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 cxcscmu/SkillLearnBench --skill anthropic-brand-designgit clone --depth 1 https://github.com/cxcscmu/SkillLearnBenchWrote 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/cxcscmu/skilllearnbench/anthropic-brand-design)<a href="https://agentmods.dev/skills/cxcscmu/skilllearnbench/anthropic-brand-design"><img src="https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/anthropic-brand-design/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/cxcscmu/skilllearnbench/anthropic-brand-design"><img src="https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/anthropic-brand-design.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 | $0.00023 | $0.00453 |
| Opus 5 | $0.00012 | $0.00227 |
| Sonnet 5 | $0.00005 | $0.00091 |
| Haiku 4.5 | $0.00002 | $0.00045 |
Grade A, and why
anthropic-brand-design 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 5d 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.
What it actually says
Overview
Anthropic's brand identity is defined by a clean, organic aesthetic with a focus on legibility and a sophisticated, "humanistic-technical" feel.
Color Palette
| Name | HEX | RGB | Description |
|---|---|---|---|
| Corporate Dark | #141413 | (20, 20, 19) | Primary text and dark backgrounds. |
| Identity Light | #FAF9F5 | (250, 249, 245) | Primary background color. |
| Muted Mid Gray | #B0AEA5 | (176, 174, 165) | For secondary text and structural lines. |
| Primary Accent | #D97757 | (217, 119, 87) | Use for highlights and primary CTA. |
| Secondary Accent | #6A9BCC | (106, 155, 204) | Secondary technical highlights. |
| Tertiary Accent | #788C5D | (120, 140, 93) | For specialized technical layers (e.g., PCBs). |
Typography
- Heading Font: Poppins (Geometric sans-serif) - Used for titles and large headings.
- Body Font: Lora (Serif) - Used for technical descriptions and body text.
- Secondary Body Font: Inter (Sans-serif) - Alternative for high-legibility needs.
Visual Principles
- Low Saturation: Avoid bright, neon colors or heavy gradients.
- Minimalism: Use whitespace generously; prioritize clarity over decorative elements.
- Structured Hierarchy: Use font weights and sizes clearly to distinguish titles, annotations, and labels.
- Thin Lines: Annotation leader lines should be subtle, typically in Muted Mid Gray.
Application Example
- Background: Identity Light (#FAF9F5)
- Title Text: Corporate Dark (#141413) in Poppins-Bold.
- Hardware Accents: Use Primary, Secondary, and Tertiary accents to distinguish internal components.
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.
- 5d ago First seen · 35 lines · 23 tokens per session scan A 606c926eaa96
anthropic-brand-design is a skill published in the GitHub repository cxcscmu/SkillLearnBench (83 stars, last pushed 2mo ago), licensed MIT. It adds 23 tokens to every session and 453 once invoked, about $0.0001 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 2026-09-03.
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