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 metabase/agent-skills --skill metabase-full-app-to-modular-embedding-upgradegit 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-full-app-to-modular-embedding-upgrade)<a href="https://agentmods.dev/skills/metabase/agent-skills/metabase-full-app-to-modular-embedding-upgrade"><img src="https://agentmods.dev/badge/skills/metabase/agent-skills/metabase-full-app-to-modular-embedding-upgrade/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/metabase/agent-skills/metabase-full-app-to-modular-embedding-upgrade"><img src="https://agentmods.dev/badge/skills/metabase/agent-skills/metabase-full-app-to-modular-embedding-upgrade.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 4 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00055 | $0.05784 |
| Opus 5 | $0.00028 | $0.02892 |
| Sonnet 5 | $0.00011 | $0.01157 |
| Haiku 4.5 | $0.00006 | $0.00578 |
Grade A, and why
metabase-full-app-to-modular-embedding-upgrade 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 11d 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 — 444 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Execution contract
Follow the workflow steps in order — do not skip any step. Create the checklist first, then execute each step and explicitly mark it done with evidence. Each step's output feeds into the next, so skipping steps produces wrong migrations.
If you cannot complete a step due to missing info or tool failure, you must:
- record the step as ❌ blocked,
- explain exactly what is missing / what failed,
- stop (do not proceed to later steps).
Required output structure
Your response should contain these sections in this order:
- Step 0: Metabase Version Detection
- Step 0.1: Migration Plan Checklist
- Step 1: Project Scan
- Step 2: iframe Analysis & Web Component Mapping
- Step 3: Migration Plan
- Step 4: Applied Code Changes
- Step 5: Validation
- Step 6: Final Summary
Each step section should end with a status line:
Status: ✅ completeorStatus: ❌ blocked
Steps are sequential — do not start a step until the previous one is ✅ complete.
Evidence requirements
- Step 0: Metabase version detected (source: Docker tag, env var, or user answer).
- Step 1: every matched file path, every iframe location, SSO endpoint, layout/head file, Metabase config variables.
- Step 2: per iframe — parsed URL, content type, ID, hash params, mapped web component with attributes.
- Step 3: the complete file-by-file change plan with exact old/new code.
- Step 4: per file — what was changed and exact diffs applied.
- Step 5: each validation check's pass/fail result with evidence.
Architectural conformance
Follow the app's existing architecture, template engine, layout/partial system, code style, and route patterns. Do not switch paradigms (e.g., templates to inline HTML or vice versa). If the app has middleware for shared template variables, prefer that over duplicating across route handlers.
Performance
- Maximize parallelism within each step. Use parallel Grep/Glob/Read calls in a single message wherever possible.
- Do not use sub-agents for project scanning — results need to stay in the main context for cross-referencing in later steps.
- Do not parse repo branches, commits, PRs, or issues.
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.
- 11d ago First seen · 444 lines · 55 tokens per session scan A d5c4f440c4c2
metabase-full-app-to-modular-embedding-upgrade is a skill published in the GitHub repository metabase/agent-skills (42 stars, last pushed 16d ago), licensed MIT. It adds 55 tokens to every session and 5,784 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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