| name | claude-codex-guardrail-loop |
| description | Use after planning or implementing non-trivial tasks - runs Codex MCP background verification/review for quality gates (plan validation + implementation review) |
Codex-Claude Engineering Loop Skill
When to use
Recommended after the following (plan validation runs only on request/approval):
- After building a non-trivial plan (3+ steps, architecture impact, multi-file changes) -> run plan validation only if user requests/approves
- After implementation completes (new feature, refactor, API change)
- Final validation before build/deploy
- Quality gate check after major work
Do not use for:
- Simple config changes (env vars, formatter settings)
- Documentation-only updates
- 1-2 line trivial edits (typos, minor styling)
Role
- Base role follows
CLAUDE.md. Codex is a reviewer for plan/implementation. - The last agent that summarized continues the work.
Constraint-based guardrails (Gemini prompt strategy)
- Specify context scope: do not guess/assume/edit beyond target files/folders. Cite evidence by file/line.
- Fix output format: keep requested output format (Plan/Implementation/Review) and length constraints.
- Declare allowed/forbidden actions: no external resources, no new deps, no large refactors without approval.
- Handle uncertainty: ask briefly when info is missing; mark as "needs confirmation" instead of guessing.
- Checklist self-check: before sending, verify key constraints (file scope, format, forbidden items, risks).
Response template
User context
- Target files/folders:
- Current behavior:
- Additional context:
- (If needed) constraints/priorities: allowed/forbidden actions, output length/format, whether questions needed
Example
- Target files/folders:
src/app/page.tsxsrc/store/dashboardStore.ts
- Current behavior: fetch data from server and store in local state
- Additional context: can use Suspense / useOptimistic for React 19 support
Task
- Summarize the user request as bullets.
- Example:
- Split dashboard state management into Zustand + Immer
- Minimize potential breakage in existing code
- Consider type safety (narrowing, ReturnType, etc.)
- Re-summarize constraints (allowed/forbidden actions, format, length, confirm needs).
Output format
- Plan: summarize key steps, assumptions, risks.
- Implementation: summarize file-by-file changes and evidence.
- Review: summarize edge cases, test approach, remaining risks.
Final instruction
- Always respond in Plan -> Implementation -> Review order.
Codex-Claude Loop Procedure
- Plan (Claude): build a detailed plan and record it in
{tasksRoot}/context.md. - Plan validation (Codex) (optional): when requested/approved, ask MCP to validate in background.
- Use
mcp__codex__spawn_agent - Prompt example:
Review this implementation plan and find issues: [Claude's plan] Focus on: - Logic errors and missing edge cases - Data/flow consistency and API contract violations - Type safety (narrowing, null/undefined) and error handling - Performance/resource waste - Security/auth/input validation - Framework/language best practices - Project code conventions and repo rules (CLAUDE.md, etc.) Constraints: - Keep Plan/Implementation/Review format, summary only - Do not mention files/deps not in context; mark "needs confirmation" if unknown - Cite evidence near file/line- Summarize results: extract only key issues from Codex response for the user (full logs only if needed)
- Use
- Feedback loop: summarize Codex issues, update the plan, and ask the user whether to re-validate or proceed.
- Implementation (Claude): implement step-by-step following the validated plan and record errors/changes explicitly.
- Cross review (Codex): request background review after implementation.
- Use
mcp__codex__spawn_agent - Prompt example:
Review the implementation and check: - Logic/flow errors, missing edge cases - Type safety and null/undefined guards, error/exception handling - API contract and data model consistency - Performance/resource waste - Security/auth/input validation - Framework/language best practices - Project code conventions and repo rules (CLAUDE.md, etc.) - Code complexity and maintainability Constraints: - Summarize response in Plan/Implementation/Review format - Do not suggest deps/files outside context; mark "needs confirmation" if required - Cite file/line evidence for each issue- Summarize results: classify as critical issues, warnings, suggestions
- Use
- Re-validate and continue: fix critical issues immediately; confirm large changes with the user; re-validate if needed.
- Error handling: on Codex or implementation errors, analyze cause -> adjust strategy -> confirm before large-impact changes.
Codex Result Summary Guide
Summary principles
- Only the essentials: critical issues > warnings > suggestions
- Brevity: deliver only 3-5 key points
- Context savings: do not dump full Codex logs
- Action-oriented: include a fix approach for each issue
Summary template
Codex validation complete:
Critical issues (fix immediately):
- [Issue 1]: [short description] -> [action]
Warnings (improve if possible):
- [Issue 2]: [short description] -> [action]
Suggestions:
- [Issue 3]: [short description]
Example
Codex validation complete:
Critical issues:
- Type safety: PagingResponse<T> missing -> apply PagingResponse type to API response
Warnings:
- Error handling: Either Left case missing -> add fold handling
Suggestions:
- Performance: consider useMemo for list filtering
Notes
- Plan validation: run plan validation via
mcp__codex__spawn_agent - Implementation: use Claude Edit/Write/Read tools
- Review: run review prompt via
mcp__codex__spawn_agent - Parallel validation: use
mcp__codex__spawn_agents_parallelfor multi-angle checks