Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →资产配置Skill - 提供基金资产配置、行业分布、重仓股分析 via AkShare
.claude/skills/aifinlab-akshare-allocation/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-10 | ✗→✓ | ▲ Improved | 3% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -8% | 0% |
| case-01 | ✗→✓ | ▲ Improved | 37% | 0% |
| case-04 | ✗→✓ | ▲ Improved | -53% | 0% |
| case-05 | ✗→✓ | ▲ Improved | -30% | 0% |
| 属性 | 内容 | |:---|:---| | 名称 | akshare-allocation | | 版本 | 1.1.0 | | 分类 | 资产配置 | | 状态 | ✅ 已上线 | | 维护者 | FinClaw Core Team | | 最后更新 | 2026-03-19 |
资产配置Skill，提供公募基金资产配置结构（股票/债券/现金）、行业分布、重仓股分析、持仓变动追踪等功能。分析基金投资组合特征。
| 用户输入 | 识别意图 | 调用函数 | |:---|:---|:---| | 基金资产配置 | allocation_asset | allocation_asset.py --code 006308 | | 行业分布 | allocation_sector | allocation_sector.py --code 006308 | | 重仓股分析 | allocation_holdings | allocation_holdings.py --code 006308 | | 持仓变动 | allocation_change | allocation_change.py --code 006308 |
| 数据类型 | 主要来源 | 备用来源 | 认证要求 | |:---|:---|:---|:---:| | 基金持仓 | AkShare | - | 无需 |
bash python scripts/allocation_asset.py --code 006308
bash python scripts/allocation_sector.py --code 006308
bash python scripts/allocation_holdings.py --code 006308
| 脚本名 | 功能 | 入口点 | |:---|:---|:---:| | allocation_asset.py | 资产配置 | ✅ | | allocation_sector.py | 行业配置 | ✅ | | allocation_holdings.py | 重仓股分析 | ✅ |
| 类型 | 股票仓位 | 适合市场 | |:---|:---:|:---| | 偏股型 | >60% | 牛市 | | 平衡型 | 40-60% | 震荡市 | | 偏债型 | <40% | 熊市 | | 债券型 | 0-20% | 保守 | | 货币型 | 0% | 现金管理 |
markdown--- 📊 **数据来源**: AkShare ⏱️ **数据时间**: 2026-03-19 📌 **报告期**: 2025Q4 📌 **基金代码**: 006308 🔗 **原始来源**: 基金季报 🔧 **分析工具**: FinClaw v1.0
akshare>=1.10.0
pandas>=1.3.0
pyyaml>=5.4.0| 版本 | 日期 | 变更内容 | |:---|:---:|:---| | 1.1.0 | 2026-03-19 | 符合FinClaw数据规范v1.0 | | 1.0.0 | 2026-03-13 | 初始版本 |
本Skill遵循 FinClaw 数据规范 v1.0 | 数据来源强制标注 | 禁止训练数据编造
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-10 | fail→pass | 15,298 | 8,367 | -45% | 1 | 1 | 0% | 2,221 | 2,280 | +3% | 0 | 0 | — |
case-03 | fail→pass | 14,843 | 13,152 | -11% | 1 | 1 | 0% | 2,967 | 2,719 | -8% | 0 | 0 | — |
case-01 | fail→pass | 11,588 | 12,402 | +7% | 1 | 1 | 0% | 2,025 | 2,784 | +37% | 0 | 0 | — |
case-02 | fail→fail | 20,369 | 43,736 | +115% | 1 | 1 | 0% | 3,399 | 8,502 | +150% | 0 | 0 | — |
case-04 | fail→pass | 24,302 | 5,177 | -79% | 1 | 1 | 0% | 3,853 | 1,823 | -53% | 0 | 0 | — |
case-05 | fail→pass | 13,916 | 3,106 | -78% | 1 | 1 | 0% | 2,377 | 1,672 | -30% | 0 | 0 | — |
case-06 | fail→pass | 15,005 | 2,978 | -80% | 1 | 1 | 0% | 2,082 | 1,555 | -25% | 0 | 0 | — |
case-07 | fail→pass | 11,073 | 4,258 | -62% | 1 | 1 | 0% | 1,820 | 1,829 | +0% | 0 | 0 | — |
case-08 | pass→pass | 13,240 | 4,463 | -66% | 1 | 1 | 0% | 2,044 | 1,865 | -9% | 0 | 0 | — |
case-09 | pass→pass | 16,525 | 5,940 | -64% | 1 | 1 | 0% | 2,230 | 2,090 | -6% | 0 | 0 | — |
case-11 | fail→pass | 16,875 | 10,110 | -40% | 1 | 1 | 0% | 2,235 | 2,708 | +21% | 0 | 0 | — |
case-12 | pass→pass | 16,035 | 16,386 | +2% | 1 | 1 | 0% | 2,335 | 3,622 | +55% | 0 | 0 | — |
case-13 | fail→pass | 14,727 | 3,310 | -78% | 1 | 1 | 0% | 2,247 | 1,585 | -29% | 0 | 0 | — |
case-14 | pass→pass | 14,299 | 4,268 | -70% | 1 | 1 | 0% | 1,922 | 1,803 | -6% | 0 | 0 | — |
case-15 | pass→pass | 14,248 | 5,105 | -64% | 1 | 1 | 0% | 2,141 | 1,826 | -15% | 0 | 0 | — |
case-16 | fail→pass | 26,335 | 18,341 | -30% | 1 | 1 | 0% | 3,574 | 3,327 | -7% | 0 | 0 | — |
case-17 | pass→pass | 13,318 | 11,456 | -14% | 1 | 1 | 0% | 1,685 | 2,696 | +60% | 0 | 0 | — |
case-18 | fail→pass | 8,036 | 2,368 | -71% | 1 | 1 | 0% | 1,250 | 1,430 | +14% | 0 | 0 | — |
case-19 | pass→pass | 11,447 | 3,570 | -69% | 1 | 1 | 0% | 1,779 | 1,698 | -5% | 0 | 0 | — |
case-20 | fail→fail | 23,578 | 33,734 | +43% | 1 | 1 | 0% | 3,938 | 6,449 | +64% | 0 | 0 | — |
case-21 | fail→fail | 18,385 | 46,861 | +155% | 1 | 1 | 0% | 3,640 | 9,329 | +156% | 0 | 0 | — |
case-22 | fail→fail | 38,922 | 27,081 | -30% | 1 | 1 | 0% | 5,807 | 6,388 | +10% | 0 | 0 | — |
case-23 | fail→fail | 34,010 | 30,278 | -11% | 1 | 1 | 0% | 5,105 | 7,138 | +40% | 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. 23 cases were attempted, and 22 counted toward the lift figure. The other 1 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +48 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.