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 mexmarv/ai-genie-factory --skill databricks-dashboard-colorsgit clone --depth 1 https://github.com/mexmarv/ai-genie-factoryWrote 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/mexmarv/ai-genie-factory/databricks-dashboard-colors)<a href="https://agentmods.dev/skills/mexmarv/ai-genie-factory/databricks-dashboard-colors"><img src="https://agentmods.dev/badge/skills/mexmarv/ai-genie-factory/databricks-dashboard-colors/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/mexmarv/ai-genie-factory/databricks-dashboard-colors"><img src="https://agentmods.dev/badge/skills/mexmarv/ai-genie-factory/databricks-dashboard-colors.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00164 | $0.01983 |
| Opus 5 | $0.00082 | $0.00992 |
| Sonnet 5 | $0.00033 | $0.00397 |
| Haiku 4.5 | $0.00016 | $0.00198 |
Grade A, and why
databricks-dashboard-colors 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI/BI Dashboard Theme — Alpura
Native Lakeview Dashboards render through Databricks' own theme engine, not Plotly/Dash CSS.
Do not reuse @ui-ux-patterns' Python SHADOW/CARD_STYLE dicts here — they don't apply to
Lakeview widgets. Use this skill's tokens in the dashboard's own Settings panel instead.
Provenance: every hex below was read directly from the rendered
Dashboard General de Ventas Brutas production dashboard (computed styles + chart fills),
not invented. Treat it as the reference "good" Alpura dashboard palette — apply it to new
dashboards rather than picking new colors per dashboard.
Where this actually gets enforced
Lakeview dashboards have a real workspace-wide theme, independent of the Genie Code
instructions/skills covered by @databricks-app:
- Workspace-wide (admin, applies to every dashboard by default): Account/workspace Settings → Appearance → AI/BI → Theme. Set canvas colors for light and dark mode, the categorical/visualization palette, fonts, and title alignment once — every new dashboard inherits it, and existing dashboards can "apply workspace theme" to pick it up. This is also reachable via the Settings API for scripted rollout.
- Per-dashboard override: open the draft dashboard → click empty canvas (no widget selected) → right panel → Settings → Theme. The same panel has Light mode / Dark mode toggles to preview and set both variants together.
Set the values below at the workspace level first. Only override per-dashboard when a dashboard has a real reason to diverge (e.g. an embedded exec-only dashboard).
Theme contract
Every dashboard must support both alpura-dashboard-dark (default) and
alpura-dashboard-light. The categorical/visualization palette does not change between
modes — only canvas, widget, border, and text tokens do. Never hand-pick a one-off color in
a widget; set it at the theme level so every dashboard stays consistent.
| Setting (Lakeview Theme panel) | alpura-dashboard-dark |
alpura-dashboard-light |
|---|---|---|
| Canvas background | #12181d |
#f4f7fb |
| Widget background | #12181d (seamless — no elevated cards) |
#ffffff |
| Widget border | #1e2a3a |
#d7e0ea |
| Axis / grid color | #253040 |
#c2ceda |
| Font — Title | #eef1f5 |
#0d1b2a |
| Font — Default (labels, axis, filters) | #8b96a8 |
#40566f |
| Font — Field value (counter/KPI numbers) | #e6edf3 |
#0d1b2a |
| Delta — negative | #f85149 |
#c32645 |
| Delta — neutral/positive pill | bg #242a31, text #d1d4d8 |
bg #edf4fa, text #40566f |
| Primary series (this period) | #00bcd4 |
#007a8a |
| Comparison series (prior period/year) | #7c4dff |
#5b32d6 |
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 · 153 lines · 164 tokens per session scan A 257acdf9ff3b
databricks-dashboard-colors is a skill published in the GitHub repository mexmarv/ai-genie-factory (5 stars, last pushed 1mo ago), licensed MIT. It adds 164 tokens to every session and 1,983 once invoked, about $0.0008 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 2026-08-31.
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