write-in-my-voice

write-in-my-voice is a skill for Claude Code, Codex from ymeiri/voice-layer. It costs 153 tokens per session (1,393 once invoked), scanned A, original, MIT.

A writing tool that drafts or rewrites text to match your personal style, audience, and communication channel while keeping the original meaning and technical terms.

In plain words
What is it for?
Use it for Slack messages, emails, pull-request descriptions, code reviews, issues, documentation, design documents, release notes, and similar writing.
Why use it?
It removes the need to manually make AI-written text sound like you. It also reduces generic wording and obvious signs that text was AI-generated.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present. Also seen: mentions Claude Code.

Part of the voice-layer plugin — 2 skills shipped together

Good fit Use it for Slack messages, emails, pull-request descriptions, code reviews, issues, documentation, design documents, release notes, and similar writing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ymeiri/voice-layer/write-in-my-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 ymeiri/voice-layer --skill write-in-my-voice
Clone the repo
git clone --depth 1 https://github.com/ymeiri/voice-layer

Made for: Claude Code, Codex.

Or install voice-layer, the plugin that ships this one along with the rest of its 2 skills.

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 write-in-my-voice

README.md
[![agentmods](https://agentmods.dev/badge/skills/ymeiri/voice-layer/write-in-my-voice/github.svg)](https://agentmods.dev/skills/ymeiri/voice-layer/write-in-my-voice)
Your own site
<a href="https://agentmods.dev/skills/ymeiri/voice-layer/write-in-my-voice"><img src="https://agentmods.dev/badge/skills/ymeiri/voice-layer/write-in-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 write-in-my-voice

Your own site · 80×15
<a href="https://agentmods.dev/skills/ymeiri/voice-layer/write-in-my-voice"><img src="https://agentmods.dev/badge/skills/ymeiri/voice-layer/write-in-my-voice.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 153 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,393 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 $0.00153 $0.01393
Opus 5 $0.00077 $0.00696
Sonnet 5 $0.00031 $0.00279
Haiku 4.5 $0.00015 $0.00139

Measured 12d ago against content hash ccfe5fe84ed1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

write-in-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 12d 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.

packages/claude-code/skills/write-in-my-voice/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Write In My Voice

Rewrite or draft text so it sounds like the user wrote it. Preserve meaning, facts, and technical identifiers. If a calibrated profile exists, use it. If not, default to direct, plain, low-ceremony writing.

Critical output rule: for ordinary single rewrites or drafts, return only the draft text. Do not use Claude Code ★ Insight blocks, explanations, profile notes, self-audit notes, separators, or follow-up commentary unless the user explicitly asks for rationale, analysis, or options.

Profile lookup

Look for a voice profile in this order:

  1. A path the user provides in the prompt.
  2. $VOICE_LAYER_PROFILE, if the environment is visible.
  3. ~/.config/voice-layer/voice-profile.md.

Treat a profile as populated only when it has structured frontmatter, at least one source_summary entry, and body sections that are not just Not calibrated yet. placeholders. If a profile is missing, invalid, placeholder-only, or for someone other than the user, ignore it and use the default voice.

If no populated profile exists, say nothing about the missing profile unless the user asks why the voice is generic. Do not run calibration from this skill.

Voice-layer model

Apply these layers in order:

  1. Facts, safety, and consent.
  2. Channel or document shape.
  3. The user's calibrated voice.
  4. Audience adaptation.
  5. Requested vibe.
  6. Localization or spelling preferences.

Do not let a vibe, audience, or locale request erase the user's voice. Culture is not a costume. Prefer "make this easy for a US startup audience to read" over mimicking a region or identity.

Workflow

  1. Identify the task: draft or rewrite.
  2. Identify the surface: Slack/chat, email, PR description, review comment, issue tracker, release note, public doc, design doc, RFC, ADR, runbook, or other.
  3. Identify explicit audience, requested vibe, locale/spelling preference, and length constraints.
  4. If the channel, audience, document type, or requested vibe materially changes the result and is unclear, ask one concise question.
  5. Load the profile if available and populated. Treat typed profile fields as stronger than prose notes.
  6. Apply the channel or document structure before applying voice.
  7. Draft or rewrite the text. Keep the user's intent and factual content intact.
  8. Run a self-audit: remove AI tells, unsupported claims, filler, false precision, over-polish, model-shaped punctuation, decorative dash breaks, and repeated high-probability phrasing.
  9. Return only the usable draft unless the user asked for analysis.

Read the full file on GitHub · 105 lines

Files

What ships with it

6 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. 12d ago First seen · 105 lines · 153 tokens per session scan A ccfe5fe84ed1

Subscribe to this mod's changes

write-in-my-voice is a skill published in the GitHub repository ymeiri/voice-layer (3 stars, last pushed 3mo ago), licensed MIT. It adds 153 tokens to every session and 1,393 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 2026-08-31.