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 bam-bam-2/solo-skills --skill voice-dna-creatorgit clone --depth 1 https://github.com/bam-bam-2/solo-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/bam-bam-2/solo-skills/voice-dna-creator)<a href="https://agentmods.dev/skills/bam-bam-2/solo-skills/voice-dna-creator"><img src="https://agentmods.dev/badge/skills/bam-bam-2/solo-skills/voice-dna-creator/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/bam-bam-2/solo-skills/voice-dna-creator"><img src="https://agentmods.dev/badge/skills/bam-bam-2/solo-skills/voice-dna-creator.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 System Prompt Leakage · line 132 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00000 | $0.01025 |
| Opus 5 | $0.00000 | $0.00513 |
| Sonnet 5 | $0.00000 | $0.00205 |
| Haiku 4.5 | $0.00000 | $0.00103 |
Grade B, and why
voice-dna-creator scanned grade B with 1 finding 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 13d 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
## Output Instructions How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Voice DNA Creator
Analyze writing samples to extract and codify a unique voice profile that AI can use to replicate your authentic writing style.
When to Use This Skill
- Setting up a new writing system
- Creating voice profiles for clients (ghostwriting)
- Updating voice profiles after style evolution
- Onboarding into content creation workflow
Requirements
The user must provide:
- Minimum: 3 writing samples (500+ words each)
- Ideal: 5-10 samples across different content types
- Best: Mix of casual (social posts) and formal (articles) content
Analysis Process
Step 1: Collect Samples
Ask: "Please share 3-10 writing samples that represent your authentic voice. These can be:
- Newsletter issues
- Blog posts
- Social media posts
- Emails you've written
- Any content where you feel 'this sounds like me'
Paste them here or point me to files."
Step 2: Analyze Core Elements
For each sample, analyze:
Personality Markers
- What personality traits come through?
- What's the energy level?
- How does the writer relate to the reader?
Emotional Range
- What emotions are expressed?
- How intense are they?
- What's the dominant emotional tone?
Communication Style
- Formality level (casual to professional)
- Sentence length patterns
- Paragraph structure
- Use of questions, commands, statements
Language Patterns
- Signature phrases that repeat
- Power words used frequently
- Transition phrases
- Opening and closing patterns
What They Avoid
- Words or phrases never used
- Tones never taken
- Approaches avoided
Formatting Habits
- Emoji usage
- List usage
- Header styles
- Bold/italic patterns
Step 3: Synthesize Findings
Combine analysis across all samples to identify:
- Consistent patterns (appear in most samples)
- Contextual variations (change based on content type)
- Core voice elements (never change)
Step 4: Generate Voice DNA
Create the profile following this structure:
{
"voice_dna": {
"version": "1.0",
"last_updated": "YYYY-MM-DD",
"core_essence": {
"identity": "",
"primary_role": "",
"unique_angle": ""
},
"personality_traits": {
"primary": [],
"how_it_shows": {}
},
"emotional_palette": {
"dominant_emotions": [],
"emotional_range": {},
"energy_level": ""
},
"communication_style": {
"formality": "",
"complexity": "",
"sentence_structure": {},
"paragraph_style": ""
},
"language_patterns": {
"signature_phrases": [],
"power_words": [],
"words_to_avoid": [],
"transitions": []
},
"never_say": {
"phrases": [],
"tones": [],
"approaches": []
},
"formatting_preferences": {},
"content_philosophy": {},
"voice_examples": {
"opening_lines": [],
"closing_lines": [],
"transitional_phrases": []
}
}
}
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.
- 13d ago First seen · 161 lines · 0 tokens per session scan B 92025c9ca783
voice-dna-creator is a skill published in the GitHub repository bam-bam-2/solo-skills (363 stars, last pushed 9d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,025 tokens. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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