Agent skill

Voice Review

by athola in athola/claude-night-market

Runs parallel prose and craft review agents against a voice profile.

MITAuto-check passedWriting & Content

Install Voice Review

skills CLI
$ npx skills add athola/claude-night-market --skill voice-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install athola/claude-night-market voice-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/athola/claude-night-market.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/scribe/skills/voice-review .claude/skills/voice-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
voice-review
GitHub stars
341
Token cost
~1.3k tokens
SKILL.md length
512 words
Files
1
Skills in repo
152
Repo updated
First seen
Licence
MIT

At a glance

Runs parallel prose and craft review agents against a voice profile.

  • Works in 6 steps: Load Context → Dispatch Review Agents → Process Results → …
  • Checking generated content for AI patterns and voice drift before publishing
  • SKILL.md covers When NOT To Use, Method: Parallel Dual-Gate…, Required TodoWrite Items and Step 1: Load Context, plus 11 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Voice Review is an agent skill from athola/claude-night-market. Runs parallel prose and craft review agents against a voice profile. Use when checking generated content for AI patterns and voice drift before publishing.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Writing & Content, covering Brand voice and tone. The repository describes itself as: 23 Claude Code plugins: TDD enforcement hooks, git/PR workflows, spec-driven development, code review, project lifecycle, fix-from-error, maintenance automation, context… The licence is MIT.

When your agent uses it

  • Checking generated content for AI patterns and voice drift before publishing
  • Tasks that involve Brand voice and tone

Example prompts

  • “/voice-review”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Load Context
  2. Dispatch Review Agents
  3. Process Results
  4. User Decision
  5. Apply Decisions
  6. Snapshot (if learning active)

What it can do on your machine

Read from SKILL.md and the folder at commit 9f3eb00. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Voice Review loads about 1.3k tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 512 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~42
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from athola/claude-night-market at commit 9f3eb00, republished under its MIT licence (© athola). 512 words, ~1,293 tokens.

Download SKILL.mdSave it as .claude/skills/voice-review/SKILL.md (or your agent's skills folder).
name
voice-review
description
Runs parallel prose and craft review agents against a voice profile. Use when checking generated content for AI patterns and voice drift before publishing.
globs
**/*.{md,txt}
alwaysApply
false
category
writing-quality
tags
voice, review, prose, craft, quality
complexity
medium
model_hint
standard
estimated_tokens
1600
progressive_loading
false
dependencies
scribe:voice-extract, scribe:voice-generate, scribe:slop-detector, imbue:review-core, imbue:structured-output

Voice Review Skill

Dispatch dual review agents and present unified findings.

When NOT To Use

  • Producing the text (use scribe:voice-generate)
  • A generic AI-pattern scan with no voice profile (use scribe:slop-detector)

Method: Parallel Dual-Gate Review

Two agents run in parallel on the generated text:

  1. Prose reviewer: AI patterns, banned phrases, voice drift
  2. Craft reviewer: Naming, destinations, dwelling, devices, anchoring

Hard failures (banned phrases, em dashes) are auto-fixed. Everything else returns as advisory tables for user decision.

Required TodoWrite Items

  1. voice-review:text-loaded - Generated text read
  2. voice-review:register-loaded - Voice register loaded
  3. voice-review:agents-dispatched - Both reviewers launched
  4. voice-review:hard-fails-fixed - Auto-corrections applied
  5. voice-review:advisories-presented - Tables shown to user
  6. voice-review:findings-verified - Citations confirmed by verifier

Step 1: Load Context

Read:

  • The generated text (from file or clipboard)
  • The active voice register
  • The banned phrases list

Step 2: Dispatch Review Agents

Launch both agents in parallel:

Agent(prose-reviewer):
  - text: {generated_text}
  - register: {register_content}
  - banned_phrases: {banned_list}

Agent(craft-reviewer):
  - text: {generated_text}
  - register: {register_content}

Step 3: Process Results

Hard Failures

Apply all auto-fixes from prose reviewer silently:

  • Remove/replace banned phrases
  • Replace em dashes with appropriate punctuation
  • Rewrite negation-correction patterns

Report: "Fixed N hard failures (X banned phrases, Y em dashes, Z patterns)"

Advisory Tables

Present both tables to the user:

Prose Review Advisories:

#LineAnchorPatternCurrentProposed fix

Craft Review:

DimensionRatingNotesProposed improvement

Step 4: User Decision

For each advisory row, user can:

  • Accept (a): Apply the proposed fix
  • Reject (r): Keep the current text
  • Rewrite (w): Apply a custom fix

Present as:

[1] Prose: Frictionless transition at "Furthermore, the..."
    Proposed: Cut transition, start mid-thought
    [a]ccept / [r]eject / re[w]rite?

Step 5: Apply Decisions

  • Apply accepted fixes to the text
  • Skip rejected items
  • For rewrites, incorporate user's version
  • Save final text

Step 6: Snapshot (if learning active)

If the user has learning mode enabled:

  • Save "post-review" snapshot (text after hard-fail fixes, before user decisions on advisories)
  • Save "post-fixes" snapshot (text after user decisions)
  • Both go to ~/.claude/voice-profiles/{name}/learning/snapshots/
Show full SKILL.md (222 more words)Show less

Integration with voice-generate

When dispatched from voice-generate, the flow is:

  1. voice-generate produces text
  2. voice-generate calls voice-review
  3. voice-review dispatches agents, processes results
  4. User makes decisions on advisories
  5. If learning mode: snapshots saved for later comparison

Standalone Usage

Can also be run on any existing text:

/voice-review path/to/file.md --profile myvoice --register casual

Verify Findings Are Grounded (voice-review:findings-verified)

Write advisory rows to .review/findings.json, run the citation verifier (Skill(imbue:review-core) Step 5), and drop or label UNVERIFIED any the verifier rejects.

Verification

After the review completes, validate these conditions:

  • Both review agents returned results (no timeouts)
  • Hard failures auto-fixed and diff shown to user
  • Advisory tables presented with accept/reject/rewrite options
  • User decisions applied to the final text
  • Final text saved to disk
  • Snapshots saved (if learning mode active)

Exit Criteria

  • Both review agents returned results without timeout
  • Hard failures auto-fixed and diff shown to user
  • Advisory tables presented with accept/reject/rewrite options
  • User decisions applied to the final text
  • Final text saved to disk
  • Every advisory row carries a Line (file:line) and verbatim Anchor; citation_verifier.py confirmed all citations (exit 0) or unverified rows are dropped/labeled UNVERIFIED

Test Spec

The test suite (test_voice_review.py) validates:

  • Skill file exists and references parallel dispatch
  • Hard failure vs advisory separation is documented
  • Prose reviewer agent exists with hard-failure patterns
  • Craft reviewer agent exists with five-dimension ratings
  • Both agents produce tabular output for downstream merging

© athola, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/scribe/skills/voice-review of athola/claude-night-market.

Open the folder on GitHubat commit 9f3eb00

Compare with similar skills

Voice Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Voice Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Voice Review this skillathola/claude-night-market341—~1.3kAutomated safety check: PassMIT
Good Docs AuditComposioHQ/composio30k—~293Automated safety check: PassMIT
Agent Styleyzhao062/agent-style709—~1.2kAutomated safety check: PassNone
Feature Blogpockethost/pockethost1.4k—~818Automated safety check: PassMIT
Adk Style GuideBrainDAO/adk-ts119—~1.8kAutomated safety check: PassMIT
Writewaynesutton/markdown-site627—~3kAutomated safety check: PassMIT

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Questions about Voice Review

What does Voice Review do?

Runs parallel prose and craft review agents against a voice profile. Voice Review is an agent skill from athola/claude-night-market. Runs parallel prose and craft review agents against a voice profile.

When should I use Voice Review?

Voice Review fits situations like: checking generated content for AI patterns and voice drift before publishing; tasks that involve Brand voice and tone.

How do I install Voice Review in Claude Code?

Run `npx skills add athola/claude-night-market --skill voice-review -a claude-code`. Or copy the skill folder (plugins/scribe/skills/voice-review in athola/claude-night-market) into .claude/skills/voice-review in your project. Claude Code loads it when a task matches its description.

How do I install Voice Review in Codex?

Run `npx skills add athola/claude-night-market --skill voice-review -a codex`. Or copy the skill folder (plugins/scribe/skills/voice-review in athola/claude-night-market) into .agents/skills/voice-review in your project. Codex loads it when a task matches its description.

Can I use Voice Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add athola/claude-night-market --skill voice-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/voice-review, .gemini/skills/voice-review, .github/skills/voice-review and .opencode/skills/voice-review in your project.

What does Voice Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Voice Review is instructions for the agent only.

Does Voice Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Voice Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Voice Review use?

Voice Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Voice Review use?

About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Voice Review?

Skills that share tags, products or a category with Voice Review: Good Docs Audit (ComposioHQ/composio, 30k stars), Agent Style (yzhao062/agent-style, 709 stars), Feature Blog (pockethost/pockethost, 1.4k stars) and Adk Style Guide (BrainDAO/adk-ts, 119 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Voice Review?

athola (a GitHub user) maintains it in athola/claude-night-market, which has 341 GitHub stars. The repository holds 152 skills in this directory. The repository was last updated on October 9, 2026.

Source: athola/claude-night-market on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.