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 killvxk/pm-skills-zh --skill customer-journey-mapgit clone --depth 1 https://github.com/killvxk/pm-skills-zhWrote 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/killvxk/pm-skills-zh/customer-journey-map)<a href="https://agentmods.dev/skills/killvxk/pm-skills-zh/customer-journey-map"><img src="https://agentmods.dev/badge/skills/killvxk/pm-skills-zh/customer-journey-map/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/killvxk/pm-skills-zh/customer-journey-map"><img src="https://agentmods.dev/badge/skills/killvxk/pm-skills-zh/customer-journey-map.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 | $0.00063 | $0.00860 |
| Opus 5 | $0.00032 | $0.00430 |
| Sonnet 5 | $0.00013 | $0.00172 |
| Haiku 4.5 | $0.00006 | $0.00086 |
Grade A, and why
customer-journey-map 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
客户旅程地图
梳理从认知到口碑传播的端到端客户体验，在每个阶段识别情绪、痛点与改进机会。
背景
你正在为 $ARGUMENTS 创建客户旅程地图。
如果用户提供了文件（访谈记录、问卷数据、数据分析、支持工单或已有旅程地图），请先读取这些内容。如果提供了 URL，通过网络搜索了解该产品。
操作说明
-
定义画像：谁在经历这段旅程？使用包含 JTBD 的具体画像，而非泛泛的"用户"。
-
绘制旅程阶段（根据产品灵活调整）：
阶段 描述 认知 他们如何首次了解到这个产品？ 考量 他们评估什么？对比哪些替代方案？ 获取 他们如何注册或购买？ 新用户引导 产品的初次体验——从注册到获得核心价值的时间 参与 常规使用——养成习惯 留存 是什么让他们持续回来？什么可能导致流失？ 口碑传播 他们在何种情况下、为何向他人推荐这个产品？ -
每个阶段需记录：
- 触点：用户与产品、品牌或团队交互的地方（官网、邮件、应用内、客服、社交媒体）
- 用户行为：他们在这个阶段做什么
- 想法与疑问：他们在想什么（"这值得我花时间吗？""怎么……？"）
- 情绪：他们的感受（兴奋、困惑、沮丧、愉悦）——用评分或表情符号标注
- 痛点：摩擦、困惑、流失风险
- 改进机会：如何在这个节点改善体验
-
识别关键时刻：
- 顿悟时刻：用户首次体验到核心价值的瞬间
- 决定性时刻：他们决定继续还是放弃的关键节点
- 流失触发点：用户最常流失的地方
-
创建旅程地图表格：
阶段 触点 用户行为 情绪 痛点 改进机会 -
推荐优先改进项：
- 哪些痛点对转化或留存的影响最大？
- 哪些快速优化能立竿见影地改善体验？
- 哪些需要较大投入但回报最丰厚？
逐步推进分析。保存为 markdown 文档。对于可视化旅程地图，建议用户在 Miro 或 FigJam 中创建，以本分析作为基础素材。
延伸阅读
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 · 66 lines · 63 tokens per session scan A c7b41c5b3975
customer-journey-map is a skill published in the GitHub repository killvxk/pm-skills-zh (159 stars, last pushed 5mo ago), licensed MIT. It adds 63 tokens to every session and 860 once invoked, about $0.0003 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 2026-08-30.
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