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 OneWave-AI/claude-skills --skill customer-journey-mappergit clone --depth 1 https://github.com/OneWave-AI/claude-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/onewave-ai/claude-skills/customer-journey-mapper)<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/customer-journey-mapper"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/customer-journey-mapper/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/onewave-ai/claude-skills/customer-journey-mapper"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/customer-journey-mapper.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 | $0.00065 | $0.00759 |
| Opus 5 | $0.00032 | $0.00380 |
| Sonnet 5 | $0.00013 | $0.00152 |
| Haiku 4.5 | $0.00006 | $0.00076 |
Grade A, and why
customer-journey-mapper 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 — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Customer Journey Mapper
Produce a comprehensive, actionable customer journey map spanning every stage from initial awareness through long-term advocacy.
Contents
references/journey-stages.md— the seven stages and the dimensions to analyze for eachreferences/output-template.md— exact structure for the generatedcustomer-journey.mdreferences/mermaid-diagrams.md— both required Mermaid diagrams and the satisfaction scoring guidereferences/examples.md— invocation examples, research protocol, and ambiguity handling
Workflow
-
Collect inputs. Gather Product/Service, Target Persona, Touchpoints (optional), and Channels. When any are missing, infer reasonable values and document the assumptions at the top of the output. Ask one clarifying question only when the product type is genuinely unclear.
-
Research context. Use WebSearch to ground the map in real reviews, complaints, competitor comparisons, and industry patterns. See
references/examples.mdfor the research protocol. -
Map all seven stages. Build a detailed stage-by-stage analysis covering Awareness, Consideration, Decision, Onboarding, Retention, Expansion, and Advocacy. See
references/journey-stages.mdfor the dimensions to cover per stage. -
Identify opportunities. Surface pain points, emotional states, and improvement opportunities at every stage. Include honest friction even in generally positive stages, and cross-reference how one stage's issues create downstream effects.
-
Generate the deliverable. Write
customer-journey.mdto the current working directory followingreferences/output-template.md. Include both Mermaid diagrams perreferences/mermaid-diagrams.md.
Required Inputs
| Input | Description | Example |
|---|---|---|
| Product/Service | What is being sold or offered | "B2B SaaS project management tool" |
| Target Persona | Who the primary customer is | "VP of Engineering at mid-market companies, 200-1000 employees" |
| Touchpoints | Known interaction points (optional) | "Google search, blog, demo request, sales call, onboarding email sequence" |
| Channels | Active marketing/sales/support channels | "Website, email, LinkedIn, phone, in-app, Slack community" |
What ships with it
4 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.
- 12d ago First seen · 51 lines · 65 tokens per session scan A a359cbfc127d
customer-journey-mapper is a skill published in the GitHub repository OneWave-AI/claude-skills (291 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 759 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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