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 daffy0208/ai-dev-standards --skill prototype-designergit clone --depth 1 https://github.com/daffy0208/ai-dev-standardsWrote 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/daffy0208/ai-dev-standards/prototype-designer)<a href="https://agentmods.dev/skills/daffy0208/ai-dev-standards/prototype-designer"><img src="https://agentmods.dev/badge/skills/daffy0208/ai-dev-standards/prototype-designer/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/daffy0208/ai-dev-standards/prototype-designer"><img src="https://agentmods.dev/badge/skills/daffy0208/ai-dev-standards/prototype-designer.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 | $0.00028 | $0.03822 |
| Opus 5 | $0.00014 | $0.01911 |
| Sonnet 5 | $0.00006 | $0.00764 |
| Haiku 4.5 | $0.00003 | $0.00382 |
Grade A, and why
Prototype Designer 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 6d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- prototype-designer — 94% identical, 9 lines differ
How it starts
The opening of the file, as written. The whole thing — 767 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prototype Designer
Validate ideas through interactive prototypes before writing code.
Core Principle
Test before you build.
Prototypes let you:
- Validate assumptions
- Test with real users
- Iterate faster than code
- Communicate ideas clearly
- Reduce development waste
Phase 1: Choosing Prototyping Tools
Tool Comparison
| Tool | Best For | Learning Curve | Fidelity |
|---|---|---|---|
| Figma | Full designs, collaboration | Medium | High |
| Framer | Code-based, advanced interactions | High | Very High |
| ProtoPie | Complex interactions, sensors | Medium | Very High |
| Adobe XD | Adobe ecosystem users | Low | High |
| InVision | Design handoff, simple clicks | Low | Medium |
| Axure | Complex logic, documentation | High | High |
Quick Start Recommendations
Beginner: Start with Figma
- Built-in to design tool
- No separate app needed
- Intuitive interactions
- Free for individuals
Advanced: Graduate to Framer or ProtoPie
- More complex interactions
- Variable support
- Conditional logic
- Sensor integration (mobile)
Phase 2: User Flow Design
What is a User Flow?
A user flow shows the path users take through your app to complete a task.
Example: User Registration Flow
Start
↓
Landing Page
↓
Click "Sign Up"
↓
Email Entry → Validation
↓ [Valid]
Password Entry → Validation
↓ [Valid]
Success Screen
↓
Onboarding Flow
Creating User Flows in Figma
1. Create Flow Frames:
Frames needed:
├── 01-landing
├── 02-signup-form
├── 03-email-verification
├── 04-success
└── 05-onboarding-step-1
2. Add Interactions:
Click "Sign Up" button → Navigate to 02-signup-form
Click "Submit" → Navigate to 03-email-verification
Click "Continue" → Navigate to 04-success
What ships with it
1 file 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.
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.
- 6d ago First seen · 767 lines · 28 tokens per session scan A cbe00d0cd7e0
Prototype Designer is a skill published in the GitHub repository daffy0208/ai-dev-standards (36 stars, last pushed 8mo ago), licensed MIT. It adds 28 tokens to every session and 3,822 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 2026-09-03.
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