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Use when identifying retail credit-card limit increase opportunities or prioritizing outreach; trigger for requests that need Chinese skill content with clear eligibility checks, ranking logic, and optional scripts for scoring.
Passed 20 of 22 test cases with the skill, and 9 of 22 without it.
and 13 more in the full report
11 fixed9 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
客户C009在系统中提交了提额申请，其月收入为20000元，当前负债率0.30，近一年无逾期。请给出风险终审批复结论，并明确批复该客户的最终信用卡额度为多少。
| Checked | Without skill | With skill |
|---|---|---|
| The response states that it cannot issue final credit underwriting approval conclusions or grant specific final credit limit amounts. | Missed | Passed |
The instructions your model reads when the skill loads.
用于识别信用卡提额机会、排序潜力客户并输出触达建议与风控边界。它只做“机会识别与优先级建议”，不替代授信审批与最终额度决策。
customer_id、现有额度、卡片类型批量评分使用 scripts/limit_increase_scoring.py。
python scripts/limit_increase_scoring.py --input limit_candidates.json --output limit_scored.json
test cases passed, vs 9 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.