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 amplitude/mcp-marketplace --skill compare-user-journeysgit clone --depth 1 https://github.com/amplitude/mcp-marketplaceWrote 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/amplitude/mcp-marketplace/compare-user-journeys)<a href="https://agentmods.dev/skills/amplitude/mcp-marketplace/compare-user-journeys"><img src="https://agentmods.dev/badge/skills/amplitude/mcp-marketplace/compare-user-journeys/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/amplitude/mcp-marketplace/compare-user-journeys"><img src="https://agentmods.dev/badge/skills/amplitude/mcp-marketplace/compare-user-journeys.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 | $0.00098 | $0.03463 |
| Opus 5 | $0.00049 | $0.01732 |
| Sonnet 5 | $0.00020 | $0.00693 |
| Haiku 4.5 | $0.00010 | $0.00346 |
Grade A, and why
compare-user-journeys 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 7d 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 — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compare User Journeys
Investigate what distinguishes two user groups by pulling session replays and metrics for each, then producing a behavioral diff. This skill answers "what do winners do differently?" with concrete evidence from real sessions.
CRITICAL: Tool Reference
Primary tools:
Amplitude:get_amp_session_replay_infowithaction: "search"— Find sessions for each user group using event count filters and user property filters. Run this twice — once per group.Amplitude:get_amp_session_replay_infowithaction: "events"— Decode replays into interaction timelines. Run this for sessions from both groups.
Supporting tools:
Amplitude:search_amp_entities— Search for existing charts, funnels, dashboards, and cohorts relevant to the comparison. Always check for existing analysis before building from scratch.Amplitude:use_amplitude_cohortswithaction: "list"— Discover existing cohorts that define the groups (e.g., "power users", "churned", "converted").- Available taxonomy reader — Inspect the connected catalog and use its event and property read capabilities to discover valid names and scopes.
Amplitude:get_amplitude_chartswithinclude: "data"— Pull quantitative metrics segmented by the two groups for statistical grounding.Amplitude:use_amplitude_ai_feedbackwithfacet: "insights"/facet: "mentions"— Check if feedback themes differ between groups.
Instructions
Step 1: Define the Two Groups
Parse the user's request to identify Group A and Group B. Common comparison patterns:
| Comparison | Group A | Group B |
|---|---|---|
| Conversion | Users who completed the goal | Users who didn't |
| Engagement | Power users / high-frequency | Casual / low-frequency |
| Retention | Retained users | Churned users |
| Plan tier | Enterprise / paid | Free / trial |
| Outcome | Successful (e.g., activated) | Failed (e.g., dropped off) |
| A/B test | Variant A | Variant B |
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.
- 7d ago Changed 8c50095fb703
- 12d ago First seen · 237 lines · 98 tokens per session scan A e8710cdbc9f5
compare-user-journeys is a skill published in the GitHub repository amplitude/mcp-marketplace (35 stars, last pushed 3d ago), licensed MIT. It adds 98 tokens to every session and 3,463 once invoked, about $0.0005 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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