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当用户需要在银行零售金融场景下，对客户工单进行分类归因、优先级排序与路由建议时使用本技能。适合输出分类分布、优先级清单与SLA风险提示。
Passed 15 of 22 test cases with the skill, and 7 of 22 without it.
and 10 more in the full report
8 fixed7 passed either way7 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
我们需要通过命令行脚本批量对 `assets/example-input.json` 中的零售金融工单数据运行 `t170` 场景的分类助手，并生成 Markdown 格式的最终报告。请写出调用 `scripts/run_skill.py` 的具体 Bash 执行指令。
| Checked | Without skill | With skill |
|---|---|---|
| The CLI command executes `python scripts/run_skill.py --input assets/example-input.json --format markdown`. | Missed | Passed |
| The command targets the JSON asset file with markdown output format. | Passed | Passed |
The instructions your model reads when the skill loads.
本技能用于把零散的服务工单归类为可管理的类别与优先级，生成路由建议与复盘清单。强调分类口径一致、责任归口清晰、SLA风险可见。
time_window、work_ordersreferences/input-schema.mdtest cases passed, vs 7 / 22 without
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More skills from the same source and nearby in the registry, with their headline benchmark lift.