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.
/plugin marketplace add ahmedawan-oracle/claude-code-pluginsnpx agentmods add plugins/ahmedawan-oracle/claude-code-plugins/marketplacegit clone --depth 1 https://github.com/ahmedawan-oracle/claude-code-pluginsGrade A, and why
oracle-ai-data-platform-workbench-suite 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 2d 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
{
"name": "oracle-ai-data-platform-workbench-suite",
"owner": {
"name": "Ahmed Awan"
},
"metadata": {
"version": "0.9.0",
"description": "Development mirror of oracle-samples for Claude Code plugins for Oracle AI Data Platform (AIDP) Workbench. Bundles the Engineer Agent (oracle-ai-data-platform-workbench-engineer-agent), the Spark connectors plugin (oracle-ai-data-platform-workbench-spark-connectors), the Databricks Migrator (oracle-ai-data-platform-workbench-databricks-migrator), and the Fusion Autopilot (oracle-ai-data-platform-fusion-autopilot). Plugins live under claude-code-plugins/<plugin-name>/, mirroring the layout in oracle-samples/oracle-aidp-samples/ai/claude-code-plugins/."
},
"plugins": [
{
"name": "oracle-ai-data-platform-workbench-engineer-agent",
"description": "Operate the entire Oracle AI Data Platform (AIDP) Workbench in natural language \u2014 a 37-skill agent (not a single-engine orchestrator). Discovers your catalog into a grounding cache (FK/join hints + value dictionaries), turns plain English into accurate Spark SQL, and runs the full lakehouse SQL lifecycle (CREATE/INSERT/UPDATE/DELETE/MERGE/OPTIMIZE/VACUUM/DESCRIBE HISTORY/time-travel on the Spark/Delta lakehouse). Ingests files, profiles data and sets quality rules, authors and repairs cron pipelines, provisions clusters (Compute/AI Compute), and debugs via the Spark UI. Governs the platform (roles + per-resource permissions, credential store, Delta Sharing, audit logs, user settings; plus native Git, bundles, and MLOps/MLflow in Preview) and ships AI \u2014 Agent Flows across 13 node types with guardrails (content moderation, prompt-attack prevention, PII detection), Knowledge Base RAG, high-code LangGraph/aidputils agents, and reusable Tools. A semantic model + verified-query repository are matched before free generation for accuracy. Signature differentiators: LLM-in-SQL via ai_generate('openai.gpt-5.4', '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.
- 2d ago First seen · 157 lines scan A adec5896273f
oracle-ai-data-platform-workbench-suite is a plugin published in the GitHub repository ahmedawan-oracle/claude-code-plugins (2 stars, last pushed 29d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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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