claude-codex-settings is a collection of configurations and reusable extensions for Claude Code, OpenAI Codex, Cursor, and related coding tools. Developers use its skills, commands, hooks, agents, plugins, and MCP servers to shape coding-agent workflows and connect alternative model APIs. The catalogue entries are components of this collection that can be installed into supported coding tools.
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 fcakyon/claude-codex-settings --skill ultralytics-brandinggit clone --depth 1 https://github.com/fcakyon/claude-codex-settingsWrote 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/fcakyon/claude-codex-settings/ultralytics-branding)<a href="https://agentmods.dev/skills/fcakyon/claude-codex-settings/ultralytics-branding"><img src="https://agentmods.dev/badge/skills/fcakyon/claude-codex-settings/ultralytics-branding/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/fcakyon/claude-codex-settings/ultralytics-branding"><img src="https://agentmods.dev/badge/skills/fcakyon/claude-codex-settings/ultralytics-branding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00090 | $0.01318 |
| Opus 5 | $0.00045 | $0.00659 |
| Sonnet 5 | $0.00018 | $0.00264 |
| Haiku 4.5 | $0.00009 | $0.00132 |
Grade A, and why
ultralytics-branding 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.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ultralytics Branding
Apply these rules to every Ultralytics-branded deliverable. Source of truth: https://www.ultralytics.com/brand
Colors
Primary palette:
| Name | Hex | Use |
|---|---|---|
| Dark Blue | #111F68 |
Primary brand color, headings, dark logo, dark backgrounds |
| Bright Blue | #042AFF |
Accents, links, CTAs, highlights |
| Neon Yellow | #E1FF25 |
High-energy accent, callouts on dark |
| Neon Pink | #FF64DA |
Secondary accent, sparingly |
| Light Grey | #F3F3F3 |
Light backgrounds, cards |
| White | #FFFFFF |
Backgrounds, text on dark |
Secondary palette (supporting accents only, never dominant): Aqua Blue #00FFFF, Light Blue #ACF9FF, Neon Green #76FFD6, Grey #CCCCCC, Dark Grey #9E9E9E.
Rules:
- Default scheme: white or Light Grey background, Dark Blue text, Bright Blue accents. Dark scheme: Dark Blue background, white text, Neon Yellow or Aqua accents.
- Neon colors are accents, not fills for large areas or body text.
- Keep text and logos at a 3.5:1 contrast ratio minimum against their background.
Bounding box palette (detection or annotation visuals, one color per class, labels in Arial): Bright Blue #042AFF, Vivid Sky Blue #0BDBEB, Bleached Silk #F3F3F3, Robin Egg Blue #00DFB7, Pure Midnight #111F68, Candy Pink #FF6FDD, Sunburnt Cyclops #FF444F, Electric Lime #CCED00, Malachite #00F344, Electric Purple #BD00FF, Blue Bolt #00B4FF, Deep Magenta #DD00BA, Aqua #00FFFF, Yellow-Green #26C000, Medium Spring Green #01FFB3, Blue-Violet #7D24FF, Philippine Violet #7B0068, Electric Pink #FF1B6C, Smashed Pumpkin #FC6D2F, Spring Bud #A2FF0B.
Typography
- Official typeface: Archivo (Google Fonts, free). Fallback stack:
Archivo, Helvetica, Arial, sans-serif. In PPTX/DOCX where Archivo is unavailable, use Arial. - Headings: Archivo Bold, tight scale from 72px hero down, 116% line-height.
- Body: Archivo Regular at 24px (large), 18px (medium), 16px (regular), 14px (small).
- Never use serif or decorative fonts. Bounding box labels use Arial.
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 · 77 lines · 90 tokens per session scan A a54f37e48e3a
ultralytics-branding is a skill published in the GitHub repository fcakyon/claude-codex-settings (1,135 stars, last pushed today), licensed Apache-2.0. It adds 90 tokens to every session and 1,318 once invoked, about $0.0005 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.
Other skills, from other repositories
lov-maintain-partners
Maintain the Skill Publisher website's partners section AND align partner logo rows on event posters / hero strips: reuse lov-find-logo for brand logo discovery, normalize collected logos to a 240px-tall content canvas (retina-ready), rasterize SVGs via rsvg-convert before normalizing (so SVG viewBox padding gets…
lov-gen-logo
A logo and application-icon design workflow that creates distinct, versioned drafts and keeps brand marks separate from app icons. It also prepares selected assets for their intended uses, such as websites or device screens.
lov-professional-portrait
Turn a single-person photo into a polished professional portrait while preserving the person's identity. Use restrained skin retouching, exposure cleanup, optional hat removal and hairstyle reconstruction, background polish, and an explicit quality gate. Trigger when the user asks for a professional headshot, business…
lov-business-card
Generate a professional, editorial-style business card (2:1) as a high-resolution PNG and a self-contained interactive HTML. Collects the user's identity (name, roles, tagline, interests, locations, optional avatar), fills a parameterized design template with a chosen theme, and renders it via headless Chrome. Trigger…
lov-find-logo
A tool for collecting company or product logos from public web sources such as a website’s icon or social-preview image.
lov-png2svg
A raster-to-vector converter that traces a PNG into an editable SVG file, with optional removal of a white background.