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 taizen-ai/taizen-claude-plugins --skill brand-voicegit clone --depth 1 https://github.com/taizen-ai/taizen-claude-pluginsWrote 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/taizen-ai/taizen-claude-plugins/brand-voice)<a href="https://agentmods.dev/skills/taizen-ai/taizen-claude-plugins/brand-voice"><img src="https://agentmods.dev/badge/skills/taizen-ai/taizen-claude-plugins/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/taizen-ai/taizen-claude-plugins/brand-voice"><img src="https://agentmods.dev/badge/skills/taizen-ai/taizen-claude-plugins/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 | $0.00026 | $0.03011 |
| Opus 5 | $0.00013 | $0.01505 |
| Sonnet 5 | $0.00005 | $0.00602 |
| Haiku 4.5 | $0.00003 | $0.00301 |
Grade A, and why
brand-voice 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 — 449 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Voice Skill
Create and maintain consistent brand voice across all content.
Purpose
Ensure every piece of content sounds authentically like your brand, maintaining consistency across channels, authors, and content types.
Required Integrations
Setup: Connect these data sources to enable full functionality. Claude will prompt you to connect any missing integrations when you use this skill.
Data Sources
# BRAND VOICE DATA SOURCES
# Configure the sources relevant to your brand management needs
# Enterprise Search (searches across all internal sources)
- source: enterprise_search
connector: "{{GLEAN | MOVEWORKS | ELASTIC}}"
data:
- internal_docs
- wiki_content
- shared_drives
# Brand Guidelines & Assets
- source: brand_docs
connector: "{{GOOGLE_DRIVE | SHAREPOINT | NOTION | CONFLUENCE}}"
paths:
- "/Marketing/Brand Guidelines/"
- "/Marketing/Voice and Tone/"
- "/Marketing/Messaging Framework/"
- "/Marketing/Editorial Style Guide/"
- "/Marketing/Do's and Don'ts/"
# Content Library (for examples)
- source: content_library
connector: "{{GOOGLE_DRIVE | SHAREPOINT | NOTION}}"
paths:
- "/Marketing/Published Content/"
- "/Marketing/Email Templates/"
- "/Marketing/Web Copy/"
- "/Marketing/Social Media/"
# Content Performance
- source: analytics
connector: "{{GOOGLE_ANALYTICS | HUBSPOT | MAILCHIMP}}"
data:
- content_engagement
- email_performance
- page_engagement
# Customer Voice
- source: customer_research
connector: "{{GOOGLE_DRIVE | SHAREPOINT | NOTION}}"
paths:
- "/Research/Voice of Customer/"
- "/Research/Customer Language/"
Output Destinations
# Where to deliver brand voice outputs
outputs:
# Always available - display in Claude UI
- type: display
enabled: true
# Save to brand library
- type: documents
connector: "{{GOOGLE_DRIVE | SHAREPOINT | NOTION}}"
destination: "/Marketing/Brand Guidelines/"
# Notify for review
- type: slack
connector: "{{SLACK}}"
channel: "#brand-review"
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 · 449 lines · 26 tokens per session scan A 4034204ef8ab
brand-voice is a skill published in the GitHub repository taizen-ai/taizen-claude-plugins (8 stars, last pushed 3mo ago), licensed MIT. It adds 26 tokens to every session and 3,011 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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