aidp-migrate-job

aidp-migrate-job is a skill for Claude Code from oracle-samples/oracle-aidp-samples. It costs 131 tokens per session (1,961 once invoked), scanned A, original, UPL-1.0.

A two-stage tool for moving Databricks workloads to Oracle AI Data Platform, including notebooks and their dependencies. It rewrites Databricks code, runs tasks on an AIDP cluster, checks results in several ways, and retries failures.

In plain words
What is it for?
Use it to migrate a workload from a manifest, process its dependent notebooks, execute task cells, verify the migration, and retry unsuccessful attempts.
Why use it?
It reduces the manual work involved in transferring notebooks and verifying that they still run correctly on the new platform. The checks help identify execution, logging, Spark, or evaluation problems.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the oracle-ai-data-platform-workbench-databricks-migrator plugin — 10 skills, 4 commands, 2 agents shipped together

Good fit Use it to migrate a workload from a manifest, process its dependent notebooks, execute task cells, verify the migration, and retry unsuccessful attempts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/oracle-samples/oracle-aidp-samples/aidp-migrate-job
Install

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.

Any agent
npx skills add oracle-samples/oracle-aidp-samples --skill aidp-migrate-job
Clone the repo
git clone --depth 1 https://github.com/oracle-samples/oracle-aidp-samples

Made for: Claude Code.

Or install oracle-ai-data-platform-workbench-databricks-migrator, the plugin that ships this one along with the rest of its 10 skills, 4 commands, 2 agents.

Wrote 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.

agentmods badge for aidp-migrate-job

README.md
[![agentmods](https://agentmods.dev/badge/skills/oracle-samples/oracle-aidp-samples/aidp-migrate-job/github.svg)](https://agentmods.dev/skills/oracle-samples/oracle-aidp-samples/aidp-migrate-job)
Your own site
<a href="https://agentmods.dev/skills/oracle-samples/oracle-aidp-samples/aidp-migrate-job"><img src="https://agentmods.dev/badge/skills/oracle-samples/oracle-aidp-samples/aidp-migrate-job/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.

agentmods 80×15 button for aidp-migrate-job

Your own site · 80×15
<a href="https://agentmods.dev/skills/oracle-samples/oracle-aidp-samples/aidp-migrate-job"><img src="https://agentmods.dev/badge/skills/oracle-samples/oracle-aidp-samples/aidp-migrate-job.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 131 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,961 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00131 $0.01961
Opus 5 $0.00066 $0.00981
Sonnet 5 $0.00026 $0.00392
Haiku 4.5 $0.00013 $0.00196

Measured 10d ago against content hash 87154f790be3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

aidp-migrate-job 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 10d 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.

ai/claude-code-plugins/oracle-ai-data-platform-workbench-databricks-migrator/skills/aidp-migrate-job/SKILL.md · 145 lines

The source is not reproduced here

Licensed UPL-1.0

The repository is licensed UPL-1.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Changes

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.

  1. 10d ago First seen · 145 lines · 131 tokens per session scan A 87154f790be3

Subscribe to this mod's changes

aidp-migrate-job is a skill published in the GitHub repository oracle-samples/oracle-aidp-samples (46 stars, last pushed yesterday), licensed UPL-1.0. It adds 131 tokens to every session and 1,961 once invoked, about $0.0007 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.

Related

Other skills, from other repositories

aeon

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard…

synthetic-sciences/openscience · 74 tokens

hdf5-pde-data-loading

Patterns for loading PDE simulation datasets (PDEBench, PhiFlow, JAX-CFD) from HDF5 files. Handles layout detection (single tensor vs separate variables), spatial/temporal downsampling, multi-variable systems, HuggingFace and DaRUS data sources, and efficient PyTorch DataLoader creation. Use when preparing PDE data…

synthetic-sciences/openscience · 82 tokens

lookml_ingest

Map a LookML view/model/explore into ktx semantic layer sources. Covers the LookML to ktx primitive table, provenance tagging, and three worked examples (overlay, standalone from derivedtable, standalone with sqlalwayswhere). Load when the turn contains .lkml content.

Kaelio/ktx · 63 tokens

sigma_ingest

Extract durable ktx wiki knowledge from staged Sigma data model specs and workbook summaries. Load for WorkUnits with unitKey sigma-data-models or sigma-workbooks.

Kaelio/ktx · 36 tokens

markitdown

Convert files and office documents to Markdown. Supports PDF, DOCX, PPTX, XLSX, images (with OCR), audio (with transcription), HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs and more.

synthetic-sciences/openscience · 53 tokens

cosmos-dbt-core

Turns a dbt Core project into an Airflow DAG/TaskGroup using Astronomer Cosmos. Use turning a dbt Core project into an Airflow DAG or TaskGroup with Astronomer Cosmos. Before implementing, verify dbt engine, warehouse, Airflow version, execution environment, DAG vs TaskGroup, and manifest availability.

astronomer/agents · 73 tokens