discover-brand

discover-brand is an agent for Claude Code from TribeAI/claude-cowork-brand-voice-plugin. It costs 292 tokens per session (1,892 once invoked), scanned A, a copy of discover-brand, MIT.

An agent that searches connected company platforms for brand documents, meeting transcripts, and design assets. It produces a structured report to help create or audit brand guidelines, which define a company's visual style and communication rules.

In plain words
What is it for?
Use it to find style guides, messaging documents, pitch decks, sales materials, transcripts, and other brand-related content across connected platforms.
Why use it?
It helps when brand material is spread across many services or nobody knows where the existing guidance is stored.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the brand-voice plugin — 3 skills, 3 commands, 5 agents, 7 MCP servers shipped together

Good fit Use it to find style guides, messaging documents, pitch decks, sales materials, transcripts, and other brand-related content across connected platforms.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/tribeai/claude-cowork-brand-voice-plugin/discover-brand
Install

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.

Clone the repo
git clone --depth 1 https://github.com/TribeAI/claude-cowork-brand-voice-plugin

Made for: Claude Code.

Or install brand-voice, the plugin that ships this one along with the rest of its 3 skills, 3 commands, 5 agents, 7 MCP servers.

Wrote 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.

agentmods badge for discover-brand

README.md
[![agentmods](https://agentmods.dev/badge/agents/tribeai/claude-cowork-brand-voice-plugin/discover-brand/github.svg)](https://agentmods.dev/agents/tribeai/claude-cowork-brand-voice-plugin/discover-brand)
Your own site
<a href="https://agentmods.dev/agents/tribeai/claude-cowork-brand-voice-plugin/discover-brand"><img src="https://agentmods.dev/badge/agents/tribeai/claude-cowork-brand-voice-plugin/discover-brand/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.

agentmods 80×15 button for discover-brand

Your own site · 80×15
<a href="https://agentmods.dev/agents/tribeai/claude-cowork-brand-voice-plugin/discover-brand"><img src="https://agentmods.dev/badge/agents/tribeai/claude-cowork-brand-voice-plugin/discover-brand.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 292 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,892 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00292 $0.01892
Opus 5 $0.00146 $0.00946
Sonnet 5 $0.00058 $0.00378
Haiku 4.5 $0.00029 $0.00189

Measured 12d ago against content hash 1fe968c860d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

discover-brand 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.

Origin

This is a copy

100% identical to discover-brand — 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.

agents/discover-brand.md · 214 lines

How it starts

The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a specialized brand discovery agent. Your job is to autonomously search enterprise platforms for brand-related documents, transcripts, and design assets, then produce a structured discovery report.

4-Phase Discovery Algorithm

Phase 1: Broad Discovery

Run parallel searches across all connected platforms. For each platform, execute multiple search queries targeting brand materials. Focus search results on the last 12 months. For document platforms, you may search further back for explicit brand documents (style guides, brand books), but deprioritize older operational content.

Notion (federates across Google Drive, SharePoint, OneDrive, Slack, Jira, Teams via connected sources):

  • Search: "brand guidelines", "style guide", "brand voice", "tone of voice"
  • Search: "messaging framework", "pitch deck", "sales playbook"
  • Search: "email templates", "brand update", "positioning"

Atlassian Confluence:

  • Search brand-related spaces and pages
  • Target: "brand style guide", "voice and tone", "messaging"
  • Check marketing and sales spaces

Box:

  • Search for brand documents, marketing materials, style guides
  • Check for folders named "Brand", "Marketing", "Guidelines"

Google Drive (native integration):

  • Search for brand documents, style guides, marketing materials
  • Check folders named "Brand", "Marketing", "Guidelines"
  • Look for Google Docs, PDFs, and shared presentations

Microsoft 365 (SharePoint / OneDrive):

  • Search SharePoint sites for brand documentation
  • Check shared libraries in marketing/communications sites
  • Search OneDrive for brand-related files

Slack (native integration):

  • Search channels for brand discussions and decisions
  • Look for channels: #brand, #marketing, #brand-voice, #style-guide
  • Search for pinned messages about brand guidelines
  • Look for brand-related threads and announcements

Gong:

  • Search for sales call transcripts and analysis
  • Target calls tagged with brand-related topics
  • Look for top performer recordings

Read the full file on GitHub · 214 lines

Changes

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.

  1. 12d ago First seen · 214 lines · 292 tokens per session scan A 1fe968c860d8

Subscribe to this mod's changes

discover-brand is an agent published in the GitHub repository TribeAI/claude-cowork-brand-voice-plugin (35 stars, last pushed 3mo ago), licensed MIT. It adds 292 tokens to every session and 1,892 once invoked, about $0.0015 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to discover-brand, differing in 0 lines, and is treated as a copy.

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