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 cdeistopened/skill-stack --skill voice-matching-wizardgit clone --depth 1 https://github.com/cdeistopened/skill-stackWrote 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/cdeistopened/skill-stack/voice-matching-wizard)<a href="https://agentmods.dev/skills/cdeistopened/skill-stack/voice-matching-wizard"><img src="https://agentmods.dev/badge/skills/cdeistopened/skill-stack/voice-matching-wizard/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/cdeistopened/skill-stack/voice-matching-wizard"><img src="https://agentmods.dev/badge/skills/cdeistopened/skill-stack/voice-matching-wizard.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 | $0.00039 | $0.02764 |
| Opus 5.5 | $0.00016 | $0.01106 |
| Sonnet 5.5 | $0.00008 | $0.00553 |
| Haiku 4.5 | $0.00004 | $0.00276 |
Grade A, and why
voice-matching-wizard 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 1mo 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 — 393 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Voice Matching Wizard
Create a voice skill that captures the patterns, rhythms, and sensibilities of any writing style.
What This Does
Voice matching is the art of identifying what makes writing recognizable. Not just the obvious markers—vocabulary, sentence length—but the deeper patterns: how ideas unfold, where the writer pauses, what they leave unsaid.
This wizard walks you through the process of:
- Gathering representative samples
- Extracting patterns across multiple dimensions
- Synthesizing a usable voice profile
- Generating a working skill file
The output is a voice-[name].skill.md you can use alongside other skills (like anti-ai-writing) for consistent, authentic content.
Before You Begin
What makes a good sample:
- At least 500 words
- Writing you're proud of (or writing you want to emulate)
- Representative of the voice you want to capture
- From the same medium (all newsletters, all blog posts, etc.)
What to avoid:
- Heavily edited committee writing
- Content written under constraints
- Mixed formats (tweets + longform together)
- Very old work that doesn't reflect current voice
How many samples:
- 2-3 samples: Basic patterns
- 4-5 samples: Good coverage
- 10+: Comprehensive capture
Three Paths Through This Wizard
Path A: "I have samples of my own writing"
You want to codify your existing voice so AI can match it consistently. → Skip to Phase 1: Gather Your Samples
Path B: "I want to write like [someone I admire]"
You want to emulate an author, publication, or brand voice. → If the writer is well-known (major author, publication), you may be able to use their name directly in prompts. For custom or lesser-known voices, you'll still need samples. → Proceed to Phase 1: Gather Your Samples
Path C: "I'm not sure what my voice is yet"
You want to discover and develop your voice through this process. → Start with Phase 0: Voice Discovery (below)
Phase 0: Voice Discovery (Optional)
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.
- 1mo ago First seen · 393 lines · 39 tokens per session scan A 9366dbdf3361
voice-matching-wizard is a skill published in the GitHub repository cdeistopened/skill-stack (30 stars, last pushed 3mo ago), licensed MIT. It adds 39 tokens to every session and 2,764 once invoked, about $0.0002 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.
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