Knowledge Work Plugins is an open-source collection of Claude extensions organized around roles such as productivity, sales, and customer support. Each plugin combines role-specific guidance, connectors, commands, and sub-agents so knowledge workers can use Claude with their team’s tools and processes. The catalogue entries are examples of, or workflows from, this plugin collection.
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.
/plugin marketplace add anthropics/knowledge-work-pluginsnpx agentmods add plugins/anthropics/knowledge-work-plugins/brand-voicegit clone --depth 1 https://github.com/anthropics/knowledge-work-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/plugins/anthropics/knowledge-work-plugins/brand-voice)<a href="https://agentmods.dev/plugins/anthropics/knowledge-work-plugins/brand-voice"><img src="https://agentmods.dev/badge/plugins/anthropics/knowledge-work-plugins/brand-voice.svg" alt="Measured on agentmods" height="20"></a>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 yesterday.
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.
What it actually says
{
"name": "brand-voice",
"version": "1.1.0",
"description": "Brand Voice transforms scattered brand materials into enforceable AI guardrails — automatically. It searches across Notion, Google Drive, Confluence, Gong, Slack, and meeting transcripts to distill your strongest brand signals into a single source of truth, then applies them to every piece of AI-generated content. The more your team creates with Claude, the more consistent your brand becomes.",
"author": {
"name": "Tribe AI"
},
"keywords": ["brand-voice", "sales", "marketing", "content-creation", "guidelines", "discovery", "enterprise"]
}
What it installs
The manifest is a name and a version. 3 skills, 3 commands, 5 agents travel with it, and installing the plugin installs all of them — 1,509 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill brand-voice-enforcement A 156 tokens
- Skill discover-brand A 115 tokens
- Skill guideline-generation A 117 tokens
- Command discover-brand A 11 tokens
- Command enforce-voice A 6 tokens
- Command generate-guidelines A 15 tokens
- Agent content-generation A 226 tokens
- Agent conversation-analysis A 183 tokens
- Agent discover-brand A 292 tokens
- Agent document-analysis A 185 tokens
- Agent quality-assurance A 203 tokens
What ships with it
1 file beside plugin.json 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.
- yesterday First seen · 10 lines scan A 649aa00bf9d5
brand-voice is a plugin published in the GitHub repository anthropics/knowledge-work-plugins (23,849 stars, last pushed yesterday), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-09-03.
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