Files
AirCoding/reference/openai-codex/.codex/skills/code-review-context/SKILL.md
AirCoding 82f3140847 Initial commit: AirCoding V1.0.0 Alpha architecture baseline
Complete architecture document set with multi-model review remediation:
- Frozen interface contracts, runtime semantics, DB schemas
- Event/tool/error/provider registries
- Scheduler and main agent state machines
- C4 module/code views, solution architecture, baseline V1
- Multi-model review reports and joint assessment
- Phase-gate remediation complete (P0/P1/P2/UX resolved)
- Implementation plan with T-000A through T-045
- Reference folders kept as placeholders only
2026-05-28 18:45:01 +08:00

661 B

name, description
name description
code-review-context Model visible context

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