Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component...
npx skills add PaulRBerg/dot-agents --skill "oracle-codex"
Install specific skill from multi-skill repository
# Description
This skill should be used when the user asks to "use Codex", "ask Codex", "consult Codex", "Codex review", "use GPT for planning", "ask GPT to review", "get GPT's opinion", "what does GPT think", "second opinion on code", "consult the oracle", "ask the oracle", or mentions using an AI oracle for planning or code review. NOT for implementation tasks.
# SKILL.md
name: oracle-codex
argument-hint: '[--model] [--reasoning]'
context: fork
user-invocable: false
description: This skill should be used when the user asks to "use Codex", "ask Codex", "consult Codex", "Codex review", "use GPT for planning", "ask GPT to review", "get GPT's opinion", "what does GPT think", "second opinion on code", "consult the oracle", "ask the oracle", or mentions using an AI oracle for planning or code review. NOT for implementation tasks.
Codex Oracle
Use OpenAI Codex CLI as a planning oracle and code reviewer. Codex provides analysis and recommendations; Claude synthesizes and presents to the user.
Critical: This skill is for planning and review ONLY. Never use Codex to implement changes.
Prerequisites
Before invoking Codex, validate availability:
~/.agents/skills/oracle-codex/scripts/check-codex.sh
If the script exits non-zero, display the error message and stop. Do not proceed without Codex CLI.
For codex exec, prefer the wrapper script (handles flag compatibility and surfaces errors):
~/.agents/skills/oracle-codex/scripts/run-codex-exec.sh
Configuration Defaults
| Setting | Default | User Override |
|---|---|---|
| Model | gpt-5.2-codex |
"use model X" or "with gpt-5.2-codex" |
| Reasoning | Dynamic (based on complexity) | "use medium reasoning" or "with xhigh effort" |
| Sandbox | read-only |
Not overridable (safety constraint) |
| Timeout | 5 minutes minimum | Estimate based on task complexity |
Timeout Guidelines
When invoking codex exec via the Bash tool, always set an appropriate timeout:
- Minimum: 5 minutes (300000ms) for any Codex operation
- Simple queries (single file review, focused question): 5 minutes (300000ms)
- Moderate complexity (multi-file review, feature planning): 10 minutes (600000ms)
- High complexity (
highreasoning): 15 minutes minimum (900000ms) - Maximum complexity (
xhighreasoning): 20 minutes (1200000ms)
Reasoning Effort Guidelines
Select reasoning effort based on task complexity:
| Complexity | Effort | Examples |
|---|---|---|
| Simple | low |
Single file review, syntax check, quick question |
| Moderate | medium |
Multi-file review, focused feature planning, bug analysis |
| Complex | high |
Architecture analysis, cross-cutting concerns, security audit |
| Maximum | xhigh |
Large codebase planning, comprehensive design, deep reasoning |
Selection heuristics:
low: Task involves \<3 files, simple question, or quick validationmedium: Task involves 3-10 files or requires moderate analysishigh: Task spans multiple modules or requires architectural thinkingxhigh: Task requires comprehensive codebase understanding or critical decisions
For available models and reasoning levels, consult references/codex-flags.md.
Workflow
1. Validate Prerequisites
Run the check script. On failure, report the installation instructions and abort.
2. Determine Mode
- Planning mode: User wants architecture, implementation approach, or design decisions
- Review mode: User wants code analysis, bug detection, or improvement suggestions
- Preferred: Use
codex reviewsubcommand (simpler, see below)
2b. Quick Review with codex review
For code review requests, prefer the dedicated codex review subcommand:
# Review uncommitted changes
codex review --uncommitted
# Review changes against a base branch
codex review --base main
# Review a specific commit
codex review --commit <SHA>
# With custom focus instructions
codex review --base main "Focus on security and error handling"
Important: Before using --uncommitted, verify there are changes to review:
# Check for uncommitted changes (staged or unstaged)
if git diff --quiet && git diff --cached --quiet; then
echo "No uncommitted changes to review"
# Fall back to --base or inform user
fi
If there are no uncommitted changes, either:
- Use
--base <branch>to review committed changes against a branch - Inform the user there's nothing to review
This is simpler than codex exec for review workflows. Fall back to codex exec when more control is needed (custom prompts, specific reasoning effort, output redirection).
3. Construct Prompt
Build a focused prompt for Codex based on mode:
Planning prompt template:
Analyze this codebase and provide a detailed implementation plan for: [user request]
Focus on:
- Architecture decisions and trade-offs
- Files to create or modify
- Implementation sequence
- Potential risks or blockers
Do NOT implement anything. Provide analysis and recommendations only.
Review prompt template:
Review the following code for:
- Bugs and logic errors
- Security vulnerabilities
- Performance issues
- Code quality and maintainability
- Adherence to best practices
[code or file paths]
Provide specific, actionable feedback with file locations and line references.
4. Assess Complexity and Execute Codex
Before executing, assess task complexity to select appropriate reasoning effort:
- Count files involved in the query
- Evaluate scope (single module vs cross-cutting)
- Consider depth (surface review vs architectural analysis)
Use HEREDOC syntax for safe prompt handling. Always use the Bash tool's timeout parameter (minimum 300000ms / 5 minutes).
Redirect output to a temp file to avoid context bloat and race conditions.
Step 1: Generate a unique temp file path using $RANDOM for randomness:
CODEX_OUTPUT="/tmp/codex-${RANDOM}${RANDOM}.txt"
Step 2: Execute Codex via the wrapper (detects supported flags and surfaces stderr):
# Select EFFORT based on complexity assessment (low/medium/high/xhigh)
# Bash tool timeout: 5-20 minutes based on complexity
MODEL="${MODEL:-gpt-5.2-codex}" \
EFFORT="${EFFORT}" \
CODEX_OUTPUT="$CODEX_OUTPUT" \
~/.agents/skills/oracle-codex/scripts/run-codex-exec.sh <<'EOF'
[constructed prompt]
EOF
Important flags:
-m: Model selection-c model_reasoning_effort=: Reasoning depth (low/medium/high/xhigh) β select based on Reasoning Effort Guidelines-s read-only: Prevents any file modifications (non-negotiable)--skip-git-repo-check: Works outside git repositories (exec-specific)-o <file>: Write output to file (cleaner than shell redirection)--search: Enable web search for queries needing current information (optional)2>/dev/null: Suppresses stderr (progress/thinking output)
Bash tool timeout: Estimate based on task complexity (see Timeout Guidelines above). Never use the default 2-minute timeout for Codex operations.
5. Present Codex Output
Step 3: Read the analysis from the temp file and display to the user:
cat "$CODEX_OUTPUT"
Format the output with clear attribution:
## Codex Analysis
[Codex output from the temp file]
---
Model: gpt-5.2-codex | Reasoning: [selected effort level]
For very large outputs (>5000 lines), summarize key sections rather than displaying everything.
6. Synthesize and Plan
After presenting Codex output:
- Synthesize key insights from Codex analysis
- Identify actionable items and critical decisions
- If Codex's analysis presents multiple viable approaches or significant trade-offs, consider using
AskUserQuestionto clarify user preferences before finalizing the plan - Write a structured plan
- Call
ExitPlanModeto present the plan for user approval
When to use AskUserQuestion:
- Codex proposes multiple architectures with different trade-offs
- Technology or library choices need user input
- Scope decisions (minimal vs comprehensive) are ambiguous
Skip clarification when:
- Codex's recommendations are clear and unambiguous
- User's original request already specified preferences
- Only one viable approach exists
Error Handling
The check script returns specific exit codes:
| Exit Code | Error | Response |
|---|---|---|
| 1 | Codex not installed | Show installation instructions from check script |
| 2 | Codex not responding | Suggest running codex --version manually |
| 3 | Codex not authenticated | Show login instructions from check script |
The codex review command returns:
| Exit Code | Meaning | Response |
|---|---|---|
| 0 | Review completed | Present results |
| 2 | Nothing to review (e.g., no changes found) | Inform user; suggest alternative (--base) |
The codex exec command returns:
| Exit Code | Meaning | Response |
|---|---|---|
| 0 | Exec completed | Present results |
| 1 | Prompt/config error or runtime failure | Show stderr and adjust prompt/config |
| 2 | CLI usage error (usually unsupported flag / bad arguments) | Use the wrapper script or re-check codex exec --help options |
Runtime errors:
| Error | Response |
|---|---|
| Codex timeout | Inform user, suggest simpler query or lower reasoning |
| API rate limit | Wait and retry, or inform user of limit |
| Empty response | Retry once, then report failure |
Usage Examples
Planning Request
User: "Ask Codex to plan how to add authentication to this app"
- Validate Codex CLI available
- Gather relevant codebase context
- Assess complexity β auth spans multiple modules β
highreasoning - Construct planning prompt with auth requirements
- Execute Codex with
gpt-5.2-codexandhigh - Present Codex's architecture recommendations
- Synthesize into Claude plan format
Code Review Request
User: "Have Codex review the changes in src/auth/"
- Validate Codex CLI available
- Read files in
src/auth/directory - Assess complexity β single directory, focused review β
mediumreasoning - Construct review prompt with file contents
- Execute Codex review with
medium - Present findings with file/line references
- Summarize critical issues and recommendations
Additional Resources
Reference Files
references/codex-flags.md- Complete model and flag documentation
Scripts
scripts/check-codex.sh- Prerequisite validation (run before any Codex command)
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.