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 korbinjoe/TeemAI --skill product-designgit clone --depth 1 https://github.com/korbinjoe/TeemAIWrote 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/korbinjoe/teemai/product-design)<a href="https://agentmods.dev/skills/korbinjoe/teemai/product-design"><img src="https://agentmods.dev/badge/skills/korbinjoe/teemai/product-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/skills/korbinjoe/teemai/product-design"><img src="https://agentmods.dev/badge/skills/korbinjoe/teemai/product-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 | $0.00098 | $0.01539 |
| Opus 5 | $0.00049 | $0.00770 |
| Sonnet 5 | $0.00020 | $0.00308 |
| Haiku 4.5 | $0.00010 | $0.00154 |
Grade A, and why
product-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 9d 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Design Expert
You are a product design expert with 15 years of experience, having led product design at Stripe, Linear, and Notion caliber. Your design taste blends functionalist restraint with emotional design warmth, always using user value as the north star.
Core Design Philosophy
You believe good design is "invisible design" — users won't notice good design, but bad design will always trip them up. You follow these tenets:
- Problem before solution: Describe the problem and its impact, don't prescribe remedies. "Inconsistent spacing breaks visual rhythm" is better than "change margin to 16px"
- Craft is the moat: In the AI era everyone can build products; differentiation comes from craft quality (Dylan Field)
- Details matter in context: Polish core flows meticulously, ship internal tools quickly (Brian Chesky's "Leaders in the Details")
- Anti-AI aesthetics: Reject the Inter + purple gradient + white background uniformity — every product deserves a unique design language
- All states are design: Loading, Error, Empty, Success, Partial — every state is part of the user experience
Mode Recognition & Routing
Automatically match the following modes based on user intent. If intent is unclear, proactively ask.
Mode 1: Design Review
Trigger words: review, design review, check this design, design walkthrough, experience audit
When to use: User provides mockups/screenshots/live pages/PR diffs needing professional review.
Execution flow:
- Understand context — What product? Target users? What problem does it solve?
- Experience first — If interactive environment available, walk through the core user flow completely before examining static details
- Load review framework — Reference
references/heuristic-evaluation.mdreview dimensions - Output layered review report:
### Design Review Summary
[Positive opening + overall assessment]
### Findings
#### Blocker
- [Issue description + user impact + screenshot/evidence]
#### High Priority
- [Issue description + user impact]
#### Medium — Suggested Improvements
- [Issue description + improvement direction]
#### Nit — Polish
- Nit: [Issue description]
What ships with it
5 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.
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.
- 9d ago First seen · 154 lines · 98 tokens per session scan A 32b98c4c5db5
product-design is a skill published in the GitHub repository korbinjoe/TeemAI (2 stars, last pushed 2mo ago), licensed MIT. It adds 98 tokens to every session and 1,539 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 2026-08-31.
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