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code-review-context Skill

AI Agent SkillRustOpen source

Model visible context Published by openai in codex.

Decision snapshot

Is this a fit?

Best for

Developers using codex, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

27 days ago · Apache-2.0 license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is code-review-context Skill?

Model visible context Published by openai in codex. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Developers using codex

Declared skill metadata

  • Source file: .codex/skills/code-review-context/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use code-review-context Skill

  • Use it for developers using codex.

Built with

RustCopy skill directory

Editorial notes

Source

  • Creator: openai
  • Repository: openai/codex
  • Skill file: .codex/skills/code-review-context/SKILL.md

What it does

Model visible context

Skill instructions

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

Verified compatibility and discovery

Frequently asked questions

What is code-review-context?

code-review-context is a open-source AI agent skill with Copy skill directory. Model visible context

Who is code-review-context best for?

code-review-context is best for reusing agent instructions, scripts, and references.

How do I install code-review-context?

Install or run code-review-context using Copy skill directory. Check code-review-context for the latest setup command.

Is code-review-context actively maintained?

code-review-context may need a closer maintenance check before production use.

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Stars
105,601
Forks
16,020
Last commit
27 days ago
Last verified
Aug 19, 2026
Metadata fetched
Aug 19, 2026
Repository age
1 year
License
Apache-2.0

Project health auto-fetched from the source repository.

Maintain this resource?

Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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