# Code Review Context

> Model visible context

- Skill: `openai/code-review-context` (Agent Skill)
- Install (CLI): `npx skillmds@latest add openai/code-review-context`
- Raw SKILL.md: https://api.skillmd.com/api/skills/openai/code-review-context/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: OpenAI (https://skillmd.com/u/openai)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/openai/code-review-context

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Codex maintains a context (history of messages) that is sent to the model in inference requests.

1. No history rewrite - the context must be built up incrementally.
2. Avoid frequent changes to context that cause cache misses.
3. No unbounded items - everything injected in the model context must have a bounded size and a hard cap. 
4. No items larger than 10K tokens.
5. Highlight new individual items that can cross >1k tokens as P0. These need an additional manual review.
6. All injected fragments must be defined as structs in `core/context` and implement ContextualUserFragment trait