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 yonatangross/orchestkit --skill ai-ui-generationgit clone --depth 1 https://github.com/yonatangross/orchestkitWrote 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/yonatangross/orchestkit/ai-ui-generation)<a href="https://agentmods.dev/skills/yonatangross/orchestkit/ai-ui-generation"><img src="https://agentmods.dev/badge/skills/yonatangross/orchestkit/ai-ui-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/yonatangross/orchestkit/ai-ui-generation"><img src="https://agentmods.dev/badge/skills/yonatangross/orchestkit/ai-ui-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 73 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00095 | $0.02394 |
| Opus 5 | $0.00048 | $0.01197 |
| Sonnet 5 | $0.00019 | $0.00479 |
| Haiku 4.5 | $0.00010 | $0.00239 |
Grade A, and why
ai-ui-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 5d 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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI UI Generation
Patterns for generating, reviewing, and integrating UI components produced by AI tools (json-render, v0.app, Google Stitch, Bolt Cloud, Cursor). json-render is the first choice for multi-surface, MCP visual output, and type-safe catalog workflows. AI-generated UI is 80% boilerplate, 20% custom — the human reviews, refactors, and owns the output. These rules ensure AI output meets design system, accessibility, and quality standards before shipping.
Tool landscape as of 2026-04:
- v0.dev → v0.app (Jan 2026 rebrand) — expanded from component scaffolding to full-stack app generation with shipping targets (Vercel, Cloudflare, Railway). v0.app MCP server (
@vercel/v0-mcp) exposes generation as an MCP tool, so agents can call it programmatically.- Google Stitch — design-first generation via
stitch.withgoogle.com/docs/mcp. Produces multi-screen apps (up to 5 interconnected screens) with React/HTML + PNG. Strong when input is a screenshot, URL, or DESIGN.md file.- Bolt Cloud (StackBlitz, 2026) — Bolt now runs the dev environment in the cloud (no local WebContainer). Integrates with GitHub and supports persistent databases. Best for full-stack prototypes with backend + deploy.
- v0.app and Stitch both integrate with shadcn/ui styles; pair with the
shadcn apply <style>CLI (v4) to reuse generated output.
Quick Reference
| Category | Rules | Impact | When to Use |
|---|---|---|---|
| json-render Integration | 1 | HIGH | Multi-surface output, MCP visual output, type-safe catalogs |
| Prompt Engineering | 2 | HIGH | Writing prompts for component generation |
| Quality Assurance | 2 | CRITICAL/HIGH | Reviewing and gating AI-generated code |
| Design System Integration | 2 | HIGH | Injecting tokens, refactoring for conformance |
| Tool Selection & Workflow | 2 | MEDIUM | Choosing the right AI tool, iterating prompts |
What ships with it
14 files 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.
- references/ai-ui-failure-modes.md 4.3 KB
- references/ai-ui-tool-comparison.md 5.4 KB
- references/prompt-templates-library.md 5.2 KB
- rules/_sections.md 1.6 KB
- rules/_template.md 339 B
- rules/ai-ci-gate.md 3.9 KB
- rules/ai-iteration-patterns.md 3.3 KB
- rules/ai-prompt-patterns.md 2.7 KB
- rules/ai-refactoring-conformance.md 3.5 KB
- rules/ai-review-checklist.md 3.1 KB
- rules/ai-token-injection.md 3.1 KB
- rules/ai-tool-selection.md 3.5 KB
- rules/json-render-patterns.md 2.7 KB
- test-cases.json 4.7 KB
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.
- 5d ago First seen · 173 lines · 95 tokens per session scan A 4497184af34d
ai-ui-generation is a skill published in the GitHub repository yonatangross/orchestkit (231 stars, last pushed today), licensed MIT. It adds 95 tokens to every session and 2,394 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 2026-09-03.
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