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 rules/revodatanl/databricks-mcp-server/job-configurationgit clone --depth 1 https://github.com/revodatanl/databricks-mcp-serverWrote 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/rules/revodatanl/databricks-mcp-server/job-configuration)<a href="https://agentmods.dev/rules/revodatanl/databricks-mcp-server/job-configuration"><img src="https://agentmods.dev/badge/rules/revodatanl/databricks-mcp-server/job-configuration.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 | $0.00017 | $0.00536 |
| Opus 5 | $0.00009 | $0.00268 |
| Sonnet 5 | $0.00003 | $0.00107 |
| Haiku 4.5 | $0.00002 | $0.00054 |
Grade A, and why
job-configuration scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
- Use a Job to orchestrate scheduled or multi-step workflows in Databricks.
-
Define jobs in YAML under the
resources/jobs/directory. -
Example: Simple Scheduled Job
resources: jobs: daily_data_job: name: "${bundle.target}-daily-data-processing" trigger: periodic: interval: 1 unit: DAYS pause_status: UNPAUSED email_notifications: on_failure: - ${workspace.current_user.userName} tasks: - task_key: process_data job_cluster_key: main_cluster notebook_task: notebook_path: ../src/process_data.ipynb base_parameters: environment: ${bundle.target} job_clusters: - job_cluster_key: main_cluster new_cluster: spark_version: 15.4.x-scala2.12 node_type_id: i3.xlarge num_workers: 2 -
Example: Multi-Task Job with Dependencies
resources: jobs: etl_workflow: name: "${bundle.target}-etl-workflow" trigger: manual: {} tasks: - task_key: extract job_cluster_key: main_cluster notebook_task: notebook_path: ../src/extract.ipynb - task_key: transform depends_on: - task_key: extract job_cluster_key: main_cluster notebook_task: notebook_path: ../src/transform.ipynb - task_key: load depends_on: - task_key: transform job_cluster_key: main_cluster notebook_task: notebook_path: ../src/load.ipynb job_clusters: - job_cluster_key: main_cluster new_cluster: spark_version: 15.4.x-scala2.12 node_type_id: i3.xlarge autoscale: min_workers: 1 max_workers: 4 -
Essential job fields:
name: Display name (should include"${bundle.target}-job-name")trigger: periodic, manual, or continuoustasks: notebook_task, python_wheel_task, pipeline_task, sql_taskjob_clusters: compute resourcesemail_notifications: on_success, on_failure
-
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.
- 4d ago First seen · 80 lines · 17 tokens per session scan A 311f10806a5b
job-configuration is a cursor rule published in the GitHub repository revodatanl/databricks-mcp-server (7 stars, last pushed 1mo ago), licensed MIT. It adds 17 tokens to every session and 536 once invoked, about $0.0001 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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