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 hxy91819/mason-skills --skill improving-mobile-product-uxgit clone --depth 1 https://github.com/hxy91819/mason-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/hxy91819/mason-skills/improving-mobile-product-ux)<a href="https://agentmods.dev/skills/hxy91819/mason-skills/improving-mobile-product-ux"><img src="https://agentmods.dev/badge/skills/hxy91819/mason-skills/improving-mobile-product-ux/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/hxy91819/mason-skills/improving-mobile-product-ux"><img src="https://agentmods.dev/badge/skills/hxy91819/mason-skills/improving-mobile-product-ux.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 | $0.00053 | $0.00745 |
| Opus 5.5 | $0.00021 | $0.00298 |
| Sonnet 5.5 | $0.00011 | $0.00149 |
| Haiku 4.5 | $0.00005 | $0.00075 |
Grade A, and why
improving-mobile-product-ux 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.
What it actually says
逐项改善移动端产品体验
读取移动端体验审计 HTML 报告和其中的真实截图，按照报告中的问题顺序挨个修改。每项修改都要同时确认手机体验和桌面端没有被破坏；桌面端允许因共享改动获得有意的设计优化。
固定复查基准
- 手机：iPhone 16，
393 × 852CSS px；iPhone 17，402 × 874CSS px。 - 桌面：
1920 × 1080CSS px。 - 修改前后使用相同路径、角色、数据、页面状态、滚动位置和浏览器缩放；截图必须来自真实浏览器。
大列表与查询
当列表可能持续增长，或一次渲染全部记录已经造成页面过长、滚动或性能问题时，优先让后端执行分页和搜索。移动端与桌面端共用同一套权限、资格判断、稳定排序和查询参数；前端只渲染当前页并处理加载、空结果和错误状态。不要只用收合、限高或 overflow 把完整数据藏起来。
每次处理一个问题：
- 确认问题编号、进入路径、角色和修改前截图；在改代码前额外截取该页面的桌面基线（
1920 × 1080）。 - 针对这个问题完成修改，并进行相关行为验证。
- 使用相同的路径、角色和页面状态，在两组手机视口中用真实浏览器复查：
- iPhone 16：
393 × 852CSS px - iPhone 17：
402 × 874CSS px
- iPhone 16：
- 使用相同状态在
1920 × 1080桌面视口复查，检查共享 HTML、CSS、导航、表格、按钮和滚动行为是否被破坏。不能用源码正则或单元测试替代这一项；桌面出现有意的设计优化可以接受。 - 截取手机和桌面的修改后真实页面；确认桌面没有功能、信息层级、布局或交互破坏后，再继续下一个问题。若桌面有意优化，必须在报告中说明原因和范围，并与真正的回归区分开。
输出一份 HTML 对比报告。每个问题包含：
- 原问题和修改说明
- 手机修改前截图与修改后截图
- 桌面（
1920 × 1080）修改前截图与修改后截图 - 使用的路径、角色、页面状态和视口
- 若涉及大列表，记录后端分页／搜索请求与当前页结果的可观察证据
- 验证结果（桌面无破坏；有意优化需单独标注）
前后截图的呈现组件与配对规则（滑块对比为默认，整页长截图并排）见 references/report-format.md。
用户没有指定保存位置时，暂时存放在本地。
What ships with it
2 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.
- 1mo ago First seen · 45 lines · 53 tokens per session scan A 38d5856dedff
improving-mobile-product-ux is a skill published in the GitHub repository hxy91819/mason-skills (3 stars, last pushed yesterday), licensed MIT. It adds 53 tokens to every session and 745 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 2026-09-16.
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