What is aidp-data-sharing?

A guide for sharing Oracle AI Data Platform data through Delta Sharing, an open way to give other teams or organisations controlled access to data. It manages shared data assets, recipients, permissions, and access settings.

Use it to create and manage shares, add tables or schemas, manage recipients, and grant or change sharing permissions.

It provides a defined way to share tables or schemas without embedding access arrangements in ad-hoc code or files.

aidp-data-sharing — Skill for Claude Code by ahmedawan-oracle

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 ahmedawan-oracle/claude-code-plugins --skill aidp-data-sharing

Clone the repo

git clone --depth 1 https://github.com/ahmedawan-oracle/claude-code-plugins

Made for: Claude Code.

Or install oracle-ai-data-platform-workbench-engineer-agent, the plugin that ships this one along with the rest of its 14 skills.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/ahmedawan-oracle/claude-code-plugins/aidp-data-sharing/github.svg)](https://agentmods.dev/skills/ahmedawan-oracle/claude-code-plugins/aidp-data-sharing)

Your own site

<a href="https://agentmods.dev/skills/ahmedawan-oracle/claude-code-plugins/aidp-data-sharing"><img src="https://agentmods.dev/badge/skills/ahmedawan-oracle/claude-code-plugins/aidp-data-sharing/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/ahmedawan-oracle/claude-code-plugins/aidp-data-sharing"><img src="https://agentmods.dev/badge/skills/ahmedawan-oracle/claude-code-plugins/aidp-data-sharing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 923 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 original 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.

Model	Per session	Once invoked
Fable 5.1	$0.00098	$0.00923
Opus 5.5	$0.00039	$0.00369
Sonnet 5.5	$0.00020	$0.00185
Haiku 4.5	$0.00010	$0.00092

Measured 1mo ago against content hash 73c11ebe6a1c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aidp-data-sharing 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.

claude-code-plugins/oracle-ai-data-platform-workbench-engineer-agent/skills/aidp-data-sharing/SKILL.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

`aidp-data-sharing` — Delta Sharing (shares & recipients)

Open data sharing over the Delta Sharing protocol via the AIDP DeltaShare API. A differentiator: open-protocol sharing driven from the agent.

CLI (preferred): aidp delta-share <command> --instance-id <DATALAKE_OCID> --auth api_key --profile DEFAULT --region <r>

Shares: aidp delta-share create | get | list | update | delete | manage-access | manage-data-asset | manage-permission | list-data-assets
Recipients: aidp delta-share create-recipient | get-recipient | list-recipients | update-recipient | delete-recipient | manage-recipient-permission | list-recipient-shares | list-recipient-permissions

Fallback (no CLI): same DeltaShare REST API via oci raw-request (identical endpoint + auth; see references/oci-raw-request.md).

Verify-first: GET /shares and GET /recipients are LIVE-VERIFIED 200 on 20240831/dataLakes (auth --profile DEFAULT, api_key) — aidp delta-share list / list-recipients hit the same path. Default to that version/prefix; treat 20260430 as the future GA target and probe only after a tenancy upgrade. Confirm any write with a live response before destructive actions; record in references/rest-endpoint-map.md.

When to use

"Share this table/schema with <team/org>", "set up Delta Sharing", "add/manage a recipient", "grant access to a share", "rotate a recipient token".

Workflow

Verify with aidp delta-share list (CLI) — or GET /shares (REST fallback; auth ladder in references/oci-raw-request.md).
Create a share → add data assets (manage-data-asset, referencing real catalog tables from aidp-catalog-explore) → create/attach recipients → manage access/permissions.
Recipient tokens: surface expiry; rotate via update-recipient / manage-recipient-permission. Never print the recipient bearer token.
Confirm before granting access or deleting a share/recipient (outward-facing — data leaves the tenancy).

Read the full file on GitHub · 53 lines

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.

1mo ago First seen · 53 lines · 98 tokens per session scan A 73c11ebe6a1c

Subscribe to this mod's changes

aidp-data-sharing is a skill published in the GitHub repository ahmedawan-oracle/claude-code-plugins (3 stars, last pushed 2mo ago), licensed MIT. It adds 98 tokens to every session and 923 once invoked, about $0.0004 per session on Opus 5.5. 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.

Data and AI

agent-platform-model-registry

Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.

google/skills · 60 tokens

foundry-config-setup

Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.

microsoft/agent-framework · 65 tokens

google-cloud-solution-agentic-analytics-spark-knowledge-catalog

Discovers requirements and designs an end-to-end governed agentic analytics solution using Knowledge Catalog and Managed Service for Apache Spark (Lightning Engine). Use when designing data science and analytics workflows across structured and unstructured distributed data (including in S3, Azure Blob, AlloyDB, and…

google/skills · 132 tokens

training-check

Interactively monitor training metrics from the current Codex session, periodically checking WandB or fallback logs for NaN, divergence, plateaus, and broken runs.

wanshuiyin/Auto-claude-code-research-in-sleep · 35 tokens

nemo-automodel-launcher-config

Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.

NVIDIA/skills · 30 tokens

finetuning

Fine-tune models on Microsoft Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders). Covers dataset preparation, training job submission, deployment, and evaluation. USE FOR: fine-tune, SFT, DPO, RFT, training data, grader, distillation, fine-tuned model, training job, large file…

microsoft/skills · 132 tokens