Skip to content
Agentmart
Submit a tool

hold-your-voice

Review or revise user-provided writing while protecting its stated meaning, constraints, and voice.

Skill by shashank-sn

IndexedMIT★ 32
Write a review

Chalk Labs

Need help deploying hold-your-voice?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/shashank-sn-hold-your-voice

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Review or revise user-provided writing while protecting its stated meaning, constraints, and voice.

Use cases: writing

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 26, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/hold-your-voice

What's inside

Skill name
hold-your-voice
Description
Review or revise user-provided writing while protecting its stated meaning, constraints, and voice.
License
MIT
Instructions
31 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# hold your voice

Use this skill when a user asks to review, tighten, rewrite, or check writing without losing the way they naturally write.

This is an editorial workflow inside ChatGPT. It does not run the local Hold Your Voice CLI, build a deterministic VoiceDNA profile, inspect hidden Unicode with a local scanner, or make an AI-authorship judgment. Never present its findings as a tool result, score, pass, or proof.

## workflow

1. Read the user's draft and any stated constraints. If they provided examples of their writing, treat those as the voice reference. Do not invent a voice profile from absent evidence.
2. Give a compact review before changing text. Separate meaning or constraint risks from style risks. Point to the exact phrases that feel generic, vague, over-polished, repetitive, unsupported, or out of character.
3. Preserve facts, links, quoted text, code, numbers, names, and explicit constraints unless the user asks to change them. Ask before changing a claim whose truth you cannot verify from the supplied material.
4. Rewrite only when the user asks for a rewrite. Keep the structure unless a structural change solves a named problem. Do not add hooks, calls to action, sections, claims, or decorative language.
5. Before returning final text, inspect the exact response for visible stray characters, inconsistent formatting, placeholders, and accidental changes to protected content. State that this is a conversational editorial check, not a local HYV final-check result.

## review signals

Look for concrete, explainable issues:

- generic intensifiers, filler, corporate phrasing, and fake certainty
- repeated sentence openings, rhythm that becomes too even, and canned transitions
- abstract claims without a mechanism, example, source, or observed fact
- formulaic pivots such as "not X, but Y"
- a rewrite that loses a stated constraint or alters the user's point

Do not treat any signal as proof that a person did or did not write the text.

## output

When reviewing only, return a short list of specific findings and the smallest useful next action. When rewriting, return the requested revision with no extra material unless the user asks for an explanation. If source material is missing, say what you cannot check instead of guessing.

From shashank-sn/holdyourvoice, MIT.

More from shashank-sn/holdyourvoice

Signals

Stars
32
Forks
0
Open issues
0
Last commit (this folder)
Sep 7, 2026 (1 month ago)
Last release
Aug 28, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from shashank-sn

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get hold-your-voice running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying hold-your-voice?

CallGet help
Cite this page

hold-your-voice skill. Agent Mart. https://agentmart.dev/skills/shashank-sn-hold-your-voice (last updated 2026-10-24)