Borrowing it
Nothing to install: this file belongs to alessandro9110/Speech-To-Text-With-Databricks. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/alessandro9110/Speech-To-Text-With-Databricks/main/.claude/skills/databricks-aibi-dashboards/SKILL.mdgit clone --depth 1 https://github.com/alessandro9110/Speech-To-Text-With-DatabricksWrote 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/alessandro9110/speech-to-text-with-databricks/databricks-aibi-dashboards)<a href="https://agentmods.dev/skills/alessandro9110/speech-to-text-with-databricks/databricks-aibi-dashboards"><img src="https://agentmods.dev/badge/skills/alessandro9110/speech-to-text-with-databricks/databricks-aibi-dashboards/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/alessandro9110/speech-to-text-with-databricks/databricks-aibi-dashboards"><img src="https://agentmods.dev/badge/skills/alessandro9110/speech-to-text-with-databricks/databricks-aibi-dashboards.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 | $0.00037 | $0.07772 |
| Opus 5.5 | $0.00015 | $0.03109 |
| Sonnet 5.5 | $0.00007 | $0.01554 |
| Haiku 4.5 | $0.00004 | $0.00777 |
Grade A, and why
databricks-aibi-dashboards 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 1mo 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 — 922 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI/BI Dashboard Skill
Create Databricks AI/BI dashboards (formerly Lakeview dashboards). Follow these guidelines strictly.
CRITICAL: MANDATORY VALIDATION WORKFLOW
You MUST follow this workflow exactly. Skipping validation causes broken dashboards.
┌─────────────────────────────────────────────────────────────────────┐
│ STEP 1: Get table schemas via get_table_details(catalog, schema) │
├─────────────────────────────────────────────────────────────────────┤
│ STEP 2: Write SQL queries for each dataset │
├─────────────────────────────────────────────────────────────────────┤
│ STEP 3: TEST EVERY QUERY via execute_sql() ← DO NOT SKIP! │
│ - If query fails, FIX IT before proceeding │
│ - Verify column names match what widgets will reference │
│ - Verify data types are correct (dates, numbers, strings) │
├─────────────────────────────────────────────────────────────────────┤
│ STEP 4: Build dashboard JSON using ONLY verified queries │
├─────────────────────────────────────────────────────────────────────┤
│ STEP 5: Deploy via create_or_update_dashboard() │
└─────────────────────────────────────────────────────────────────────┘
WARNING: If you deploy without testing queries, widgets WILL show "Invalid widget definition" errors!
Available MCP Tools
| Tool | Description |
|---|---|
get_table_details |
STEP 1: Get table schemas for designing queries |
execute_sql |
STEP 3: Test SQL queries - MANDATORY before deployment! |
get_best_warehouse |
Get available warehouse ID |
create_or_update_dashboard |
STEP 5: Deploy dashboard JSON (only after validation!) |
get_dashboard |
Get dashboard details by ID, or list all dashboards (omit dashboard_id) |
delete_dashboard |
Move dashboard to trash |
publish_dashboard |
Publish (publish=True) or unpublish (publish=False) a dashboard |
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.
- 1mo ago First seen · 922 lines · 37 tokens per session scan A e082fd22597d
databricks-aibi-dashboards is a skill published in the GitHub repository alessandro9110/Speech-To-Text-With-Databricks (4 stars, last pushed 8mo ago), licensed MIT. It adds 37 tokens to every session and 7,772 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-02.
databricks-aibi-dashboards compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| databricks-aibi-dashboardsalessandro9110/Speech-To-Text-With-Databricks | Skill | 4 | 8mo ago | MIT | A | 37 | Claude Code |
| databricks-expertpersonamanagmentlayer/pcl | Skill | 44 | 11d ago | Apache-2.0 | A | 74 | Claude Code |
| datacoolie-builddatacoolie/datacoolie | Skill | 11 | 15d ago | AGPL-3.0 | A | 57 | Codex |
| datacoolie-designdatacoolie/datacoolie | Skill | 11 | 15d ago | AGPL-3.0 | A | 46 | Claude Code, Codex |
| adversarial-ml-evasionPurpleAILAB/Decepticon | Skill | 6.5k | 8d ago | Apache-2.0 | A | 36 | Claude Code |
| llm-redteam-overviewPurpleAILAB/Decepticon | Skill | 6.5k | 8d ago | Apache-2.0 | A | 58 | Claude Code |
| misinformationPurpleAILAB/Decepticon | Skill | 6.5k | 8d ago | Apache-2.0 | A | 49 | Claude Code, Codex |