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 rameerez/claude-code-startup-skills --skill customer-empathygit clone --depth 1 https://github.com/rameerez/claude-code-startup-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/rameerez/claude-code-startup-skills/customer-empathy)<a href="https://agentmods.dev/skills/rameerez/claude-code-startup-skills/customer-empathy"><img src="https://agentmods.dev/badge/skills/rameerez/claude-code-startup-skills/customer-empathy.svg" alt="Measured on agentmods" 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 | $0.00036 | $0.00528 |
| Opus 5 | $0.00018 | $0.00264 |
| Sonnet 5 | $0.00007 | $0.00106 |
| Haiku 4.5 | $0.00004 | $0.00053 |
Grade A, and why
customer-empathy 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 8d 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Customer Empathy Exercise
Pause and deeply empathize with your users before continuing any work. Think through these questions to clarify who you're building for and how to serve them best.
The Customer
Who is our ideal customer?
- What's their role, context, situation?
- What brings them to us right now?
What job are they trying to get done?
- What's the outcome they actually want?
- What would "done" look like for them?
Their Journey
What's their mental state at each step of the way before getting to this point?
- What are they feeling when they first arrive?
- What questions are in their head?
- Where might they feel confused, frustrated, or stuck?
- When do they feel momentum and progress?
What do they care about?
- What matters most to them right now?
- What would make them think "yes! This is it!"?
What do they NOT care about?
- What features/details are we obsessing over that they'd skip right past?
- What complexity can we remove entirely?
Delivering Value
How can we best help them?
- What's the single most valuable thing we can do for them?
How do we make them succeed?
- What does success look like from their perspective?
- What's blocking them from getting there RIGHT NOW?
How do we make their lives easier?
- What friction can we eliminate?
- What can we automate or do for them?
The Magic
How do we get them to the "aha" moment as fast and easily as humanly possible?
- What IS the "aha" moment?
- What's the shortest path to it?
- What's currently in the way?
How can we delight them most?
- What would make them smile or say "wow!"?
- What unexpected value could we add?
How can we make this as seamless and magical as humanly possible?
- What if this just... worked?
- What would "effortless" look like?
How can we make them "wow!" and provide MOST of the value in the SHORTEST time with the LOWEST effort?
- What's our 80/20?
- What's the minimum they need to do to get maximum value?
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.
- 8d ago First seen · 71 lines · 36 tokens per session scan A ed629ab68457
customer-empathy is a skill published in the GitHub repository rameerez/claude-code-startup-skills (29 stars, last pushed 6mo ago), licensed MIT. It adds 36 tokens to every session and 528 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 2026-08-30.
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