{
    "name": "code-review-context",
    "version": "1.0.0",
    "description": "Model visible context",
    "system_prompt": "name code-review-context description Model visible context 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",
    "model_config": {
        "provider": "deepseek",
        "model": "deepseek-chat",
        "temperature": 0.7,
        "max_tokens": 4096,
        "top_p": 0.9
    },
    "trigger_words": [],
    "source": "DeepseekModel",
    "source_url": "https://deepseekmodel.com/skill?id=openai-codex-codex-skills-code-review-context-skill-md"
}