{
    "app": {
        "name": "code-review-context",
        "description": "Model visible context",
        "mode": "advanced-chat",
        "model_config": {
            "provider": "deepseek",
            "model": "deepseek-chat",
            "parameters": {
                "temperature": 0.7,
                "max_tokens": 4096
            }
        }
    },
    "instructions": "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",
    "variables": [],
    "opening_statement": "你好，我是 code-review-context，Model visible context...",
    "suggested_questions": [],
    "source": "DeepseekModel",
    "source_url": "https://deepseekmodel.com/skill?id=openai-codex-codex-skills-code-review-context-skill-md"
}