oracle

Bundle a prompt with selected files into a one-shot request for cross-model code review.

1|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/zhcndoc/openclaw --skill oracle-zhcndoc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/zhcndoc/openclaw/tree/main/skills/oracle
Command: npx skills add https://github.com/zhcndoc/openclaw --skill oracle-zhcndoc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Oracle bundles your prompt + selected files into one “one-shot” request so another model can answer with real repo context (API or browser automation). Treat output as advisory: verify against code + tests.

Core Features & Use Cases

  • Bundles a prompt with a selected codebase snapshot to provide complete context to a second model.
  • Supports including files, directories, and relevant metadata to streamline code reviews and design checks.
  • Use Case: When you need a second-model review of a feature branch, Oracle can package the prompt and code context for accurate assessment.

Quick Start

Ask the AI to bundle your current prompts and selected files for cross-model review and debugging.

Frequently Asked Questions about oracle

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

FAQPage Schema
How do I bundle prompts and files for cross-model code review?▼

To bundle prompts and files for cross-model code review, combine your prompt and selected codebase files into a single one-shot request so another AI model can analyze your repository context. This provides a second model with complete project awareness for accurate assessments.

What is prompt bundling for AI code analysis?▼

Prompt bundling for AI code analysis is the process of packaging your prompt and selected files into a single one-shot request. This provides complete repository context to a second model for cross-model debugging, design reviews, or project-level code analysis.

Can I use a codebase snapshot to get debugging advice from another AI model?▼

Yes, you can bundle a codebase snapshot with your prompt into a single one-shot request to get debugging advice from another AI model. Treat the output as advisory and always verify the suggestions against your actual code and tests.

Does bundling files for cross-model review risk leaking secrets?▼

Bundling files for cross-model review does risk leaking secrets if sensitive data is included in the snapshot. The process requires careful handling to avoid exposing secrets and to respect privacy and safety constraints when sharing context with another model.

What is the best way to perform a design review across different AI models?▼

The best way to perform a design review across different AI models is to bundle your design prompt and relevant project files into a single one-shot request. This ensures the second model has the necessary repository context to provide an accurate design assessment.