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 kevinnft/ai-agent-skills --skill visual-assets-generationgit clone --depth 1 https://github.com/kevinnft/ai-agent-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/kevinnft/ai-agent-skills/visual-assets-generation)<a href="https://agentmods.dev/skills/kevinnft/ai-agent-skills/visual-assets-generation"><img src="https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/visual-assets-generation/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/kevinnft/ai-agent-skills/visual-assets-generation"><img src="https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/visual-assets-generation.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 | $0.00019 | $0.03047 |
| Opus 5 | $0.00010 | $0.01523 |
| Sonnet 5 | $0.00004 | $0.00609 |
| Haiku 4.5 | $0.00002 | $0.00305 |
Grade A, and why
visual-assets-generation 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 11d 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 — 416 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Visual Assets Generation
Generate visual assets for repositories and documentation — ASCII art, diagrams, banners, social cards.
When to Use
- User asks "bikin gambar", "buat visual", "generate banner"
- Repo needs visual improvements (README header, architecture diagram)
- Social media sharing (Twitter/LinkedIn cards)
- Documentation needs diagrams (workflow, architecture, comparison)
Workflow
Step 1: Create ASCII Preview First ⭐
ALWAYS create TXT preview before generating real images:
Why:
- Faster iteration (no image generation wait)
- User can review before committing
- Works everywhere (no image dependencies)
- Easy to edit and refine
Format:
VISUAL_ASSETS_PREVIEW.txt
├── ASCII Art Banner
├── Architecture Diagram
├── Workflow Diagram
├── Comparison Tables
├── Folder Structure
├── Performance Metrics
├── Quick Start Guide
└── Social Media Preview
Step 2: Generate Comprehensive Preview
Include multiple visual types in one file:
-
ASCII Art Banner/Logo
- Use box-drawing characters (╔═╗║╚╝)
- Use block characters (█▀▄▌▐)
- Include tagline and URL
-
Architecture Diagram
- System components
- Data flow (arrows: → ↓ ↑ ←)
- Integration points
-
Workflow Diagram
- Step-by-step process
- Decision points
- Outcomes
-
Comparison Tables
- Feature comparison
- Before/After
- Options comparison
-
Folder Structure
- Tree view (├── └── │)
- Annotations
- Purpose explanations
-
Performance Metrics
- Bar charts (█ blocks)
- Speed comparisons
- Size comparisons
-
Quick Start Guide
- Installation steps
- Usage examples
- Success criteria
-
Social Media Preview
- Title + tagline
- Key features (emoji bullets)
- Call to action
- URL
Step 3: Offer Options
After creating preview, present choices:
Option A: Use ASCII Directly
# Add to README.md
cat VISUAL_ASSETS_PREVIEW.txt >> README.md
- ✅ Works everywhere
- ✅ No dependencies
- ✅ Easy to maintain
- ❌ Less visually appealing
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.
- 11d ago First seen · 416 lines · 19 tokens per session scan A 36b71b00fcc8
visual-assets-generation is a skill published in the GitHub repository kevinnft/ai-agent-skills (14 stars, last pushed 1mo ago), licensed MIT. It adds 19 tokens to every session and 3,047 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 2026-08-30.
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