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 davekilleen/Dex --skill anthropic-brand-guidelinesgit clone --depth 1 https://github.com/davekilleen/DexWrote 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/davekilleen/dex/anthropic-brand-guidelines)<a href="https://agentmods.dev/skills/davekilleen/dex/anthropic-brand-guidelines"><img src="https://agentmods.dev/badge/skills/davekilleen/dex/anthropic-brand-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/skills/davekilleen/dex/anthropic-brand-guidelines"><img src="https://agentmods.dev/badge/skills/davekilleen/dex/anthropic-brand-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 | $0.00052 | $0.00555 |
| Opus 5.5 | $0.00021 | $0.00222 |
| Sonnet 5.5 | $0.00010 | $0.00111 |
| Haiku 4.5 | $0.00005 | $0.00056 |
Grade A, and why
anthropic-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 2mo 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
89% identical to brand-guidelines — 4 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.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anthropic Brand Styling
Overview
To access Anthropic's official brand identity and style resources, use this skill.
Keywords: branding, corporate identity, visual identity, post-processing, styling, brand colors, typography, Anthropic brand, visual formatting, visual design
Brand Guidelines
Colors
Main Colors:
- Dark:
#141413- Primary text and dark backgrounds - Light:
#faf9f5- Light backgrounds and text on dark - Mid Gray:
#b0aea5- Secondary elements - Light Gray:
#e8e6dc- Subtle backgrounds
Accent Colors:
- Orange:
#d97757- Primary accent - Blue:
#6a9bcc- Secondary accent - Green:
#788c5d- Tertiary accent
Typography
- Headings: Poppins (with Arial fallback)
- Body Text: Lora (with Georgia fallback)
- Note: Fonts should be pre-installed in your environment for best results
Features
Smart Font Application
- Applies Poppins font to headings (24pt and larger)
- Applies Lora font to body text
- Automatically falls back to Arial/Georgia if custom fonts unavailable
- Preserves readability across all systems
Text Styling
- Headings (24pt+): Poppins font
- Body text: Lora font
- Smart color selection based on background
- Preserves text hierarchy and formatting
Shape and Accent Colors
- Non-text shapes use accent colors
- Cycles through orange, blue, and green accents
- Maintains visual interest while staying on-brand
Technical Details
Font Management
- Uses system-installed Poppins and Lora fonts when available
- Provides automatic fallback to Arial (headings) and Georgia (body)
- No font installation required - works with existing system fonts
- For best results, pre-install Poppins and Lora fonts in your environment
Color Application
- Uses RGB color values for precise brand matching
- Applied via python-pptx's RGBColor class
- Maintains color fidelity across different systems
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.
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.
- 2mo ago First seen · 76 lines · 52 tokens per session scan A 2e149e461ad4
anthropic-brand-guidelines is a skill published in the GitHub repository davekilleen/Dex (512 stars, last pushed 8d ago), licensed MIT. It adds 52 tokens to every session and 555 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to brand-guidelines, differing in 4 lines, and is treated as a copy.
anthropic-brand-guidelines compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| anthropic-brand-guidelinesdavekilleen/Dex | Skill | 512 | 8d ago | MIT | A | 52 | Claude Code, Codex |
| brand-landingpagewshobson/agents | Skill | 42k | yesterday | MIT | A | 112 | Claude Code |
| wcag-audit-patternswshobson/agents | Skill | 42k | yesterday | MIT | A | 45 | Claude Code |
| mermaid-diagramshiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 55 | Claude Code, Codex |
| visualizevellum-ai/vellum-assistant | Skill | 1.5k | 2d ago | MIT | A | 57 | Claude Code, Codex |
| vellum-workspace-themevellum-ai/vellum-assistant | Skill | 1.5k | 2d ago | MIT | A | 72 | Claude Code, Codex |
| vellum-avatarvellum-ai/vellum-assistant | Skill | 1.5k | 2d ago | MIT | A | 24 | Claude Code, Codex |