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.
git clone --depth 1 https://github.com/ahmedawan-oracle/claude-code-pluginsWrote 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/plugins/ahmedawan-oracle/claude-code-plugins/oracle-ai-data-platform-workbench-engineer-agent)<a href="https://agentmods.dev/plugins/ahmedawan-oracle/claude-code-plugins/oracle-ai-data-platform-workbench-engineer-agent"><img src="https://agentmods.dev/badge/plugins/ahmedawan-oracle/claude-code-plugins/oracle-ai-data-platform-workbench-engineer-agent/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/plugins/ahmedawan-oracle/claude-code-plugins/oracle-ai-data-platform-workbench-engineer-agent"><img src="https://agentmods.dev/badge/plugins/ahmedawan-oracle/claude-code-plugins/oracle-ai-data-platform-workbench-engineer-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
oracle-ai-data-platform-workbench-engineer-agent 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 1mo 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
{
"name": "oracle-ai-data-platform-workbench-engineer-agent",
"version": "0.5.0",
"description": "Operate the entire Oracle AI Data Platform (AIDP) Workbench in natural language — 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 — 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', '<prompt>') and cross-source federation in one Spark session. Runs via the official Oracle aidp CLI with an oci raw-request REST fallback — under either api_key or oci-session-token auth. Additive to your Oracle stack.",
"homepage": "https://github.com/oracle-samples/oracle-aidp-samples/tree/main/ai/claude-code-plugins/oracle-ai-data-platform-workbench-engineer-agent",
"repository": "https://github.com/oracle-samples/oracle-aidp-samples",
"license": "MIT",
"keywords": [
"oracle",
"aidp",
"data-engineering",
"spark",
"spark-sql",
"lakehouse",
"catalog",
"data-quality",
"data-profiling",
"pipelines",
"jobs",
"orchestration",
"notebooks",
"cluster",
"spark-ui",
"mcp",
"oci",
"session-token",What it installs
The manifest is a name and a version. 14 skills travel with it, and installing the plugin installs all of them — 1,388 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill aidp-agent-flows A 141 tokens
- Skill aidp-bundle A 77 tokens
- Skill aidp-cluster-ops A 124 tokens
- Skill aidp-engineer-bootstrap A 121 tokens
- Skill aidp-catalog-init A 89 tokens
- Skill aidp-agent-highcode A 127 tokens
- Skill aidp-credentials A 100 tokens
- Skill aidp-ai-sql A 77 tokens
- Skill aidp-analyzing-data A 100 tokens
- Skill aidp-catalog-explore A 81 tokens
- Skill aidp-data-quality A 81 tokens
- Skill aidp-engineer-overview A 91 tokens
- Skill aidp-data-sharing A 98 tokens
- Skill aidp-audit A 81 tokens
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.
- 1mo ago First seen · 48 lines scan A 36e8e5dfa870
oracle-ai-data-platform-workbench-engineer-agent is a plugin published in the GitHub repository ahmedawan-oracle/claude-code-plugins (3 stars, last pushed 2mo 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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