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.
git clone --depth 1 https://github.com/GktuOktay/ai-skillsWrote 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/rules/gktuoktay/ai-skills/brandkit)<a href="https://agentmods.dev/rules/gktuoktay/ai-skills/brandkit"><img src="https://agentmods.dev/badge/rules/gktuoktay/ai-skills/brandkit/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/rules/gktuoktay/ai-skills/brandkit"><img src="https://agentmods.dev/badge/rules/gktuoktay/ai-skills/brandkit.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 | $0.00000 | $0.00876 |
| Opus 5 | $0.00000 | $0.00438 |
| Sonnet 5 | $0.00000 | $0.00175 |
| Haiku 4.5 | $0.00000 | $0.00088 |
Grade A, and why
brandkit 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 7d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brandkit Management Guidelines
This skill provides comprehensive instructions for applying brand identity assets to frontend components, ensuring consistency across all visual touchpoints.
1. Brand Consistency & Tone of Voice
Consistency builds trust. Every UI component and copy snippet should align with the core brand values.
- Tone: Professional, accessible, and forward-thinking.
- Application: Use consistent terminology. Do not mix playful and strictly formal tones unless specified by the campaign.
2. Logo Usage Rules
The logo is the primary visual identifier. Maintain its integrity at all times.
- Clear Space: Always maintain a minimum clear space around the logo equal to the height of the logo icon.
- Minimum Size: For digital use, the logo should never be smaller than
24pxin height. - Backgrounds: Use the primary full-color logo on light backgrounds. Use the white monochrome logo on dark or busy backgrounds.
- Don'ts: Do not stretch, distort, add drop shadows, or change the colors of the logo.
3. Typography Hierarchy
Consistent typography establishes a visual rhythm and guides the user's attention.
| Level | Font Family | Size (Desktop/Mobile) | Weight | Line Height |
|---|---|---|---|---|
| H1 (Display) | Primary Sans | 48px / 36px | Bold (700) | 1.2 |
| H2 (Section) | Primary Sans | 32px / 28px | SemiBold (600) | 1.3 |
| H3 (Subsection) | Primary Sans | 24px / 20px | Medium (500) | 1.4 |
| Body (Main) | Secondary Serif | 16px / 16px | Regular (400) | 1.5 |
| Small/Caption | Primary Sans | 14px / 14px | Regular (400) | 1.5 |
4. Color Palettes
Colors evoke emotions and highlight actions. Stick to the predefined palette.
Primary Colors
- Brand Primary:
#0055FF(Actionable items, primary buttons, links) - Brand Dark:
#1A1A1A(Primary text, dark mode backgrounds) - Brand Light:
#F8F9FA(Backgrounds, cards, secondary panels)
Secondary/Semantic Colors
- Success:
#00C853(Validations, success states) - Warning:
#FFAB00(Alerts, non-destructive warnings) - Error:
#D50000(Destructive actions, error messages) - Neutral/Gray:
#757575(Secondary text, borders, disabled states)
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.
- 7d ago First seen · 66 lines · 876 tokens per session scan A 93a6609b57c3
brandkit is a cursor rule published in the GitHub repository GktuOktay/ai-skills (2 stars, last pushed 7d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 876 tokens. 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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