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skills/codex-review/SKILL.md
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skills/codex-review/SKILL.md
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---
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name: codex-review
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description: Request an external review from Codex (OpenAI) to get a second perspective on designs, implementations, diffs, or architecture decisions
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---
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# Codex Review
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Use this skill when you need a second perspective on work in progress. Codex excels at identifying gaps in reasoning, missing requirements, architectural concerns, and flawed assumptions - especially early in the planning process when issues are cheapest to fix.
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## When to Use
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Invoke this skill when the user wants an external perspective, especially during early phases:
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- Brainstorming sessions - validating ideas and approaches
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- Requirements gathering - checking for gaps or contradictions
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- Design documents - reviewing architecture and technical decisions
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- Implementation plans - validating approach before writing code
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- Occasionally: reviewing code or diffs when explicitly requested
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## How to Invoke Codex
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Codex runs in non-interactive mode via `codex exec`. Pass all content directly via stdin.
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**Command template:**
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```bash
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printf "%s" "$CONTENT_TO_REVIEW" | codex exec \
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-m "gpt-5.1-codex-max" \
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-c 'model_reasoning_effort="high"' \
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-s read-only \
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-
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```
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The `-` at the end tells Codex to read the prompt from stdin. Use `printf "%s"` instead of `echo` to safely handle content with backslashes or leading dashes.
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## Preparing the Content
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Before invoking Codex, gather all relevant context into a single prompt. Codex has no access to the filesystem or any context beyond what you provide.
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**Important:** Strip sensitive data (API keys, tokens, credentials, secrets) from content before sending to Codex. If the context is unclear or you need specific focus areas, prompt the user for guidance.
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**For brainstorming or ideas:**
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```
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## Review Request: Idea Validation
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Please review the following ideas/approach for gaps, risks, and flawed assumptions.
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### Proposal:
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<the idea, approach, or brainstorm output>
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### Context:
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<problem being solved, constraints, goals>
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```
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**For requirements:**
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```
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## Review Request: Requirements
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Please review these requirements for completeness, contradictions, and missing edge cases.
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### Requirements:
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<the requirements>
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### Context:
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<what system/feature these are for>
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```
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**For design documents:**
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```
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## Review Request: Design
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Please review the following design for gaps, risks, and potential issues.
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### Design:
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<the design document or architecture>
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### Context:
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<background, constraints, goals>
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```
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**For code or diffs (when explicitly requested):**
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Fetch the content using the project's VCS (git, jj, etc.) with color codes stripped. Frame the request appropriately:
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```
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## Review Request: Implementation
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Please review the following for correctness, edge cases, and potential issues.
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### Content:
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<code or diff>
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### Context:
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<what this does, why it was changed>
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```
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## The Review Prompt
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Always append these instructions to ensure structured output:
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```
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---
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## Output Format
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Provide your review in the following sections only:
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### Blocking Issues
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Issues that MUST be addressed before proceeding. These are bugs, security vulnerabilities, logic errors, or design flaws that would cause problems.
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### Non-blocking Issues
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Suggestions for improvement that are not critical. Style concerns, minor optimizations, or alternative approaches worth considering.
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### Outstanding Questions
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Questions that need clarification from the author. Ambiguities in requirements, unclear design decisions, or missing context.
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### Further Ideas
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Optional enhancements or future considerations. Ideas that could improve the work but are out of scope for now.
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If a section has no items, write "None identified."
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```
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## Full Example
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```bash
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# Build the prompt with content and output format instructions
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PROMPT=$(cat <<'REVIEW_EOF'
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## Review Request: Design
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Please review the following design for gaps, risks, and potential issues.
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### Design:
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We're building a caching layer for our API. The plan is:
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1. Use Redis for distributed caching
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2. Cache all GET responses for 5 minutes
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3. Invalidate on any write operation to related resources
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4. Fall back to database on cache miss
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### Context:
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- High-traffic API (~10k requests/minute)
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- Eventually consistent is acceptable
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- Must not serve stale data after writes
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### Additional Focus:
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Pay attention to cache invalidation edge cases.
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---
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## Output Format
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Provide your review in the following sections only:
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### Blocking Issues
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Issues that MUST be addressed before proceeding. These are bugs, security vulnerabilities, logic errors, or design flaws that would cause problems.
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### Non-blocking Issues
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Suggestions for improvement that are not critical. Style concerns, minor optimizations, or alternative approaches worth considering.
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### Outstanding Questions
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Questions that need clarification from the author. Ambiguities in requirements, unclear design decisions, or missing context.
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### Further Ideas
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Optional enhancements or future considerations. Ideas that could improve the work but are out of scope for now.
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If a section has no items, write "None identified."
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REVIEW_EOF
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)
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# Invoke Codex
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printf "%s" "$PROMPT" | codex exec \
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-m "gpt-5.1-codex-max" \
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-c 'model_reasoning_effort="high"' \
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-s read-only \
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-
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```
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## After the Review
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1. Display the full review report to the user
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2. Prompt the user to:
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- Answer any outstanding questions
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- Address blocking issues (these should be resolved)
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- Comment on non-blocking issues and further ideas (accept, reject, or defer)
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3. If the user wants to address issues, help them implement the fixes
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4. Consider re-running the review after significant changes
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