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.
git clone --depth 1 https://github.com/TribeAI/claude-cowork-brand-voice-pluginWrote 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/commands/tribeai/claude-cowork-brand-voice-plugin/generate-guidelines)<a href="https://agentmods.dev/commands/tribeai/claude-cowork-brand-voice-plugin/generate-guidelines"><img src="https://agentmods.dev/badge/commands/tribeai/claude-cowork-brand-voice-plugin/generate-guidelines/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/commands/tribeai/claude-cowork-brand-voice-plugin/generate-guidelines"><img src="https://agentmods.dev/badge/commands/tribeai/claude-cowork-brand-voice-plugin/generate-guidelines.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 | $0.00015 | $0.00506 |
| Opus 5 | $0.00008 | $0.00253 |
| Sonnet 5 | $0.00003 | $0.00101 |
| Haiku 4.5 | $0.00002 | $0.00051 |
Grade A, and why
generate-guidelines 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 11d 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.
This is a copy
100% identical to generate-guidelines — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
MANDATORY FIRST STEP — do this before anything else, including reading sources or processing arguments. Check whether the user has a working folder selected for this session. You must verify this before starting any guideline generation work. If there is no working folder, stop and warn the user: "You don't have a working folder selected. Without one, I can't save guidelines to a file — they'll only exist in this conversation and won't persist to future sessions. Please select a working folder and re-run this command. If you'd like to proceed anyway, let me know." Wait for the user to confirm before continuing.
Generate comprehensive, LLM-ready brand voice guidelines from whatever sources the user provides — brand documents, conversation transcripts, a discovery report from /brand-voice:discover-brand, or direct input.
Process the sources specified in $ARGUMENTS. If none specified, check:
- Whether a discovery report was generated in this session
.claude/brand-voice.local.mdfor known brand material locations- Connected platforms (Notion, Confluence, Google Drive, Box, SharePoint, Gong) for existing materials
- If nothing is available, suggest running
/brand-voice:discover-brandfirst
Follow the guideline-generation skill instructions to:
- Identify and classify all available sources (discovery report, documents, transcripts)
- Delegate to document-analysis and conversation-analysis agents as needed
- Synthesize findings into unified guidelines with "We Are / We Are Not" table and tone-by-context matrix
- Assign confidence scores per section
- Surface open questions with agent recommendations for any ambiguity
- Present key findings and offer next steps
- Save guidelines to
.claude/brand-voice-guidelines.mdinside the user's working folder (archiving any existing file first). Do NOT use a relative path from the agent's current working directory — in Cowork, the agent runs from a plugin cache directory, not the user's project.
After generation, guidelines are saved locally so /brand-voice:enforce-voice can automatically find them in future sessions.
Supported document formats: PDF, PowerPoint, Word, Markdown, plain text. Supported transcript sources: Gong (MCP), Granola (MCP), Notion meeting notes, manual uploads.
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.
- 11d ago First seen · 29 lines · 15 tokens per session scan A 86bd7b41be99
generate-guidelines is a command published in the GitHub repository TribeAI/claude-cowork-brand-voice-plugin (35 stars, last pushed 3mo ago), licensed MIT. It adds 15 tokens to every session and 506 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to generate-guidelines, differing in 0 lines, and is treated as a copy.
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