oracle
npx skills add https://github.com/trancong12102/ccc --skill oracle
Agent 安装分布
Skill 文档
Oracle – Second Opinion Model
Invokes OpenAI’s GPT-5.2 extra high reasoning model via CLI for complex analysis tasks. It excels at debugging, code review, architecture analysis, and finding better solutions.
Prerequisite: Codex CLI installed and authenticated (codex login).
Trade-offs: Slower and more expensive than the main agent, but significantly better at complex reasoning. Use deliberately, not for every task.
Invocation
Use codex exec --profile oracle to run the reasoning model:
codex exec --profile oracle "Review @src/auth/jwt.ts for security vulnerabilities"
Examples
# Security review
codex exec --profile oracle "Review @src/auth/jwt.ts for security vulnerabilities. Provide specific fixes."
# Debugging
codex exec --profile oracle "Find why memory leak in @src/DataFetcher.tsx. Component doesn't clean up on unmount."
# Architecture analysis
codex exec --profile oracle "Analyze how @src/services/payment.ts and @src/services/order.ts interact. Propose refactoring plan."
# Complex bug investigation
codex exec --profile oracle "Bug: Users see stale data after updates. Check @src/cache/invalidation.ts for race conditions."
Prompting for Reasoning Models
Reasoning models work differently from completion models. Follow these guidelines:
Keep prompts simple and direct:
- State the goal clearly without excessive context
- Let the model explore and discover relevant information
- Avoid step-by-step instructions – the model reasons on its own
Focus on WHAT, not HOW:
- Bad: “First read the file, then analyze each function, then check for…”
- Good: “Review this code for security vulnerabilities”
Use @ syntax for file references:
- Include relevant files directly:
@src/auth/login.ts - The model will read and understand the code
Be specific about expected output:
- “Provide specific fixes” > “Is this correct?”
- “List all race conditions” > “Are there any bugs?”
Example Prompts
Security Review
Review @src/auth/jwt.ts for security vulnerabilities.
Provide specific fixes for any issues found.
Debugging
Find why the memory leak occurs in @src/components/DataFetcher.tsx.
The component fetches data but doesn't clean up on unmount.
Architecture Analysis
Analyze how @src/services/payment.ts and @src/services/order.ts interact.
Propose a refactoring plan that maintains backward compatibility.
Complex Bug Investigation
Bug: Users intermittently see stale data after updates.
Related files: @src/api/update.ts @src/cache/invalidation.ts @src/hooks/useData.ts
Identify race conditions or cache invalidation issues and provide a fix.
Workflow
Think step-by-step:
- Gather context first: Identify relevant files and the specific problem
- Formulate a focused prompt: Include file references with
@, state the goal directly - Invoke the oracle: Run
codex exec --profile oracle "prompt" - Continue if needed: Use
codex exec resume SESSION_ID "follow-up"to refine analysis - Act on the analysis: Implement recommendations from the oracle’s response
Continuing Conversations
Use codex exec resume SESSION_ID to continue until satisfied. The session ID is returned from the initial invocation.
# Initial analysis (returns session ID)
codex exec --profile oracle "Review @src/auth/jwt.ts for security vulnerabilities"
# Output includes: Session ID: abc123...
# Continue with follow-up questions using the session ID
codex exec resume abc123 "Also check for timing attacks in the token validation"
# Keep refining with the same session
codex exec resume abc123 "What about the refresh token rotation logic?"
| Argument | Description |
|---|---|
SESSION_ID |
Session ID returned from the initial invocation |
PROMPT |
Follow-up instruction to send after resuming |
Rules
- Use the oracle for complex problems that require deep reasoning
- Keep prompts focused – one problem per invocation
- Include file references with
@syntax for relevant code - Request specific, actionable output
- Chain with main agent: oracle for analysis, main agent for implementation
- Oracle is read-only; use the main agent to implement changes