Open CLI

oracle

scriptableai
$ npm i -g @steipete/oracle
Summary

CLI wrapper around OpenAI Responses API with high-reasoning model modes.

  • oracle fits local ai well, especially for reasoning-heavy prompts, terminal ai workflows, and model experimentation from the terminal.
  • 36,594 npm weekly downloads.
  • Easy to automate.
  • Good fit for coding-agent workflows and repeatable scripts.
  • Output is mostly text-first, so verify results before scripting around it.
ai-oracle-SKILL.md

Oracle guide

CLI wrapper around OpenAI Responses API with high-reasoning model modes. Built by Peter Steinberger.

Open CLI packages the install path, verify step, and safe-start workflow so this tool can move from “interesting CLI” to something you can actually use. It also integrates with skills.sh so each CLI comes with the right companion skills, not just a binary and a docs link.

When to apply

  • reasoning-heavy prompts, terminal ai workflows, and model experimentation from the terminal.
  • You need AI models and inference in both local dev and CI.
  • You need reasoning-heavy prompts.
  • You need terminal ai workflows.
  • You need model experimentation.

Quick reference

Installnpm i -g @steipete/oracle
Verifyoracle --help
First real commandoracle "Summarize the architecture of this repo"

Open CLI × skills.sh

Open CLI integrates oracle with the right skills.sh companions so you get the tool and the workflow together.

Prompt Engineering

Recommended pairing

Open CLI recommends this skills.sh skill because it fits ai workflows. Use sharper prompts so AI CLIs and agents produce more reliable results.

View on skills.sh
$ npx skills add https://github.com/inferen-sh/skills --skill prompt-engineering
Starter prompt

Use oracle together with the Prompt Engineering skills.sh skill. Start with a small prompt or read-only action, show the result, and propose the next loop before escalating scope.

Also useful from skills.sh
AI Automation Workflowsskills.shWorkflow Automationskills.sh

Why this tool

  • oracle fits local ai well, especially for reasoning-heavy prompts, terminal ai workflows, and model experimentation from the terminal.
  • 36,594 npm weekly downloads.
  • Easy to automate.

Watch-outs

  • Sign in before real work.
  • Needs network access.
  • Output is mostly plain text.

Example workflow

1. oracle "Summarize the architecture of this repo"

Safe start

Step 1

Install oracle.

Step 2

Run `oracle --help` first.

Step 3

Start with `oracle "Summarize the architecture of this repo"`.

Step 4

Authenticate oracle before asking the agent to do real work.

Alternatives worth considering

claude

Coding agent, refactors, and codebase search from the terminal.

codex

Coding agent, terminal code tasks, and prompted edits from the terminal.

gemini

Coding agent, prompting, and terminal assistance from the terminal.