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 thienanblog/awesome-ai-agent-skills --skill ui-ux-concept-implementationgit clone --depth 1 https://github.com/thienanblog/awesome-ai-agent-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/thienanblog/awesome-ai-agent-skills/ui-ux-concept-implementation)<a href="https://agentmods.dev/skills/thienanblog/awesome-ai-agent-skills/ui-ux-concept-implementation"><img src="https://agentmods.dev/badge/skills/thienanblog/awesome-ai-agent-skills/ui-ux-concept-implementation/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/thienanblog/awesome-ai-agent-skills/ui-ux-concept-implementation"><img src="https://agentmods.dev/badge/skills/thienanblog/awesome-ai-agent-skills/ui-ux-concept-implementation.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 | $0.00048 | $0.00864 |
| Opus 5.5 | $0.00019 | $0.00346 |
| Sonnet 5.5 | $0.00010 | $0.00173 |
| Haiku 4.5 | $0.00005 | $0.00086 |
Grade A, and why
ui-ux-concept-implementation 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 27d 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UI/UX Concept Implementation
Overview
Turn a selected visual direction into working UI while preserving the project's product identity and producing browser evidence against the target.
Delegation
Run in the main conversation by default. Delegation can increase usage: obtain explicit approval for the proposed agent count and scope before using subagents. Reuse that approval within its bounds; ask again before expanding the approved count or scope.
Establish The Visual Contract
- Confirm that one direction is selected. A single user-supplied mockup, screenshot, or reference site is a selected target. If materially different concepts remain unselected, obtain the user's selection unless they already authorized choosing an approach.
- If the selected target is an operational dashboard and a dashboard-specific workflow better fits the task, use that guidance directly. Otherwise continue with this general visual-reference workflow.
- Inspect the target and the current rendered UI at the relevant routes, viewports, themes, data states, and interaction states. Ask a narrow question only when unresolved ambiguity would produce materially different results.
- Classify the target's visible decisions as exact (must match), adaptable (translate into the product's visual language), or unspecified (follow established project conventions). Record only the distinctions needed to guide implementation and verification.
- Treat existing project instructions, design-system sources, components, tokens, content, assets, responsive conventions, and accessibility patterns as constraints. Do not replace suitable project identity merely because the reference uses a different system.
- Preserve the selected concept outside committed source only when later comparison genuinely needs a durable artifact. Prefer an existing ignored or environment-managed location; do not create project files or modify ignore configuration solely for transient persistence without authorization.
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.
- 27d ago Changed · -2 lines 23527d4d1563
- 1mo ago Changed · +1 lines · -35 tokens per session d696ff2cd7a2
- 1mo ago First seen · 85 lines · 83 tokens per session scan A ce1e3a61ec1c
ui-ux-concept-implementation is a skill published in the GitHub repository thienanblog/awesome-ai-agent-skills (70 stars, last pushed 27d ago), licensed Apache-2.0. It adds 48 tokens to every session and 864 once invoked, about $0.0002 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 2026-08-30.
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