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aidp-fusion-status

Skill from oracle-samples/oracle-aidp-samples

DevOps & Cloud No risky patterns found curated contains scripts pipeline

Install

npx skills add oracle-samples/oracle-aidp-samples --skill aidp-fusion-status

Runs the open skills CLI and installs the skill for your agent (Claude Code, Codex, Cursor …). Alternatively copy the skill folder into .claude/skills/ or upload it in Claude.ai under Settings → Skills.

As a Claude Code plugin

/plugin marketplace add anthropics/claude-plugins-official /plugin install oracle-ai-data-platform-workbench-spark-connectors@claude-plugins-official

This skill is part of the plugin “oracle-ai-data-platform-workbench-spark-connectors”. In Claude Code the plugin installs it together with the plugin’s other skills, commands and hooks.

What does the aidp-fusion-status skill do?

Produce a read-only Fusion-to-AIDP pipeline health and freshness report by comparing run state with live catalog materialization. Use for success, failure, stale, missing, untracked, or rerun questions.

Description from the SKILL.md in the source repository.

Questions about aidp-fusion-status

What does the aidp-fusion-status skill do?

Produce a read-only Fusion-to-AIDP pipeline health and freshness report by comparing run state with live catalog materialization. Use for success, failure, stale, missing, untracked, or rerun questions.

How do I install aidp-fusion-status?

In a terminal: npx skills add oracle-samples/oracle-aidp-samples --skill aidp-fusion-status. The skills CLI asks which agents to install it for. In Claude.ai you can upload the skill folder as a ZIP under Settings → Skills.

Which agents can use aidp-fusion-status?

Skills use the open SKILL.md format, which Claude Code, Claude.ai, the Claude API, OpenAI Codex, Cursor, Gemini CLI and other agents support.

Is aidp-fusion-status safe to use?

Our automatic check found no risky patterns (piped shell scripts, hidden characters, secret access, prompt overrides). It is not a full audit – read the SKILL.md and any scripts before installing.

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Guided catalog migration flow. Extracts Databricks Unity Catalog / HMS metadata, previews the 18-rule DDL rewrite, then batched replay on AIDP. Asks before the destructive replay step. Use when the user wants to migrate the catalog layer (schemas + tables) with checkpoints, rather than running aidp-migrate-catalog directly.

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