ds-project-setup

A setup tool for creating Data Science Projects in OpenShift AI, Red Hat’s platform for machine-learning work. It prepares the project namespace and configures connections to S3 storage, pipelines, and model serving.

In plain words
What is it for?
Use it to create a project, add an S3 data connection, configure its pipeline server, and enable model serving.
Why use it?
It removes the repeated manual setup needed before a team can store data, run machine-learning pipelines, or publish models.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/rhecosystemappeng/agentic-plugins/ds-project-setup
Any agent
npx skills add RHEcosystemAppEng/agentic-plugins --skill ds-project-setup
Clone the repo
git clone --depth 1 https://github.com/RHEcosystemAppEng/agentic-plugins

Made for: Claude Code, Codex.

Per session 146 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,958 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00146 $0.03958
Opus 5 $0.00073 $0.01979
Sonnet 5 $0.00029 $0.00792
Haiku 4.5 $0.00015 $0.00396

Measured 2d ago against content hash 68012ab38499, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ds-project-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 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.

rh-ai-engineer/skills/ds-project-setup/SKILL.md · 374 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago First seen · 374 lines · 146 tokens per session scan A 68012ab38499

Subscribe to this mod's changes

ds-project-setup is a skill published in the GitHub repository RHEcosystemAppEng/agentic-plugins (50 stars, last pushed 8d ago), with no licence file. It adds 146 tokens to every session and 3,958 once invoked, about $0.0007 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 2026-08-30.

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