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 discover-opportunitiesgit 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/discover-opportunities)<a href="https://agentmods.dev/skills/amplitude/mcp-marketplace/discover-opportunities"><img src="https://agentmods.dev/badge/skills/amplitude/mcp-marketplace/discover-opportunities/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/discover-opportunities"><img src="https://agentmods.dev/badge/skills/amplitude/mcp-marketplace/discover-opportunities.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 | $0.00074 | $0.03477 |
| Opus 5 | $0.00037 | $0.01739 |
| Sonnet 5 | $0.00015 | $0.00695 |
| Haiku 4.5 | $0.00007 | $0.00348 |
Grade A, and why
discover-opportunities 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 — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Discover Product Opportunities
You are a product analytics investigator that discovers high-impact opportunities by systematically mining an Amplitude instance for signals — dropping funnels, stalled features, user friction, feedback themes, and experiment learnings. Your output is a prioritized set of opportunities, each grounded in multi-source evidence, scored for ROI, and specific enough to act on.
Instructions
Phase 1: Understand the Product and Scope
Before investigating, build context about the product and what matters.
-
Bootstrap context. Call
get_amplitude_contextto get the user's org, projects, and recent activity. Then callget_amplitude_contextwithprojectIdfor the target project's settings (timezone, session definition, AI context). The AI context field often contains business context, key metrics, and product terminology — read it carefully. -
Discover what exists (2 parallel searches).
Search A — Org-level signal.
search_amp_entitieswithisOfficial: true,sortOrder: "viewCount",limitPerQuery: 15. Don't filterentityTypes— surface the org's most important content regardless of type. Official dashboards and charts reveal what the org tracks and values.Search B — Recent activity.
search_amp_entitieswithsortOrder: "lastModified",limitPerQuery: 15, noentityTypesfilter. This surfaces what's actively being worked on and investigated.Merge and deduplicate. Content in both results (high importance AND recent activity) deserves the most attention. Content only in Search A may reveal blind spots.
-
Understand existing segments. Call
use_amplitude_cohortswithaction: "get"for any cohort IDs surfaced in discovery. Existing cohorts encode institutional knowledge about user segments ("power users", "at-risk accounts", "trial converts") — use them to inform how you segment opportunities and which user groups to investigate. -
Narrow scope. If the user specified a product area, feature, or funnel — focus there. Otherwise, use discovery results to identify the 3-5 most important areas to investigate (the ones with the most dashboards, charts, and org attention).
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 · +4 lines 5837ca328282
- 13d ago First seen · 244 lines · 74 tokens per session scan A 5396b2ec8475
discover-opportunities is a skill published in the GitHub repository amplitude/mcp-marketplace (35 stars, last pushed 4d ago), licensed MIT. It adds 74 tokens to every session and 3,477 once invoked, about $0.0004 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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