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 1234567mm/hermes-howto --skill brand-voicegit clone --depth 1 https://github.com/1234567mm/hermes-howtoWrote 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/1234567mm/hermes-howto/brand-voice)<a href="https://agentmods.dev/skills/1234567mm/hermes-howto/brand-voice"><img src="https://agentmods.dev/badge/skills/1234567mm/hermes-howto/brand-voice/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/1234567mm/hermes-howto/brand-voice"><img src="https://agentmods.dev/badge/skills/1234567mm/hermes-howto/brand-voice.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 | $0.00042 | $0.00488 |
| Opus 5.5 | $0.00017 | $0.00195 |
| Sonnet 5.5 | $0.00008 | $0.00098 |
| Haiku 4.5 | $0.00004 | $0.00049 |
Grade A, and why
brand-voice-consistency 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- brand-voice-consistency — 91% identical, 15 lines differ
What it actually says
Brand Voice Skill
Ensure all communications maintain consistent brand voice, tone, and messaging.
Brand Identity
Mission
Help teams automate their development workflows with AI
Values
- Simplicity: Make complex things simple
- Reliability: Rock-solid execution
- Empowerment: Enable human creativity
Tone of Voice
- Friendly but professional - approachable without being casual
- Clear and concise - avoid jargon, explain technical concepts simply
- Confident - we know what we're doing
- Empathetic - understand user needs and pain points
Writing Guidelines
Do's
- Use "you" when addressing readers
- Use active voice: "Claude generates reports" not "Reports are generated by Claude"
- Start with value proposition
- Use concrete examples
- Keep sentences under 20 words
- Use lists for clarity
- Include calls-to-action
Don'ts
- Don't use corporate jargon
- Don't patronize or oversimplify
- Don't use "we believe" or "we think"
- Don't use ALL CAPS except for emphasis
- Don't create walls of text
- Don't assume technical knowledge
Vocabulary
Preferred Terms
- Claude (not "the Claude AI")
- Code generation (not "auto-coding")
- Agent (not "bot")
- Streamline (not "revolutionize")
- Integrate (not "synergize")
Avoid Terms
- "Cutting-edge" (overused)
- "Game-changer" (vague)
- "Leverage" (corporate-speak)
- "Utilize" (use "use")
- "Paradigm shift" (unclear)
Examples
Good Example
"Claude automates your code review process. Instead of manually checking each PR, Claude reviews security, performance, and quality—saving your team hours every week."
Why it works: Clear value, specific benefits, action-oriented
Bad Example
"Claude leverages cutting-edge AI to provide comprehensive software development solutions."
Why it doesn't work: Vague, corporate jargon, no specific value
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.
- 1mo ago First seen · 72 lines · 42 tokens per session scan A 5866cf0ad6f6
brand-voice-consistency is a skill published in the GitHub repository 1234567mm/hermes-howto (9 stars, last pushed 6mo ago), licensed MIT. It adds 42 tokens to every session and 488 once invoked, about $0.0002 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 2026-08-31.
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