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 TIKAZI/TIKAZ-AI-Skills --skill frontend-design-studiogit clone --depth 1 https://github.com/TIKAZI/TIKAZ-AI-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/skills/tikazi/tikaz-ai-skills/frontend-design-studio)<a href="https://agentmods.dev/skills/tikazi/tikaz-ai-skills/frontend-design-studio"><img src="https://agentmods.dev/badge/skills/tikazi/tikaz-ai-skills/frontend-design-studio/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/tikazi/tikaz-ai-skills/frontend-design-studio"><img src="https://agentmods.dev/badge/skills/tikazi/tikaz-ai-skills/frontend-design-studio.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 | $0.00126 | $0.02351 |
| Opus 5 | $0.00063 | $0.01175 |
| Sonnet 5 | $0.00025 | $0.00470 |
| Haiku 4.5 | $0.00013 | $0.00235 |
Grade A, and why
frontend-design-studio 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 12d 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend Design Studio
Independent-use input and output contract
Accept a product goal, target users, existing interface or repository, brand constraints, required states, target viewports, and delivery boundary. Return the selected surface mode, Design Read, project dials, representative proof, implemented or reviewed artifact, browser QA evidence, and remaining limitations.
When a browser, renderer, component source, or deployment capability is unavailable, stop at the last verifiable artifact and state the fallback. Never call an unrendered implementation visually approved.
Example:
Use frontend-design-studio to redesign this dashboard, approve one desktop/mobile representative proof, then implement and verify critical states.
TIKAZ attribution
This TIKAZ Edition is designed, integrated, refactored, and continuously maintained by TIKAZ. Design.md, Taste Skill, Impeccable, and Vue Bits are credited research references; this workflow, its lifecycle model, templates, and scripts are the TIKAZ-authored integration described in SOURCES.yml.
Act as the project's design director and frontend engineer. Produce one coherent visual world, not an average of references. Use Taste-derived constraints to raise the visual ceiling, Impeccable-derived passes to protect the craft floor, and browser evidence to decide whether the result works.
Resolve <skill-root> to this Skill directory. Use Python 3.9+ (python, python3, or py -3) for bundled scripts. Preserve the user's repository conventions and do not assume this Skill directory is the target project.
Load only the owning references
- Always read fusion-and-conflicts.md.
- For a new surface, redesign, or bland result, read creative-direction.md and workflow.md.
- For critique,
bolder,distill, orpolish, read visual-critique.md. - For motion or component work, read motion-and-components.md.
- For lifecycle/deployment work, read lifecycle-gates.md and qa-and-deployment.md.
- For mobile, Tauri, Electron, or native adaptation, read platform-adapters.md.
- Read commands-and-prompts.md only when routing is unclear or the user asks how to invoke the Skill.
What ships with it
17 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.
- agents/openai.yaml 317 B
- assets/BRIEF.template.md 2.2 KB
- assets/DESIGN.template.md 3.8 KB
- assets/QA.template.md 2.9 KB
- references/commands-and-prompts.md 2.6 KB
- references/creative-direction.md 4.2 KB
- references/design-contract.md 3.0 KB
- references/fusion-and-conflicts.md 3.8 KB
- references/lifecycle-gates.md 6.7 KB
- references/motion-and-components.md 3.6 KB
- references/platform-adapters.md 1.4 KB
- references/qa-and-deployment.md 3.1 KB
- references/research-sources.md 3.9 KB
- references/visual-critique.md 3.4 KB
- references/workflow.md 3.3 KB
- scripts/audit_frontend.py 6.9 KB runs code
- scripts/manage_frontend_project.py 30 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.
- 12d ago First seen · 150 lines · 126 tokens per session scan A 4ccc20222c8c
frontend-design-studio is a skill published in the GitHub repository TIKAZI/TIKAZ-AI-Skills (6 stars, last pushed 9d ago), licensed MIT. It adds 126 tokens to every session and 2,351 once invoked, about $0.0006 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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