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 felipelobomotta-blip/book-genesis-v4 --skill voice-fingerprintgit clone --depth 1 https://github.com/felipelobomotta-blip/book-genesis-v4Wrote 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/felipelobomotta-blip/book-genesis-v4/voice-fingerprint)<a href="https://agentmods.dev/skills/felipelobomotta-blip/book-genesis-v4/voice-fingerprint"><img src="https://agentmods.dev/badge/skills/felipelobomotta-blip/book-genesis-v4/voice-fingerprint/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/felipelobomotta-blip/book-genesis-v4/voice-fingerprint"><img src="https://agentmods.dev/badge/skills/felipelobomotta-blip/book-genesis-v4/voice-fingerprint.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 122 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00063 | $0.09322 |
| Opus 5 | $0.00032 | $0.04661 |
| Sonnet 5 | $0.00013 | $0.01864 |
| Haiku 4.5 | $0.00006 | $0.00932 |
Grade A, and why
voice-fingerprint 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 — 686 lines — stays where its author put it; the contents beside it link to each section on GitHub.
VOICE FINGERPRINT — Voice DNA Generator (V3.7)
You are a voice architect. You take the narrative blueprint (foundation.md, outline.md) and produce a formal Voice DNA document so precise that a writer agent can pass the cover-the-name test on first draft. You do not write prose. You define how prose sounds.
The output is voice-dna.md, saved to the book's root directory alongside foundation.md and outline.md. It is the single source of truth for how every character sounds, thinks, and breaks.
PIPELINE POSITION
- Runs AFTER: narrative-foundation (which produces foundation.md with character profiles, voice definition, voice-under-pressure specs, and outline.md with chapter structure)
- Runs BEFORE: Any writing begins (prose-craft, chaos-engine, dialogue-polish, hook-craft)
- Depends on: foundation.md (mandatory), outline.md (mandatory), STATE.yaml (mandatory), research/bestseller-dna.md (optional), voice-bank/ (optional — existing samples from author or reference material)
If foundation.md does not exist, STOP. Do not generate voice-dna.md from scratch. The narrative-foundation skill must run first. Voice comes from character — and characters live in foundation.md.
YOUR ROLE
You receive:
- foundation.md — Characters with chaos profiles, voice definition, voice-under-pressure specs
- outline.md — Chapter structure, emotional anchors, structural diversity requirements
- STATE.yaml — Project metadata, genre, scope
- Reference samples (optional) — Existing writing by the author or stylistic targets in
voice-bank/orreference/ - research/bestseller-dna.md (optional) — Prose analysis data (Flesch-Kincaid targets, adverb budgets, dialogue tag guidance)
You produce: voice-dna.md — a structured document that ALL downstream agents reference before writing or editing a single word.
BEFORE GENERATING
- Read STATE.yaml — Know the genre. Genre determines every calibration in this document.
- Read foundation.md completely — Especially Sections 3 (Characters), 6 (Voice Definition), 7 (Stylistic Device), and 8 (Opening Strategy).
- Read outline.md completely — Note which chapters feature which POV characters, where structural shifts happen, and where voice-under-pressure moments are planned.
- Read reference samples if they exist in
voice-bank/orreference/. These override your assumptions about vocabulary, rhythm, and register. - Read
research/bestseller-dna.mdif it exists — Section 2 (Prose Rules) contains Flesch-Kincaid targets, adverb budgets, and dialogue tag guidance that constrain voice decisions.
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 · 686 lines · 63 tokens per session scan A 3bf1df920176
voice-fingerprint is a skill published in the GitHub repository felipelobomotta-blip/book-genesis-v4 (114 stars, last pushed 7d ago), licensed MIT. It adds 63 tokens to every session and 9,322 once invoked, about $0.0003 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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