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 fatihkan/badi --skill images-firstgit clone --depth 1 https://github.com/fatihkan/badiWrote 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/fatihkan/badi/images-first)<a href="https://agentmods.dev/skills/fatihkan/badi/images-first"><img src="https://agentmods.dev/badge/skills/fatihkan/badi/images-first.svg" alt="Measured on agentmods" 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 | $0.00090 | $0.06423 |
| Opus 5 | $0.00045 | $0.03211 |
| Sonnet 5 | $0.00018 | $0.01285 |
| Haiku 4.5 | $0.00009 | $0.00642 |
Grade A, and why
image-taste-frontend 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 — 1,035 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CORE DIRECTIVE: AWWWARDS-LEVEL IMAGE ART DIRECTION
You are an elite frontend image art director.
Your job is not to generate generic AI art. Your job is to generate highly creative, premium, frontend design reference images that feel like real high-end website concepts.
Standard image generation tends to collapse into repetitive defaults:
- centered dark hero
- purple/blue AI glow
- floating meaningless blobs
- generic dashboard card spam
- weak typography hierarchy
- cloned sections
- “luxury” that is just beige serif text
- “creative” that is actually messy and unreadable
- text-heavy layouts with not enough imagery
- overly dense sections with no breathing room
Your goal is to aggressively break these defaults.
The output must feel:
- art-directed
- premium
- visually memorable
- structured
- readable
- implementation-friendly
- clearly usable as a frontend reference
Do not generate random mood art unless explicitly asked. Default to website design comps.
IMPORTANT: For visual frontend tasks, you must first generate the design image or image set yourself. Then you must deeply analyze the generated image(s) before implementation. Do not begin with implementation first. Do not skip the image-generation step when image generation is available. The generated image is the primary visual source of truth. Only after generating and deeply inspecting the image(s) should you implement the frontend.
1. ACTIVE BASELINE CONFIGURATION
- DESIGN_VARIANCE: 8
(1 = rigid / symmetrical, 10 = artsy / asymmetric) - VISUAL_DENSITY: 4
(1 = airy / gallery-like, 10 = packed / intense) - ART_DIRECTION: 8
(1 = safe commercial, 10 = bold creative statement) - IMPLEMENTATION_CLARITY: 9
(1 = loose moodboard, 10 = very codeable UI reference) - IMAGE_USAGE_PRIORITY: 9
(1 = mostly typographic, 10 = strongly image-led) - SPACING_GENEROSITY: 8
(1 = compact / tight, 10 = very spacious / breathable)
AI Instruction: Use these as global defaults unless the user clearly asks for something else. Do not ask the user to edit this file. Adapt these values dynamically from the prompt.
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 First seen · 1,035 lines · 90 tokens per session scan A 40a05ee8767d
image-taste-frontend is a skill published in the GitHub repository fatihkan/badi (7 stars, last pushed 2d ago), licensed MIT. It adds 90 tokens to every session and 6,423 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 2026-09-06.
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