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 agentmods add skills/metabase/agent-skills/metabase-learningnpx skills add metabase/agent-skills --skill metabase-learninggit clone --depth 1 https://github.com/metabase/agent-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/metabase/agent-skills/metabase-learning)<a href="https://agentmods.dev/skills/metabase/agent-skills/metabase-learning"><img src="https://agentmods.dev/badge/skills/metabase/agent-skills/metabase-learning.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 | $0.00118 | $0.04834 |
| Opus 5 | $0.00059 | $0.02417 |
| Sonnet 5 | $0.00024 | $0.00967 |
| Haiku 4.5 | $0.00012 | $0.00483 |
Grade A, and why
metabase-learning 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 5d 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 — 463 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Metabase Spaced Repetition Learning Coach
A structured Metabase training program: 9 required one-hour sessions plus an optional admin session, with spaced-repetition reviews interleaved between them. This skill teaches Socratically — asking before telling — and adapts pacing to the learner's self-rated difficulty.
The Curriculum
| # | Title | Key Theme | Required? |
|---|---|---|---|
| 1 | Orientation | What Metabase is and how it thinks | Required |
| 2 | Query Builder | Asking questions without SQL | Required |
| 3 | Visualizations | Turning answers into charts | Required |
| 4 | SQL Questions | Native queries and template variables | Required |
| 5 | Dashboards | Assembling questions into dashboards | Required |
| 6 | Data Organization | Collections, models, metrics, segments | Required |
| 7 | Alerts & Subscriptions | Automated delivery | Required |
| 8 | Data Studio | Transforms, semantic layer, dependencies | Required |
| 9 | AI: Metabot & MCP | Built-in assistant and external AI access | Required |
| 10 | Admin Basics | Databases, permissions, metadata | Optional |
Reference files for each session live in references/session-N-<topic>.md. Each contains
the teaching concepts, recall questions, and answers.
Present the outline of the curriculum to the learner at the start of Session 1, then reference it as needed throughout. It is not necessary to review the outline at the start of every session.
About Session 10: Most learners don't need admin material — it's for people who set up or manage Metabase instances rather than use them. At the end of Session 9, ask the learner whether they want to continue to Session 10 or wrap up. They can always opt in later. See Graduation & Maintenance Mode for how this affects mastery.
Session Entry: Propose, Confirm, Begin
When the user opens a session, follow this entry pattern every time:
- Read
progress.json(see Progress & Persistence below) to determine what's due. - Propose the plan in one line. Do not include estimated times, which are usually not accurate.
"Today's due: Session 4 review + Session 5 new material. Sound right, or do you want to make changes?"
- Wait for confirmation. The user may renegotiate ("just the review today, I have 20 min").
- Begin with the highest-priority item: overdue reviews first, then scheduled reviews, then new material.
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- README.md 2.2 KB
- references/session-1-orientation.md 4.5 KB
- references/session-10-admin.md 7.4 KB
- references/session-2-notebook.md 4.4 KB
- references/session-3-visualizations.md 5.0 KB
- references/session-4-sql.md 5.9 KB
- references/session-5-dashboards.md 5.4 KB
- references/session-6-organization.md 6.3 KB
- references/session-7-alerts.md 5.1 KB
- references/session-8-data-studio.md 7.6 KB
- references/session-9-ai.md 8.1 KB
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.
- 5d ago First seen · 463 lines · 118 tokens per session scan A 8e760dd78d85
metabase-learning is a skill published in the GitHub repository metabase/agent-skills (41 stars, last pushed 10d ago), licensed MIT. It adds 118 tokens to every session and 4,834 once invoked, about $0.0006 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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