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 JosiahSiegel/claude-plugin-marketplace --skill databricks-2025git clone --depth 1 https://github.com/JosiahSiegel/claude-plugin-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/josiahsiegel/claude-plugin-marketplace/databricks-2025)<a href="https://agentmods.dev/skills/josiahsiegel/claude-plugin-marketplace/databricks-2025"><img src="https://agentmods.dev/badge/skills/josiahsiegel/claude-plugin-marketplace/databricks-2025/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/josiahsiegel/claude-plugin-marketplace/databricks-2025"><img src="https://agentmods.dev/badge/skills/josiahsiegel/claude-plugin-marketplace/databricks-2025.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 | $0.00167 | $0.01577 |
| Opus 5 | $0.00084 | $0.00788 |
| Sonnet 5 | $0.00033 | $0.00315 |
| Haiku 4.5 | $0.00017 | $0.00158 |
Grade A, and why
databricks-2025 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Data Factory Databricks Integration 2025
Databricks Job Activity (Recommended 2025)
CRITICAL UPDATE (2025): The Databricks Job activity is now the ONLY recommended method for orchestrating Databricks in ADF. Microsoft strongly recommends migrating from legacy Notebook, Python, and JAR activities.
Quick Reference
- Activity type:
DatabricksJob(NOTDatabricksSparkJoborDatabricksNotebook) - Parameter property:
jobParameters(NOTparameters) - Linked service auth: Managed Identity (
"authentication": "MSI") recommended - Cluster config: Do NOT specify cluster properties in linked service; the Databricks Job controls compute
Why Databricks Job Activity?
| Feature | Notebook Activity (Legacy) | Job Activity (2025) |
|---|---|---|
| Compute | Must configure cluster in linked service | Serverless by default |
| Workflow tasks | Single notebook | Multi-task DAGs (notebook, Python, SQL, DLT) |
| Retry | ADF-level only | Job-level + task-level |
| Repair runs | Not supported | Rerun failed tasks only |
| Git integration | Limited | Full Databricks Git support + DABs |
| Lineage | None | Built-in data lineage |
| If/Else logic | Must use ADF control flow | Native If/Else task types |
Benefits Summary
- Serverless Execution -- No cluster specification needed; automatic serverless compute with faster startup and lower costs
- Advanced Workflow Features -- Run As, Task Values, Conditional Execution, AI/BI Tasks, Repair Runs, Notifications, Queuing
- Centralized Job Management -- Jobs defined once in Databricks workspace; single source of truth with Git-backed versioning
- Cost Optimization -- Serverless compute (pay only for execution), job clusters (auto-terminating), spot instance support
For complete JSON examples of Job activity, linked service, and pipeline configurations, see references/databricks-job-examples.md.
Connectors and Enhancements (2025+)
What ships with it
2 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.
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 · 133 lines · 167 tokens per session scan A b9281ae16e41
databricks-2025 is a skill published in the GitHub repository JosiahSiegel/claude-plugin-marketplace (54 stars, last pushed 2mo ago), licensed MIT. It adds 167 tokens to every session and 1,577 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 2026-08-30.
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