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 varunk130/ai-ux-skill-library --skill ai-prompt-uxgit clone --depth 1 https://github.com/varunk130/ai-ux-skill-libraryWrote 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/varunk130/ai-ux-skill-library/ai-prompt-ux)<a href="https://agentmods.dev/skills/varunk130/ai-ux-skill-library/ai-prompt-ux"><img src="https://agentmods.dev/badge/skills/varunk130/ai-ux-skill-library/ai-prompt-ux/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/varunk130/ai-ux-skill-library/ai-prompt-ux"><img src="https://agentmods.dev/badge/skills/varunk130/ai-ux-skill-library/ai-prompt-ux.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 | $0.00060 | $0.02150 |
| Opus 5 | $0.00030 | $0.01075 |
| Sonnet 5 | $0.00012 | $0.00430 |
| Haiku 4.5 | $0.00006 | $0.00215 |
Grade A, and why
ai-prompt-ux 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Prompt UX
Design the input side of AI interactions - how users express their intent, refine their requests, and learn to communicate effectively with AI. The CRAFT framework treats the prompt experience as a design surface, not just a text box.
Core Principle
A blank text box is not a prompt UX. It is an abdication of design. The empty chat input puts 100% of the burden on the user to figure out what to say, how to say it, and what's possible. Great prompt UX reduces that burden to near zero while preserving unlimited expressiveness for power users.
The CRAFT Framework
| Letter | Principle | Design Question |
|---|---|---|
| C | Constrain Productively | Does the input interface guide users toward better prompts without limiting expressiveness? |
| R | Reveal Capabilities | Can users discover what's possible through the input experience itself? |
| A | Assist Construction | Does the interface help users build complex prompts piece by piece? |
| F | Format Intelligently | Does the system interpret intent regardless of how the user formatted their input? |
| T | Teach Through Interaction | Does each interaction make the user slightly better at prompting? |
The Prompt Input Spectrum
Not every AI product should use a blank text box. Choose the right input pattern for your context:
| Pattern | User Freedom | Guidance Level | Best For | Example |
|---|---|---|---|---|
| Free text | Maximum | Minimum | Expert users, open-ended exploration | ChatGPT main input |
| Guided text | High | Medium | Most users, most products | Text box with placeholder text: "Ask me to analyze, write, or research..." |
| Template selection | Medium | High | Specific workflows, recurring tasks | "Summarize this document" / "Compare these options" / "Draft an email about..." |
| Structured form | Low | Maximum | Domain-specific tools, non-technical users | Form fields: Subject, Tone, Length, Audience, Key points |
| Hybrid | Variable | Variable | Products serving diverse users | Text box + expandable "Advanced options" panel |
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 · 175 lines · 60 tokens per session scan A 9e6ef0385aa5
ai-prompt-ux is a skill published in the GitHub repository varunk130/ai-ux-skill-library (3 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 2,150 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 2026-08-31.
Other skills, from other repositories
prompt-engineering
Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques. Use when building LLM applications requiring reliable outputs, implementing RAG systems, creating AI agents, or optimizing prompt quality and cost. Covers OpenAI, Anthropic, and open-source models with…
enhance-prompt
Transforms vague UI ideas into polished, Stitch-optimized prompts. Enhances specificity, adds UI/UX keywords, injects design system context, and structures output for better generation results.
prompt-engineer
Writes, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites. Use when designing prompts for new LLM applications, refactoring existing prompts for better accuracy or token efficiency, implementing chain-of-thought or few-shot…
prompt-master
Generates optimized prompts for AI tools. Activates only when the user explicitly asks to write, fix, improve, or adapt a prompt for a specific AI tool (LLM, Cursor, Midjourney, image AI, video AI, coding agents, etc.). Does not activate for general conversation, coding tasks, document writing, or other…
ai-workflow-architect
Designs AI systems, automations, and agent workflows for a business — identifying which manual work is worth automating, how to structure the system, which tools fit, and what could go wrong. Use this to automate part of an operation, design an agent or MCP workflow, reduce repetitive manual work, connect tools into a…
ss-reference
Compile screenshots, URLs, Figma exports, or an existing UI into a project-local StyleSeed output grammar with evidence, tokens, confidence, anti-patterns, and a validation screen. Use when the user supplies a design reference that StyleSeed does not already model.