infa-optimize

infa-optimize is a skill for Claude Code from oracle-samples/oracle-aidp-samples. It costs 92 tokens per session (580 once invoked), scanned A, original, UPL-1.0.

A code-quality check for PySpark notebooks created by an Informatica migration. PySpark is Python code used to process data with Apache Spark.

In plain words
What is it for?
Use it after converting a mapping to inspect the generated notebook for Spark performance issues. It is not a test of whether the migration produces correct results.
Why use it?
Generated code can contain Spark patterns that run inefficiently, even when the conversion is otherwise correct. The suggestions identify such patterns, and some can be applied automatically.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the oracle-ai-data-platform-workbench-informatica-migrator plugin — 11 skills, 5 commands, 2 agents shipped together

Good fit Use it after converting a mapping to inspect the generated notebook for Spark performance issues. It is not a test of whether the migration produces correct results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/oracle-samples/oracle-aidp-samples/infa-optimize
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 oracle-samples/oracle-aidp-samples --skill infa-optimize
Clone the repo
git clone --depth 1 https://github.com/oracle-samples/oracle-aidp-samples

Made for: Claude Code.

Or install oracle-ai-data-platform-workbench-informatica-migrator, the plugin that ships this one along with the rest of its 11 skills, 5 commands, 2 agents.

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.

agentmods badge for infa-optimize

README.md
[![agentmods](https://agentmods.dev/badge/skills/oracle-samples/oracle-aidp-samples/infa-optimize/github.svg)](https://agentmods.dev/skills/oracle-samples/oracle-aidp-samples/infa-optimize)
Your own site
<a href="https://agentmods.dev/skills/oracle-samples/oracle-aidp-samples/infa-optimize"><img src="https://agentmods.dev/badge/skills/oracle-samples/oracle-aidp-samples/infa-optimize/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.

agentmods 80×15 button for infa-optimize

Your own site · 80×15
<a href="https://agentmods.dev/skills/oracle-samples/oracle-aidp-samples/infa-optimize"><img src="https://agentmods.dev/badge/skills/oracle-samples/oracle-aidp-samples/infa-optimize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 580 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 unknown 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00092 $0.00580
Opus 5.5 $0.00037 $0.00232
Sonnet 5.5 $0.00018 $0.00116
Haiku 4.5 $0.00009 $0.00058

Measured 5d ago against content hash 36facb5ec2e3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

infa-optimize 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.

ai/claude-code-plugins/oracle-ai-data-platform-workbench-informatica-migrator/skills/infa-optimize/SKILL.md · 57 lines

The source is not reproduced here

Licensed UPL-1.0

The repository is licensed UPL-1.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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.

  1. 5d ago First seen · 57 lines · 92 tokens per session scan A 36facb5ec2e3

Subscribe to this mod's changes

infa-optimize is a skill published in the GitHub repository oracle-samples/oracle-aidp-samples (50 stars, last pushed yesterday), licensed UPL-1.0. It adds 92 tokens to every session and 580 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 2026-10-05.

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