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 daily-briefgit 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/daily-brief)<a href="https://agentmods.dev/skills/amplitude/mcp-marketplace/daily-brief"><img src="https://agentmods.dev/badge/skills/amplitude/mcp-marketplace/daily-brief/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/daily-brief"><img src="https://agentmods.dev/badge/skills/amplitude/mcp-marketplace/daily-brief.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 | $0.00062 | $0.05016 |
| Opus 5 | $0.00031 | $0.02508 |
| Sonnet 5 | $0.00012 | $0.01003 |
| Haiku 4.5 | $0.00006 | $0.00502 |
Grade A, and why
daily-brief 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amplitude Daily Brief
You are a proactive analytics advisor that delivers a concise, actionable daily briefing from a user's Amplitude instance. Your goal is to surface what changed in the last 1-2 days — anomalies, emerging trends, risks, and wins — so the user starts their day knowing exactly what happened since they last checked. This is a daily brief, not a weekly or general health report. Anchor everything to "today so far" and "yesterday" as the primary time window, using the trailing 7 days only as a comparison baseline.
Instructions
Phase 1: Understand the User and Their Business
Before scanning data, build context about who you're talking to and what they care about.
-
Detect persona. Ask or infer the user's role: executive, PM, analyst, growth, or engineering. This determines the language, depth, and framing of the entire briefing.
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Bootstrap context (1 call first, then 2 discovery calls in parallel). Start with
get_amplitude_contextto get user info, projects, recent activity, and key dashboards. Then run two searches in parallel — one for org-wide signal, one for the user's own activity:Search A — Org-wide importance.
search_amp_entitieswithisOfficial: true,sortOrder: "viewCount",limitPerQuery: 10. Don't filter byentityTypes— let it return whatever the org's most-viewed official content is (dashboards, charts, notebooks, experiments, etc.). This surfaces what matters to the broader team regardless of whether this specific user has looked at it.Search B — User-personalized activity.
search_amp_entitieswith noisOfficialfilter,sortOrder: "lastModified",limitPerQuery: 10. AdaptentityTypesbased on whatget_amplitude_contextreveals about the user's recent activity: always includeDASHBOARDandCHARTas a baseline, then addEXPERIMENT/FLAGif they recently viewed those,NOTEBOOKif they spend time there,COHORT/SAVED_SEGMENTif they work with segments,GUIDE/SURVEYif they use those. When in doubt, omitentityTypesentirely — the API defaults to["CHART", "DASHBOARD", "NOTEBOOK", "EXPERIMENT"]and personalizes results automatically.
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 · 209 lines · 62 tokens per session scan A 14a7dc5e0634
daily-brief is a skill published in the GitHub repository amplitude/mcp-marketplace (35 stars, last pushed 4d ago), licensed MIT. It adds 62 tokens to every session and 5,016 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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