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code-review-context

Model visible context

35

Quality

30%

Does it follow best practices?

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tessl review fix ./.codex/skills/code-review-context/SKILL.md
SKILL.md
Quality
Evals
Security

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
Repository
openai/codex
Last updated
First committed

Also appears in

openinterpreter/openinterpreter
In sync

since Jul 23, 2026

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