mcpbeat

Code Review Context

openai/code-review-context

Model visible context

165 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
103818
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/openai/codex --skill code-review-context

The instruction itself

as written by the author

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

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

How to use it

Copy the folder

Take openai/code-review-context from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.