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 anup-malani/claude-skills --skill voice-criticgit clone --depth 1 https://github.com/anup-malani/claude-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/anup-malani/claude-skills/voice-critic)<a href="https://agentmods.dev/skills/anup-malani/claude-skills/voice-critic"><img src="https://agentmods.dev/badge/skills/anup-malani/claude-skills/voice-critic/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/anup-malani/claude-skills/voice-critic"><img src="https://agentmods.dev/badge/skills/anup-malani/claude-skills/voice-critic.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 | $0.00112 | $0.01317 |
| Opus 5.5 | $0.00045 | $0.00527 |
| Sonnet 5.5 | $0.00022 | $0.00263 |
| Haiku 4.5 | $0.00011 | $0.00132 |
Grade A, and why
voice-critic 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.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Voice Critic — The Agent That Reads Your Past Edits
Most AI drafting pipelines run a drafter, a fact-checker, and a style-guide enforcer. All three are blind to the same thing: voice. A draft can pass all three and still read wrong, because "wrong" in that sense means "not how the author would have written it."
This skill runs a fourth agent whose entire job is to catch that gap. It reads a corpus of the author's own past edits and looks for places where the current draft would not survive the author's red pen.
When this skill fires
User says any of:
- "run voice-critic on "
- "voice check this"
- "does this sound like me"
- "check my voice"
- "voice-critic "
Argument
$ARGUMENTS is either:
- A path to a draft file (markdown, plain text, or similar), or
- Inline draft text passed directly in the message.
If neither is obvious, ask the user which draft to critique before proceeding.
Prerequisites
The user must have an edit corpus at one of:
- The path in
$VOICE_CRITIC_CORPUS_PATHif that environment variable is set ~/.claude/skills/voice-critic/corpus.md(default location)
If neither exists, stop and point the user to setup.md in this skill directory. It walks through building a minimum-viable corpus (5 pairs) in about 15 minutes. Do not proceed without a real corpus — the example-corpus.md file is for reference only and should not be used as a live corpus, because it teaches generic "good writing," not the user's specific voice.
Steps
1. Locate the draft
If the argument is a path, read the file. If inline text, use it directly. If both are supplied, prefer the inline text and note the redundancy.
2. Locate the edit corpus
Check in order:
$VOICE_CRITIC_CORPUS_PATHif set~/.claude/skills/voice-critic/corpus.md
If neither exists, stop. Tell the user to read setup.md in this skill directory and assemble a corpus first. Do not fall back to example-corpus.md silently — that file exists only as a format reference.
What ships with it
4 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.
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.
- 2mo ago First seen · 98 lines · 112 tokens per session scan A 7f5451a2910d
voice-critic is a skill published in the GitHub repository anup-malani/claude-skills (11 stars, last pushed 6mo ago), licensed MIT. It adds 112 tokens to every session and 1,317 once invoked, about $0.0004 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 2026-08-30.
voice-critic compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| voice-criticanup-malani/claude-skills | Skill | 11 | 6mo ago | MIT | A | 112 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |