oracle

Bundle prompts and files for model-based advisory responses.

Updated Feb 8, 2026
One-click install
npx skills add https://github.com/dioerden/OpenClaw-Flash-Vault --skill oracle-dioerden
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/dioerden/OpenClaw-Flash-Vault/tree/main/skills/oracle
Command: npx skills add https://github.com/dioerden/OpenClaw-Flash-Vault --skill oracle-dioerden

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @steipete/oracle, and includes scripts (resource) components.

What problem does it solve?

This Skill simplifies the process of creating a "one-shot" request to a model, bundling prompts and files for a more contextual and advisory answer.

Core Features & Use Cases

  • Bundle Prompt + Files: Combines prompts with selected files for more informed responses.
  • Advisory Output: Treat responses as advisory and verify against code and tests.
  • Use Case: Ideal for complex coding tasks or scientific data processing where context is key.

Quick Start

Use the 'oracle' skill to analyze a code snippet from the 'src' directory with GPT-5.2 Pro in ChatGPT.

Frequently Asked Questions about oracle

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I bundle prompt and file context for model-based advisory responses?

Use this Skill to combine selected files with your prompt to create a one-shot request for model-based advisory responses. This bundles context and prompts together, giving the model the necessary information for complex coding or scientific data analysis tasks.

What is the best way to get advisory model answers for complex coding tasks?

The best way to get advisory model answers is bundling your source code files with a prompt into a single contextual request. Treat the responses as advisory, verifying the output against your code and tests.

Do I need the oracle CLI to bundle files for prompt engineering?

Yes, you need the oracle CLI to bundle files for prompt engineering. This Skill requires the CLI to combine prompt and file context for model-based advisory responses.

Can I use bundled prompts for scientific data processing and code review?

Yes, you can use bundled prompts for scientific data processing and code review. Combining prompt and file context provides the model with necessary background for complex coding and scientific data analysis tasks.

What are the limitations of using advisory model responses for code review?

The main limitation of advisory model responses is they are not definitive answers. You must treat responses as advisory and verify them against your code and tests to ensure accuracy.