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 Zandereins/schliff --skill 03-brand-guidelinesgit clone --depth 1 https://github.com/Zandereins/schliffWrote 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/zandereins/schliff/03-brand-guidelines)<a href="https://agentmods.dev/skills/zandereins/schliff/03-brand-guidelines"><img src="https://agentmods.dev/badge/skills/zandereins/schliff/03-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/zandereins/schliff/03-brand-guidelines"><img src="https://agentmods.dev/badge/skills/zandereins/schliff/03-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 | $0.00050 | $0.00518 |
| Opus 5.5 | $0.00020 | $0.00207 |
| Sonnet 5.5 | $0.00010 | $0.00104 |
| Haiku 4.5 | $0.00005 | $0.00052 |
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 1mo 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
100% identical to brand-guidelines — 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.
What it actually says
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 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.
- 1mo ago First seen · 74 lines · 50 tokens per session scan A 1120b3769e29
brand-guidelines is a skill published in the GitHub repository Zandereins/schliff (17 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session and 518 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to brand-guidelines, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
stitch-cli
Drives Google Stitch (stitch.withgoogle.com), the AI UI design tool, via the cli-web-stitch command-line tool — create design projects from text prompts, iterate on designs with AI (flash/pro/redesign models), manage projects (rename, duplicate, delete, download), and view or download generated screen HTML. Use when…
pagouse
Observe and (with a grant) drive Chromium tabs via the pagouse CLI: snapshot the accessibility tree, click/fill by ref, navigate. Not a seat adapter. Trigger keywords: pagouse, browser tab, fill form, click the button on the page, snapshot page, AX tree.
dd-code-generation
Use pup CLI for immediate Datadog operations or generate code for integration into applications.
app-screenshot-debug
Drive the running termio app via AppleScript / System Events to reach a UI state (focus the window, click a sidebar project, a terminal pane, a control), capture a pixel-accurate screenshot of just that window, and read it back for visual analysis — for diagnosing layout / spacing / alignment / 'this looks ugly'…
compare-screenshots
Compare screenshots against the intended design, distinguishing approved references from historical baselines. Use for iterative implementation matching, before/after visual review, objective image telemetry, or checking a lone capture for flat, empty, or badly framed content.
user-research-cookiy
End-to-end user research assistant — qualitative and quantitative. Use this skill whenever the user mentions user research, user interviews, discussion guides, interview guides, research plans, qualitative research, quantitative research, user surveys, survey design, usability studies, participant recruitment…