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 DDS-Solutions/AI-TadPole-OS --skill frontend-designgit clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OSWrote 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/dds-solutions/ai-tadpole-os/frontend-design)<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/frontend-design"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/frontend-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/dds-solutions/ai-tadpole-os/frontend-design"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/frontend-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00037 | $0.01458 |
| Opus 5.5 | $0.00015 | $0.00583 |
| Sonnet 5.5 | $0.00007 | $0.00292 |
| Haiku 4.5 | $0.00004 | $0.00146 |
Grade A, and why
frontend-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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[!IMPORTANT] AI Context & Knowledge Heritage
- Subsystem: Agent Skills Registry / frontend-design
- Architecture:
@docs ARCHITECTURE:Documentation- Failure Path: Inconsistent design system, uncalibrated visual hierarchy, accessibility regressions, clashing color contrast, jarring unoptimized animations.
- Observability: Traceability via
execution/parity_guard.py([SKILL])
Frontend Design System & Aesthetic Engineering Standards
Philosophy: Every pixel has purpose. Restraint is luxury. User psychology drives decisions. Core Principle: THINK, don't memorize. ASK, don't assume.
📚 Progressive Disclosure & L3 Reference Index
Read REQUIRED core standards below; consult deep L3 Reference Guides on demand:
| L3 Resource | Scope & Purpose | Trigger / When to Load |
|---|---|---|
references/ux-psychology.md |
Behavioral laws (Hick's, Fitts', Miller's, Von Restorff) | Psychology, emotional design, trust building |
references/color-system.md |
60-30-10 palette rules, contrast scales, dark obsidian tints | Palette selection & theme generation |
references/typography-system.md |
Golden ratio scaling (φ=1.618), pairing sans/display/mono | Typography hierarchy & font pairing |
references/visual-effects.md |
Elevation shadows, tinted borders, glassmorphism boundaries | Surface depth & background effects |
references/animation-guide.md |
Micro-interactions, ease-out/ease-in curves, transforms | State transitions & feedback |
references/motion-graphics.md |
Advanced Lottie, GSAP, Canvas, and 3D visualizers | Complex dashboard motion & spatial maps |
references/decision-trees.md |
Full industry & persona decision matrices | Template scaffolding & product archetypes |
accessibility_checker.py |
Deterministic WCAG compliance audit script | Component accessibility verification |
ux_audit.py |
Psychological and aesthetic UX audit engine | Pre-commit UI/UX code review |
What ships with it
9 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/animation-guide.md 8.2 KB
- references/color-system.md 9.7 KB
- references/decision-trees.md 17 KB
- references/motion-graphics.md 8.2 KB
- references/typography-system.md 8.7 KB
- references/ux-psychology.md 39 KB
- references/visual-effects.md 8.5 KB
- scripts/accessibility_checker.py 8.9 KB runs code
- scripts/ux_audit.py 38 KB runs code
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 Changed · +24 lines 36510dc2379c
- 1mo ago First seen · 69 lines · 37 tokens per session scan A e1be49467d89
frontend-design is a skill published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed 5d ago), licensed MIT. It adds 37 tokens to every session and 1,458 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 2026-08-31.
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