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Get Started Free →用于信托领域存续期管理中的底层资产舆情预警助手场景。支持结构化输入处理、规则分析与Markdown结果输出。
.claude/skills/aifinlab-asset-sentiment-alert/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | -27% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 12% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -62% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -55% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -37% | 0% |
本技能面向“存续期管理 / 舆情预警”业务单元，输出结构化分析报告与风险提示，支持尽调、法务、风控及存续管理流程中的基础判断。
id, name, text, status, timestamp 及相关业务字段按顺序执行：
bashnode scripts/t838_preprocess.js --input input.jsonl --output processed.json
bashpython scripts/t838_analysis.py --input processed.json --rules config/rules.json --baseline reference/baseline.json --output report.md
python# 调用 skill result = run_skill({ "param1": "value1", "param2": "value2" })
bashpython scripts/run_skill.py --input data.json
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 23,219 | 24,915 | +7% | 1 | 1 | 0% | 3,267 | 4,581 | +40% | 0 | 0 | — |
case-02 | fail→pass | 29,194 | 23,589 | -19% | 1 | 1 | 0% | 4,872 | 3,579 | -27% | 0 | 0 | — |
case-03 | fail→fail | 20,520 | 20,442 | -0% | 1 | 1 | 0% | 3,232 | 3,773 | +17% | 0 | 0 | — |
case-04 | fail→pass | 17,402 | 14,311 | -18% | 1 | 1 | 0% | 2,457 | 2,741 | +12% | 0 | 0 | — |
case-05 | pass→pass | 16,558 | 10,219 | -38% | 1 | 1 | 0% | 2,352 | 2,104 | -11% | 0 | 0 | — |
case-06 | pass→pass | 13,438 | 11,698 | -13% | 1 | 1 | 0% | 1,985 | 2,168 | +9% | 0 | 0 | — |
case-07 | fail→pass | 36,208 | 4,701 | -87% | 1 | 1 | 0% | 3,578 | 1,347 | -62% | 0 | 0 | — |
case-08 | fail→pass | 35,214 | 4,248 | -88% | 1 | 1 | 0% | 2,573 | 1,146 | -55% | 0 | 0 | — |
case-09 | pass→pass | 20,037 | 6,968 | -65% | 1 | 1 | 0% | 2,538 | 1,643 | -35% | 0 | 0 | — |
case-10 | pass→pass | 22,054 | 20,600 | -7% | 1 | 1 | 0% | 2,617 | 3,485 | +33% | 0 | 0 | — |
case-11 | fail→pass | 16,548 | 7,296 | -56% | 1 | 1 | 0% | 2,648 | 1,670 | -37% | 0 | 0 | — |
case-12 | pass→pass | 20,282 | 8,133 | -60% | 1 | 1 | 0% | 2,532 | 1,792 | -29% | 0 | 0 | — |
case-13 | fail→pass | 22,133 | 8,032 | -64% | 1 | 1 | 0% | 3,680 | 1,945 | -47% | 0 | 0 | — |
case-14 | fail→fail | 17,049 | 12,554 | -26% | 1 | 1 | 0% | 2,211 | 2,094 | -5% | 0 | 0 | — |
case-15 | pass→pass | 16,676 | 4,508 | -73% | 1 | 1 | 0% | 2,074 | 1,189 | -43% | 0 | 0 | — |
case-16 | fail→pass | 20,321 | 10,936 | -46% | 1 | 1 | 0% | 2,679 | 2,356 | -12% | 0 | 0 | — |
case-17 | fail→pass | 15,507 | 2,891 | -81% | 1 | 1 | 0% | 1,559 | 815 | -48% | 0 | 0 | — |
case-18 | fail→pass | 10,194 | 3,518 | -65% | 1 | 1 | 0% | 1,377 | 835 | -39% | 0 | 0 | — |
case-19 | fail→pass | 13,273 | 2,945 | -78% | 1 | 1 | 0% | 1,856 | 898 | -52% | 0 | 0 | — |
case-20 | pass→pass | 17,154 | 15,147 | -12% | 1 | 1 | 0% | 2,446 | 2,833 | +16% | 0 | 0 | — |
case-21 | fail→pass | 14,520 | 3,120 | -79% | 1 | 1 | 0% | 1,701 | 829 | -51% | 0 | 0 | — |
case-22 | fail→pass | 22,836 | 14,519 | -36% | 1 | 1 | 0% | 2,987 | 2,685 | -10% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +55 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.