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Use when performing retail consumer-loan pre-checks, eligibility screening, and document gap analysis; trigger for requests that need Chinese skill content with structured precheck logic and optional scripts.
Passed 19 of 23 test cases with the skill, and 8 of 23 without it.
and 20 more in the full report
12 fixed8 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
业务系统展示初筛结果时，前端开发人员自行设计了四个状态标签：'审核通过'、'补充材料'、'风控拒贷'、'转人工审核'。请指出规范定义的三个标准初筛结论枚举值。
| Checked | Without skill | With skill |
|---|---|---|
| Identifies standard status value 可推进. | Missed | Passed |
| Identifies standard status value 待补资料. | Missed | Passed |
| Identifies standard status value 阻断. | Missed | Passed |
The instructions your model reads when the skill loads.
面向消费贷业务的预审初筛与资料缺口识别，输出“可推进/待补资料/阻断”的初步判断、关键风险提示与补件清单，用于前置沟通与材料整理。
applicant_id、年龄、职业、居住稳定性批量预审使用 scripts/precheck_consumer.py。
python scripts/precheck_consumer.py --input consumer_applications.json --output consumer_precheck.json
test cases passed, vs 8 / 23 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.