oracle

Bundle task prompts with repository files for second-model code feedback.

28|Updated Jan 3, 2026
One-click install
npx skills add https://github.com/ma08/botfiles --skill oracle-ma08
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/ma08/botfiles/tree/main/claude/skills/oracle
Command: npx skills add https://github.com/ma08/botfiles --skill oracle-ma08

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Getting accurate, context-aware feedback from a second AI model on code tasks normally requires manually copying all relevant files and background context, which is slow, error-prone, and often misses critical project details.

Core Features & Use Cases

  • Prompt and File Bundling: Automatically packages your task prompt with selected repository files (supporting globs, exclusions, and .gitignore rules) to deliver full context to the second model.
  • Flexible Model Engine Support: Runs via default browser mode for ChatGPT GPT-5.5 Pro with manual login, or API mode for other models like Claude, Grok, or Codex.
  • Common Use Cases: Ideal for debugging stubborn issues, validating refactors, checking design decisions, and cross-verifying code changes against full project context.

Quick Start

Use the oracle skill to get a second-model review of your recent bug fix by bundling the relevant source files and your debugging prompt.

Frequently Asked Questions about oracle

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

FAQPage Schema
How do I get a second AI model to review my code using full repository context?▼

This approach automates bundling your prompt with relevant repository files, including globs and .gitignore rules, to provide full project context for a second-model code review.

What is the best way to validate a code refactor against project context?▼

Packaging updated source files with your prompt and sending the bundle to a second model cross-validates refactors against the broader repository context.

Does this second-model review approach work with API engines like Claude or Grok?▼

Yes, this second-model review approach supports API engines like Claude, Grok, or Codex, and also runs in default browser mode for ChatGPT GPT-5.5 Pro with manual login.

How do I manage token budgets when sending multiple repository files for a design review?▼

The system applies selective file attachment and token budget management rules to control usage costs when bundling repository context for a design review.

Why does manually copying files for AI debugging miss critical project details?▼

Manual file copying for AI debugging is slow and error-prone, whereas automated prompt and file bundling ensures full context-aware feedback without missing critical project details.