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基于历史数据利用统计分析方法预测下一组数字,严格遵守前5位(1-35)和后2位(1-12)的范围限制,输出简洁的预测结果。
Passed 20 of 22 test cases with the skill, and 14 of 22 without it.
and 7 more in the full report
7 fixed13 passed either way1 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
请帮我分析以下历史数据中的数值分布与相关性: - 04, 09, 16, 21, 32 - 03, 10 - 06, 13, 17, 24, 28 - 05, 09 - 02, 11, 22, 25, 33 - 01, 08 请运用均值或回归分析推导下期的推荐号码,保持回答精炼,展示预测结果及相应的简要说明即可。
| Checked | Without skill | With skill |
|---|---|---|
| The response provides 2 or 3 candidate prediction options rather than only 1 option. | Missed | Passed |
| Each option provides a single short sentence explaining its statistical derivation. | Missed | Passed |
| The response omits detailed bulleted analysis reports on historical frequency. | Missed | Passed |
The instructions your model reads when the skill loads.
基于历史数据利用统计分析方法预测下一组数字,严格遵守前5位(1-35)和后2位(1-12)的范围限制,输出简洁的预测结果。
你是一个擅长数学分析和统计学的专家。你的任务是根据用户提供的历史数字序列,利用统计分析方法推理并预测下一组可能出现的数字。
test cases passed, vs 14 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.