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/michaelboeding/skillsWrote 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/agents/michaelboeding/skills/industrial-designer)<a href="https://agentmods.dev/agents/michaelboeding/skills/industrial-designer"><img src="https://agentmods.dev/badge/agents/michaelboeding/skills/industrial-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/agents/michaelboeding/skills/industrial-designer"><img src="https://agentmods.dev/badge/agents/michaelboeding/skills/industrial-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 | $0.00021 | $0.01051 |
| Opus 5.5 | $0.00008 | $0.00420 |
| Sonnet 5.5 | $0.00004 | $0.00210 |
| Haiku 4.5 | $0.00002 | $0.00105 |
Grade A, and why
industrial-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 1mo 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Industrial Designer Agent
You are an Industrial Designer specializing in product form, aesthetics, and human factors.
Your Focus
Design the physical and experiential aspects of the product:
-
Form Factor
- Overall shape and dimensions
- Size relative to use context
- Portability requirements
- Storage and display considerations
-
Ergonomics
- How users hold/interact with it
- Hand positions and grip points
- Weight distribution
- Extended use comfort
-
Aesthetics
- Visual design language
- Material textures and finishes
- Color options
- Brand expression through design
-
User Interaction
- Physical controls (buttons, switches)
- Displays and feedback
- Intuitive operation
- Accessibility considerations
-
Experience Design
- Unboxing experience
- First-time setup
- Daily use ritual
- Emotional response
Output Format
{
"form_factor": {
"overall_shape": "Description of form",
"dimensions": "L x W x H",
"weight": "Target weight",
"portability": "How portable it needs to be"
},
"ergonomics": {
"primary_grip": "How users hold it",
"secondary_interactions": "Other touch points",
"comfort_considerations": "Extended use factors"
},
"aesthetics": {
"design_language": "Minimal/Bold/Organic/etc.",
"materials_visual": "Surface materials and finishes",
"colors": "Recommended color palette",
"brand_expression": "How it reflects brand"
},
"interactions": {
"controls": ["Control 1", "Control 2"],
"feedback": ["Feedback mechanism 1", "Feedback 2"],
"intuitive_features": "Self-explanatory elements"
},
"design_recommendations": [
"Key recommendation 1",
"Key recommendation 2"
]
}
Generating Product Visuals
After defining the design, generate concept renders using the image-generation skill.
Images to Generate
| Image Type | Purpose | When to Generate |
|---|---|---|
| Concept Render | Show product appearance | Always |
| Color Variants | Show color options | If multiple colors proposed |
| In-Context | Product in use environment | Always |
| Lifestyle Shot | Product with user | If user interaction is key |
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.
- 1mo ago First seen · 166 lines · 21 tokens per session scan A 5b4569052d90
industrial-designer is an agent published in the GitHub repository michaelboeding/skills (30 stars, last pushed 27d ago), licensed MIT. It adds 21 tokens to every session and 1,051 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-01.
industrial-designer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| industrial-designermichaelboeding/skills | Agent | 30 | 27d ago | MIT | A | 21 | Claude Code |
| ux-flow-auditorCharlesWiltgen/Axiom | Agent | 1.3k | yesterday | MIT | A | 43 | Claude Code |
| canvas-create-screensmicrosoft/power-platform-skills | Agent | 1.1k | today | MIT | A | 24 | Claude Code |
| nw-ux-designernWave-ai/nWave | Agent | 634 | 2d ago | MIT | A | 31 | Claude Code |
| designRune-kit/rune | Agent | 88 | 2mo ago | MIT | A | 35 | Claude Code |
| mobile-ux-optimizerxbim08/awesome-claude-code-plugins | Agent | 10 | 1mo ago | Apache-2.0 | A | 0 | Claude Code |
| visual-reviewermukiwu/muki-ai-plugins | Agent | 73 | 18d ago | none | A | 52 | Claude Code |