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.
npx agentmods add skills/ahmedawan-oracle/claude-code-plugins/oac-dataset-setupnpx skills add ahmedawan-oracle/claude-code-plugins --skill oac-dataset-setupgit 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/skills/ahmedawan-oracle/claude-code-plugins/oac-dataset-setup)<a href="https://agentmods.dev/skills/ahmedawan-oracle/claude-code-plugins/oac-dataset-setup"><img src="https://agentmods.dev/badge/skills/ahmedawan-oracle/claude-code-plugins/oac-dataset-setup.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00179 | $0.02453 |
| Opus 5 | $0.00089 | $0.01226 |
| Sonnet 5 | $0.00036 | $0.00491 |
| Haiku 4.5 | $0.00018 | $0.00245 |
Grade A, and why
oac-dataset-setup 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 5d 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 — 291 lines — stays where its author put it; the contents beside it link to each section on GitHub.
oac-dataset-setup - guided OAC dataset checkpoint
This skill owns the manual OAC data-surface step between
/oac-dataset-advisor and /workbook-authoring.
It does three things:
- Turns the advisor's dataset recommendation into exact OAC UI instructions.
- Pauses while the operator creates or updates the AIDP connection/dataset in OAC.
- Verifies the resulting dataset through OAC MCP before workbook authoring.
It does not create the OAC connection or dataset automatically. Current OAC MCP
can search, describe, query, and save catalog content, but it does not expose a
create-dataset tool. First-time AIDP connection creation is also an OAC UI
step because the public REST validator does not reliably accept the AIDP
idljdbc connection type.
When to use
/oac-dataset-advisorreturned a CREATE recommendation and the user needs OAC UI steps.- Autopilot reaches the "OAC connection/dataset" pause.
- The user says they created a dataset and wants to continue.
- The user wants to verify an OAC dataset before
/workbook-authoring. - A workbook request is blocked because the target dataset is missing or ambiguous.
When NOT to use
- Deciding whether live gold can serve the dashboard ->
/oac-dataset-advisor. - Building missing gold content ->
/mart-author, then seed and re-run advisor. - Creating the workbook ->
/workbook-authoring. - Setting up OAC MCP itself -> run the project-scoped
dashboard mcp-setupcommand from the customer project directory. - Running seed/incremental to materialize data ->
/aidp-fusion-seedor/aidp-fusion-incremental.
Required inputs
Start from an advisor recommendation. If the user has not provided one, run or
ask them to run /oac-dataset-advisor first.
The minimum dataset spec is:
Dataset name:
OAC AIDP connection name:
Gold table or tables:
Columns to expose:
Join keys, when multi-table:
Filters or grants:
For single-table datasets, require a fully qualified gold table such as
fusion_catalog.gold.supplier_spend.
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.
- 5d ago First seen · 291 lines · 179 tokens per session scan A 8c81394add48
oac-dataset-setup is a skill published in the GitHub repository ahmedawan-oracle/claude-code-plugins (2 stars, last pushed 1mo ago), licensed MIT. It adds 179 tokens to every session and 2,453 once invoked, about $0.0009 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…