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 agentmods add skills/ckokoski/authoragent/deep-voice-analysisnpx skills add Ckokoski/AuthorAgent --skill deep-voice-analysisgit clone --depth 1 https://github.com/Ckokoski/AuthorAgentWrote 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/ckokoski/authoragent/deep-voice-analysis)<a href="https://agentmods.dev/skills/ckokoski/authoragent/deep-voice-analysis"><img src="https://agentmods.dev/badge/skills/ckokoski/authoragent/deep-voice-analysis.svg" alt="Measured on agentmods" 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 | $0.00026 | $0.01391 |
| Opus 5 | $0.00013 | $0.00696 |
| Sonnet 5 | $0.00005 | $0.00278 |
| Haiku 4.5 | $0.00003 | $0.00139 |
Grade A, and why
deep-voice-analysis 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 6d 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deep Voice Analysis — Premium Skill
Advanced writing voice analysis that goes far beyond the free style-clone skill. Analyzes your writing across 47 markers to create a forensic-level Voice Profile.
What Makes This Different From the Free Style-Clone Skill
The free style-clone skill does a basic voice analysis (~10 markers). This premium skill runs a 47-marker deep analysis that captures the invisible patterns that make YOUR writing yours — the kind of patterns that fool AI detectors because they encode genuine human writing habits.
The 47 Markers
Rhythm Markers (12)
- Average sentence length (words)
- Sentence length variance (burstiness)
- Short sentence frequency (1-5 words)
- Medium sentence frequency (6-15 words)
- Long sentence frequency (16-25 words)
- Very long sentence frequency (26+)
- Paragraph average length (sentences)
- Paragraph length variance
- Scene-opening sentence length pattern
- Chapter-opening sentence length pattern
- Dialogue line average length
- Action beat average length
Vocabulary Markers (10)
- Vocabulary richness (unique/total word ratio)
- Perplexity score (word unpredictability)
- Top 20 signature words (words you overuse — in a good way)
- Top 10 avoided words (words you never use)
- Formality level (casual ↔ academic)
- Jargon/domain-specific vocabulary
- Curse word frequency and type
- Sensory word distribution (sight/sound/touch/smell/taste)
- Emotional vocabulary range
- Abstract vs. concrete word ratio
Structural Markers (8)
- Narrative distance (close/medium/distant POV)
- Scene-to-sequel ratio
- Dialogue-to-narrative ratio
- Description density per scene
- Flashback/memory frequency
- Transition style (hard cuts vs. smooth)
- Chapter hook style (question, action, dialogue, mystery)
- White space usage (single-line paragraphs as emphasis)
Dialogue Markers (7)
- Tag preference (said/asked vs. creative tags)
- Action beat vs. tag ratio
- Average dialogue line length
- Subtext level (direct ↔ heavily implied)
- Interruption frequency
- Character voice differentiation score
- Monologue vs. rapid exchange ratio
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.
- 6d ago First seen · 157 lines · 26 tokens per session scan A b3229bfd6074
deep-voice-analysis is a skill published in the GitHub repository Ckokoski/AuthorAgent (103 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 1,391 once invoked, about $0.0001 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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