by context (emails vs posts vs docs)
  4. Separate sections per language if they write in multiple languages

After saving

Tell the user: "I'll use this file as reference whenever you ask me to write something. If I drift from your voice, tell me and I'll update the file."

Read the full file on GitHub · 55 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 · 55 lines · 37 tokens per session scan A 0362b49077f7

Subscribe to this mod's changes

extract-my-voice is a skill published in the GitHub repository bjorn-ingmanson/thefroject-plugins (1 stars, last pushed 4mo ago), licensed MIT. It adds 37 tokens to every session and 602 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 2026-08-31.

Writing and docs
Related

extract-my-voice compared with skills from other repositories

extract-my-voice next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
extract-my-voicebjorn-ingmanson/thefroject-pluginsSkill14mo agoMITA37Claude Code
imagegenopenai/codexSkill134ktodayApache-2.0A113Codex
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79kyesterdayMITA200Claude Code, Codex
playwright-climicrosoft/playwrightSkill100kyesterdayApache-2.0A19Claude Code
browser-automationopenclaw/openclawSkill394ktodayMITA36Claude Code
systematic-debuggingobra/superpowersSkill314k4d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code