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.
npx skills add matteotitta/genesys-skills --skill voice-reviewergit clone --depth 1 https://github.com/matteotitta/genesys-skillsWrote 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.
[](https://agentmods.dev/skills/matteotitta/genesys-skills/voice-reviewer)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/voice-reviewer"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/voice-reviewer/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.
<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/voice-reviewer"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/voice-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00124 | $0.01298 |
| Opus 5 | $0.00062 | $0.00649 |
| Sonnet 5 | $0.00025 | $0.00260 |
| Haiku 4.5 | $0.00012 | $0.00130 |
Grade A, and why
voice-reviewer 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.
How it starts
The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Voice Reviewer
Review any content output for voice quality, brand compliance, and authenticity. Checks 8 dimensions against both the global CLAUDE.md rules and client-specific voice guidelines (D8 is LinkedIn-specific and conditional). This is the standalone version of the quality checks the Stop hook runs automatically.
Use this when you want an explicit, detailed voice review — not just a pass/fail.
For the full 8-dimension rule set → the premium reference. For the 3-phase process + output format → the premium reference.
Claude Code Triggers
Invoke this skill when:
- "voice check this"
- "does this sound right?"
- "run voice review"
- "100 posts test"
- "check this for brand compliance"
- "review the voice on this [post/copy/email]"
Do NOT invoke when:
- User wants to review a SKILL.md definition → use
/skill-reviewerinstead - User wants to generate content → use the appropriate content skill
- User wants to edit existing content for a different reason (shortening, restructuring)
Input Requirements
Required
| Input | Description | Source |
|---|---|---|
| Content to review | Text output to check | User provides or last assistant message |
Optional (improve quality)
| Input | How it helps |
|---|---|
| Client name or project context | Activates client-specific voice rules from CLAUDE.md |
| Content type (LinkedIn, landing page, email, article) | Adjusts dimension weighting (D8 only fires for LinkedIn) |
| Author name | Checks if voice matches the attributed author |
If content is not a deliverable (code, plan, conversation), tell the user this skill is for content deliverables only.
The 8 dimensions (summary)
| # | Dimension | Trigger |
|---|---|---|
| 1 | Corporate buzzwords | Banned words from CLAUDE.md + client list |
| 2 | Sentence structure | Active voice, concrete claims, operator-first |
| 3 | Em dash usage | " — " with spaces, ≤ 2 per paragraph |
| 4 | Title/header case | Sentence case (not Title Case) |
| 5 | Client-specific voice rules | Conditional — only if client context loaded |
| 6 | 100 Posts Test | Authentic across a feed of 100 from this author? |
| 7 | Anti-AI-speak | Structural patterns (false contrast, wrapped bow, AI transitions) + 45-row pattern→replacement table per the premium reference |
| 8 | LinkedIn readability | LinkedIn-only — mobile breaks, one story per post, ecosystem CTAs |
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.
- 12d ago First seen · 144 lines · 124 tokens per session scan A 9e4b058001bc
voice-reviewer is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 124 tokens to every session and 1,298 once invoked, about $0.0006 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 2026-08-30.
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