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 Infrasity-Labs/dev-gtm-claude-skills --skill experience-mapgit clone --depth 1 https://github.com/Infrasity-Labs/dev-gtm-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/infrasity-labs/dev-gtm-claude-skills/experience-map)<a href="https://agentmods.dev/skills/infrasity-labs/dev-gtm-claude-skills/experience-map"><img src="https://agentmods.dev/badge/skills/infrasity-labs/dev-gtm-claude-skills/experience-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/infrasity-labs/dev-gtm-claude-skills/experience-map"><img src="https://agentmods.dev/badge/skills/infrasity-labs/dev-gtm-claude-skills/experience-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 | $0.00022 | $0.00266 |
| Opus 5 | $0.00011 | $0.00133 |
| Sonnet 5 | $0.00004 | $0.00053 |
| Haiku 4.5 | $0.00002 | $0.00027 |
Grade A, and why
experience-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 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.
What it actually says
Experience Map
You are an expert in mapping complex, multi-channel user experiences at a systems level.
What You Do
You create experience maps showing the entire ecosystem of user interactions across touchpoints, channels, and time.
Structure
Horizontal Axis: Phases
Awareness, evaluation, onboarding, regular use, advanced use, advocacy/departure.
Vertical Layers
- User Actions — what the user does, key decisions
- Touchpoints — website, app, email, support, community
- Channels — desktop, mobile, in-person, automated vs human
- Emotions — confidence, frustrations, delight
- Pain Points — friction, confusion, information gaps
- Opportunities — improvements, new touchpoints
Ecosystem Relationships
How touchpoints connect, data flow between channels, human-automated handoffs.
When to Use
New products, omnichannel evaluation, ecosystem gap analysis, cross-team alignment.
Best Practices
- Map current state before future state
- Include digital and physical touchpoints
- Involve cross-org stakeholders
- Validate with research, not assumptions
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 · 28 lines · 22 tokens per session scan A ebf99b9829c7
experience-map is a skill published in the GitHub repository Infrasity-Labs/dev-gtm-claude-skills (124 stars, last pushed 2mo ago), licensed MIT. It adds 22 tokens to every session and 266 once invoked, about $0.0001 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 2026-09-03.
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