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 d-o-hub/github-template-ai-agents --skill voice-profilesgit clone --depth 1 https://github.com/d-o-hub/github-template-ai-agentsWrote 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/d-o-hub/github-template-ai-agents/voice-profiles)<a href="https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/voice-profiles"><img src="https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/voice-profiles.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 | $0.00023 | $0.00686 |
| Opus 5 | $0.00012 | $0.00343 |
| Sonnet 5 | $0.00005 | $0.00137 |
| Haiku 4.5 | $0.00002 | $0.00069 |
Grade A, and why
voice-profiles 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 7d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Voice & Context Profiles
This skill enables agents to adapt their writing tone and style based on the target audience and content type. By applying these profiles, agents avoid generic "AI-sounding" output and produce content tailored to the specific medium and persona.
When to Use
- When generating any text content (READMEs, blogs, emails, docs, social posts).
- When asked to adopt a specific "voice" or "tone".
- When the target platform (e.g., LinkedIn, Technical Blog) is known or detected.
Voice Profiles
Independent of audience context; sets the persona.
casual: Use contractions, short sentences (≤14 words), low jargon, and warm hedges.professional: Use active voice, concrete claims, and low hedging. (Default)technical: Use plain copulatives (is/has), one idea per sentence, and imperative mood.warm: Use direct address ("you"), strong verbs, and medium cadence (15-20 words).blunt: Use short declaratives, no padding, and no hedges.
Context Profiles
Adjusts rule strictness for specific audiences.
linkedin: Relaxed on em dashes, bold, emojis, numbered lists, and transitions.blog: All rules full strength. (Default)technical-blog: Technical terms are exempt; strict prose rules apply.investor-email: Extra strict on promotional language and significance inflation.docs: Relaxed on hedging and copula avoidance.casual: P0 credibility killers only.
Instructions
- Auto-Detect Context: If not explicitly specified, detect context from content cues:
technical-blog: Presence of code blocks or deep technical implementation details.docs: README structure, API references, or technical documentation formats.linkedin: Short length, presence of hashtags, or social-first formatting.blog: Default if no other cues are present.
- Apply Profiles: Combine the selected Voice and Context profiles.
- Default: If no instructions are provided, use
professionalvoice andblogcontext.
What ships with it
1 file 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.
- 7d ago First seen · 66 lines · 23 tokens per session scan A 516c797ca78f
voice-profiles is a skill published in the GitHub repository d-o-hub/github-template-ai-agents (2 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 686 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 2026-08-31.
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