SKY-lv/evaluation-benchmark

Zero stars, zero forks, created 2 days ago with no git velocity indicates this is a nascent personal repository with no user adoption or community engagement. The minimal README provides no evidence of novel methodology, unique benchmark design, or implementation depth beyond a working prototype. Agent evaluation benchmarks are a crowded space (GAIA, AgentBench, ARC-o, ToolBench, etc.) with established patterns. A 2-day-old Chinese-language variant lacks differentiation—no clear indication of novel evaluation criteria, proprietary dataset, or specialized domain focus that would justify adoption over existing frameworks. The project shows no evidence of production-readiness, documentation, or reproducible evaluation results. Frontier labs (OpenAI, Anthropic, Google, DeepSeek) have internal and published agent evaluation frameworks already; they would not be displaced by an undocumented prototype. Low frontier risk because this solves a generic problem (agent evaluation) without specialized insight or defensible assets. Defensibility is minimal: the code is essentially a reference implementation waiting for community validation, which it has not received.