brand-guidelines

brand-guidelines is a skill for Claude Code from alleneee/skill-agent. It costs 50 tokens per session (518 once invoked), scanned A, original, no licence file.

A set of Anthropic’s official colors and typography rules for giving documents, interfaces, and other visual work a consistent Anthropic style.

In plain words
What is it for?
Use it when creating visual documents, presentations, web pages, or other artifacts that should follow Anthropic’s brand guidelines.
Why use it?
It removes the need to look up and apply the company’s visual standards by hand. It helps avoid inconsistent colors, fonts, and formatting.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the example-skills plugin — 9 skills shipped together

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.

agentmods
npx agentmods add skills/alleneee/skill-agent/brand-guidelines
Any agent
npx skills add alleneee/skill-agent --skill brand-guidelines
Clone the repo
git clone --depth 1 https://github.com/alleneee/skill-agent

Made for: Claude Code.

Or install example-skills, the plugin that ships this one along with the rest of its 9 skills.

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 brand-guidelines

README.md
[![agentmods](https://agentmods.dev/badge/skills/alleneee/skill-agent/brand-guidelines.svg)](https://agentmods.dev/skills/alleneee/skill-agent/brand-guidelines)
Your own site
<a href="https://agentmods.dev/skills/alleneee/skill-agent/brand-guidelines"><img src="https://agentmods.dev/badge/skills/alleneee/skill-agent/brand-guidelines.svg" alt="Measured on agentmods" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 518 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found 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 $0.00050 $0.00518
Opus 5 $0.00025 $0.00259
Sonnet 5 $0.00010 $0.00104
Haiku 4.5 $0.00005 $0.00052

Measured 6d ago against content hash 1120b3769e29, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

brand-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 6d 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.

src/omni_agent/skills/brand-guidelines/SKILL.md · 74 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

1 file beside SKILL.md 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.

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. 6d ago First seen · 74 lines · 50 tokens per session scan A 1120b3769e29

Subscribe to this mod's changes

brand-guidelines is a skill published in the GitHub repository alleneee/skill-agent (26 stars, last pushed 5mo ago), with no licence file. It adds 50 tokens to every session and 518 once invoked, about $0.0003 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 2026-08-30.

Related

Other skills, from other repositories

harness-creator

Build, audit, and improve harnesses that make AI coding agents reliable: AGENTS.md/CLAUDE.md instruction files, feature/state tracking, verification gates, scope boundaries, session handoff, memory persistence, context budgets, tool-permission safety, and multi-agent coordination. Use this whenever a coding agent is…

walkinglabs/learn-harness-engineering · 142 tokens

openloomi-memory

OpenLoomi Memory is the long-lived context layer of OpenLoomi — a tiered, locally-stored knowledge graph that grows on its own from your Connectors, chats, and Screen Capture. Memory is what makes Chat grounded and what Loop reads before it produces a Decision. It is always on your machine (local-first), always…

melandlabs/openloomi · 74 tokens

continual-learn

Persist learning across turns by actively maintaining MENTALMODEL.md in the workspace. Use for iterative coding, debugging, benchmarking, or any feedback-driven task; read and update the file with actual filesystem writes before every response, never just hidden/internal memory.

melandlabs/openloomi · 55 tokens

browserwing-executor

Control browser automation through HTTP API. Supports page navigation, element interaction (click, type, select), data extraction, accessibility snapshot analysis, screenshot, JavaScript execution, and batch operations.

MemTensor/MemOS · 42 tokens

memory-poisoning-detection

Detect persistent instruction injection or long-term memory poisoning. Focus on writing/retaining hostile instructions for future tasks, not data leakage.

Tencent/AI-Infra-Guard · 33 tokens

dev-browser

Browser automation with persistent page state. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include "go to [url]", "click on", "fill out the form", "take a screenshot", "scrape", "automate", "test the website"…

MemTensor/MemOS · 84 tokens