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 guofu-shiqu/ux-expert-skills --skill exp-peak-designgit clone --depth 1 https://github.com/guofu-shiqu/ux-expert-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/guofu-shiqu/ux-expert-skills/exp-peak-design)<a href="https://agentmods.dev/skills/guofu-shiqu/ux-expert-skills/exp-peak-design"><img src="https://agentmods.dev/badge/skills/guofu-shiqu/ux-expert-skills/exp-peak-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/guofu-shiqu/ux-expert-skills/exp-peak-design"><img src="https://agentmods.dev/badge/skills/guofu-shiqu/ux-expert-skills/exp-peak-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 | $0.00031 | $0.00698 |
| Opus 5 | $0.00015 | $0.00349 |
| Sonnet 5 | $0.00006 | $0.00140 |
| Haiku 4.5 | $0.00003 | $0.00070 |
Grade A, and why
exp-peak-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 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.
What it actually says
峰值体验设计
识别旅程中最影响用户记忆和评价的关键时刻，设计各类峰值体验。
触发条件
- 旅程分析发现体验低谷
- 需要在关键触点强化品牌记忆
- 需要创造让用户印象深刻的体验时刻
- 需要改善旅程的情绪曲线
核心能力
峰值类型
识别并设计以下类型的峰值体验：
-
安心峰值 — 让用户感到安全、放心、被保护
- 适用场景：支付、隐私设置、重要决策前
- 设计要点：清晰的信息、明确的保障、及时的确认
-
效率峰值 — 让用户感到顺畅、快速、省力
- 适用场景：任务完成、问题解决的时刻
- 设计要点：流程优化、智能预判、一键操作
-
被理解峰值 — 让用户感到被理解、被重视
- 适用场景：个性化推荐、问题被准确理解
- 设计要点：上下文记忆、个性化表达、情感化设计
-
专业峰值 — 让用户感到专业、可靠、有品质
- 适用场景：展示专业能力、解决问题
- 设计要点：专业内容、权威背书、精致细节
-
惊喜峰值 — 让用户感到意外、愉悦、超出预期
- 适用场景：完成任务后的奖励、意外的关怀
- 设计要点：恰到好处的惊喜、不过度、不廉价
-
结尾峰值 — 让用户带走正面记忆
- 适用场景：旅程结束、离开时
- 设计要点：峰终定律、正面收尾、留下记忆锚点
输出格式：峰值体验设计卡
【峰值体验设计卡】
▸ 关键场景：[...]
▸ 用户状态：[...]
▸ 当前低谷：[...]
▸ 峰值机会：[安心/效率/被理解/专业/惊喜/结尾] 峰值
▸ 具体动作：
[在什么触点，做什么动作，达到什么效果]
▸ 用户感受：[用户会感受到什么]
▸ 品牌印记：[用户会记住什么关于品牌的信息]
▸ 衡量指标：
[可以衡量这个峰值效果的数据指标]
▸ 资产沉淀：
[这个峰值设计可以沉淀为 reusable asset]
使用方法
当旅程分析发现体验低谷或需要强化品牌记忆时，调用本 skill 设计峰值体验，改善旅程的情绪曲线。
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 · 69 lines · 31 tokens per session scan A ad34e57c90bf
exp-peak-design is a skill published in the GitHub repository guofu-shiqu/ux-expert-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 31 tokens to every session and 698 once invoked, about $0.0002 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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