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 raulpetruta/voice-calibration-plugin --skill voice-calibrationgit clone --depth 1 https://github.com/raulpetruta/voice-calibration-pluginWrote 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/raulpetruta/voice-calibration-plugin/voice-calibration)<a href="https://agentmods.dev/skills/raulpetruta/voice-calibration-plugin/voice-calibration"><img src="https://agentmods.dev/badge/skills/raulpetruta/voice-calibration-plugin/voice-calibration/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/raulpetruta/voice-calibration-plugin/voice-calibration"><img src="https://agentmods.dev/badge/skills/raulpetruta/voice-calibration-plugin/voice-calibration.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 | $0.00094 | $0.01298 |
| Opus 5.5 | $0.00038 | $0.00519 |
| Sonnet 5.5 | $0.00019 | $0.00260 |
| Haiku 4.5 | $0.00009 | $0.00130 |
Grade A, and why
voice-calibration 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 28d 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Voice Calibration
Learn to write and talk like a specific person by collecting writing samples through interactive prompts, analyzing stylistic patterns, and generating a reusable voice profile.
Two Modes
1. Calibration Mode
Run when the user wants to create or update their voice profile. Guide them through writing prompts, analyze the results, and generate a profile.
2. Application Mode
When a voice profile exists, read it and apply the style to your writing when the user asks you to write in their voice. Check the project root first (.voice-profile.md), then ~/.agents/voice-profile.md, then the legacy path ~/.claude/voice-profile.md.
Calibration Workflow
Follow these five phases in order. Present one prompt at a time and wait for the user's response before continuing.
Phase 1: Introduction
Explain the process briefly:
I'll give you a series of short writing prompts — tiny stories, opinions, casual messages, descriptions. Write naturally, exactly how you'd normally express yourself. There are no wrong answers.
How many prompts would you like? I recommend 8-10 for a solid profile, but we can do as few as 6 or as many as 12.
Also ask:
- What name should the profile use?
- Any languages or registers to capture? (e.g., "I code-switch between English and Spanish")
Phase 2: Writing Prompts
Read references/PROMPTS.md for the full prompt bank.
Selection rules:
- Pick prompts from at least 4 different categories to capture range
- Always include at least one from Casual Conversation and one from Opinions & Arguments — these reveal the most personality
- Present prompts one at a time
- After the user responds, acknowledge briefly and move to the next prompt — do not analyze or comment on their style mid-flow
- If a user's response is very short (under 20 words), gently ask them to expand: "Could you add a bit more? Even a few extra sentences help me pick up on your patterns."
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.
- 28d ago Changed · +5 lines 95464a8b5328
- 1mo ago First seen · 113 lines · 94 tokens per session scan A e45d7c8ca741
voice-calibration is a skill published in the GitHub repository raulpetruta/voice-calibration-plugin (13 stars, last pushed 28d ago), licensed MIT. It adds 94 tokens to every session and 1,298 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.
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