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 oyi77/1ai-skills --skill banner-designgit clone --depth 1 https://github.com/oyi77/1ai-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/skills/oyi77/1ai-skills/banner-design)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/banner-design"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/banner-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/oyi77/1ai-skills/banner-design"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/banner-design.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 | $0.00058 | $0.02159 |
| Opus 5 | $0.00029 | $0.01079 |
| Sonnet 5 | $0.00012 | $0.00432 |
| Haiku 4.5 | $0.00006 | $0.00216 |
Grade A, and why
banner-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 yesterday.
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 — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Banner Design - Multi-Format Creative Banner System
Design banners across social, ads, web, and print formats. Generates multiple art direction options per request with AI-powered visual elements. This skill handles banner design only. Does NOT handle video editing, full website design, or print production.
When to Use
- User requests banner, cover, or header design
- Social media cover/header creation
- Ad banner or display ad design
- Website hero section visual design
- Event/print banner design
- Creative asset generation for campaigns
Prerequisites
Python: This skill uses Python scripts. On Windows, use python instead of python3 (e.g., python scripts/search.py instead of python3 scripts/search.py).
Workflow
Step 1: Gather Requirements (AskUserQuestion)
Collect via AskUserQuestion:
- Purpose — social cover, ad banner, website hero, print, or creative asset?
- Platform/size — which platform or custom dimensions?
- Content — headline, subtext, CTA, logo placement?
- Brand — existing brand guidelines? (check
docs/brand-guidelines.md) - Style preference — any art direction? (show style options if unsure)
- Quantity — how many options to generate? (default: 3)
Step 2: Research & Art Direction
- Activate
ui-ux-pro-maxskill for design intelligence - Use Chrome browser to research Pinterest for design references:
Navigate to pinterest.com → search "[purpose] banner design [style]" Screenshot 3-5 reference pins for art direction inspiration - Select 2-3 complementary art direction styles from references:
references/banner-sizes-and-styles.md
Step 3: Design & Generate Options
For each art direction option:
- Create HTML/CSS banner using
frontend-designskill- Use exact platform dimensions from size reference
- Apply safe zone rules (critical content in central 70-80%)
- Max 2 typefaces, single CTA, 4.5:1 contrast ratio
- Inject brand context via
inject-brand-context.cjs
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.
- yesterday Changed · +31 lines b7de070196c2
- 11d ago First seen · 164 lines · 58 tokens per session scan A 46d6f47574de
banner-design is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 58 tokens to every session and 2,159 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
web-design-guidelines
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".
design-taste-frontend
Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.
html-artifacts
Author the HTML for a plan artifact, dashboard iframe, or Slack attachment — structure, design plan, available runtime, theming, and craft. Read this before writing HTML for saveplan, outputiframe, or slackattachhtml.
image-to-code
Elite website image-to-code skill for Codex. For visually important web tasks, it must first generate the design image(s) itself, deeply analyze them, then implement the website to match them as closely as possible. In Codex, it must prefer large, readable, section-specific images instead of tiny compressed boards…
design-taste-frontend-v1
The original v1 taste-skill, preserved for projects depending on its exact behavior. The current default is design-taste-frontend (v2 experimental), which is a substantial rewrite. Use this v1 install name only if you need exact backward compatibility.
redesign-existing-projects
Upgrades existing websites and apps to premium quality. Audits current design, identifies generic AI patterns, and applies high-end design standards without breaking functionality. Works with any CSS framework or vanilla CSS.