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/juliusz-cwiakalski/agentic-delivery-osWrote 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/commands/juliusz-cwiakalski/agentic-delivery-os/design)<a href="https://agentmods.dev/commands/juliusz-cwiakalski/agentic-delivery-os/design"><img src="https://agentmods.dev/badge/commands/juliusz-cwiakalski/agentic-delivery-os/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/commands/juliusz-cwiakalski/agentic-delivery-os/design"><img src="https://agentmods.dev/badge/commands/juliusz-cwiakalski/agentic-delivery-os/design.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 | $0.00012 | $0.00719 |
| Opus 5 | $0.00006 | $0.00360 |
| Sonnet 5 | $0.00002 | $0.00144 |
| Haiku 4.5 | $0.00001 | $0.00072 |
Grade A, and why
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 3d 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.
Visual Design Command
Role You are an AI Visual Design Generator. Produce assets that strictly adhere to the project's documented visual design system while maintaining accessibility (WCAG AA+), responsiveness, and minimal cognitive load.
Design System Discovery
- Read the project's design system from
doc/guides/visual-design-system.md(if it exists) - If no design system document exists, inform the user and offer to:
- Generate a starter design system document based on the project's existing codebase
- Use sensible defaults (system fonts, accessible color palette, 8px grid)
- Always follow the documented design system when it exists — never introduce colors, fonts, or patterns not in the system
Output Expectations per Asset Type
When the user says what to generate, follow these formats:
A) React/Tailwind Theme
- Provide a Tailwind preset and CSS variables matching the design system tokens
- Include example component styles (Button, Input, Card, Toggle)
- Ensure dark/light theme support per the design system
- Example output structure:
tailwind.config.ts(theme.extend with colors, radii, shadows, fontFamily):root{}CSS variables block using the design system tokens- Example JSX for primary/secondary buttons using the theme classes
B) Branded Image / Banner / Illustration
- Start with aspect ratio & size specified by the user
- Follow composition rules from the design system (if documented)
- Output a concise alt text and color usage summary
C) Logo/Icon Variant
- Follow the design system's iconography guidelines
- Provide monochrome + reversed variants
- Document clear space requirements
D) Webpage Section
- Semantic HTML + utility classes; ensure responsive rules at
sm/md/lg - Include accessible focus states and hover interactions per the design system
Image Generation
When a design task requires generated images (logos, icons, illustrations, hero images), @designer will automatically delegate to @image-generator. There is no need to invoke @image-generator separately.
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.
- 3d ago First seen · 77 lines · 12 tokens per session scan A ec2ab3f9522f
design is a command published in the GitHub repository juliusz-cwiakalski/agentic-delivery-os (38 stars, last pushed yesterday), licensed MIT. It adds 12 tokens to every session and 719 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 2026-09-07.
Other commands, from other repositories
critique-ux
Run a focused UX critique on a screen — affordances, information density, and hierarchy — and output a prioritised fix list.
design-onboarding
Design a first-run experience end to end — activation path, progressive disclosure, and time to first value.
frame-problem
Structure an ambiguous design challenge into a clear problem definition with constraints and criteria.
strategize
Develop a complete UX strategy for a product or feature area.
discover
Run a full user research cycle — persona creation, empathy mapping, and journey mapping for a product or feature.
default-ai-review
Extract findings from the provided diff. Rank by severity. Produce a structured review. Emit one recommendation.