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SKILL verified Apache-2.0 Self-run

China Variance Commentary

skill-jwangkun-claude-for-financial-services-cn-china-variance-commentary · by jwangkun

Write variance commentary for A-share fund performance and portfolio changes. Adapts the original variance-commentary skill for fund accounting and Chinese fund reporting conventions. Triggers on "基金业绩点评", "组合表现分析", "variance commentary fund", "基金表现分析", "业绩归因", or "commentary on [fund] performance".

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Install

$ agentstack add skill-jwangkun-claude-for-financial-services-cn-china-variance-commentary

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

china-variance-commentary

Purpose

Write professional 基金业绩点评 — structured variance commentary on fund performance and portfolio changes.

Data Sources

Tier 0 — 万得 Wind(最全面付费数据)

  • 覆盖:A股/港美股/基金/指数/债券/宏观/研报/分析(44个工具)
  • MCP 服务:wind-mcp(需 WIND_API_KEY 密钥,以 ak_ 开头)
  • 优势:全市场覆盖面最广、数据最全面、包含研报和量化分析
  • 密钥申请:https://aifinmarket.wind.com.cn/#/home

Tier 1 — 同花顺 iFind(付费精确数据)/ AkShare MCP(Tier-2 免费备选)

get_fund_data(fund_code)              → Fund NAV, performance
get_quote(ticker)                     → Individual security performance
get_index_data("000001")              → Benchmark data

Secondary Sources

  • 基金公司 — fund performance data
  • 托管行 — custody data
  • Wind / Choice — performance analytics

Workflow

Step 1: Gather Performance Data

Performance snapshot:

| Metric | Period | Benchmark | Active Return | |--------|--------|-----------|--------------| | 净值增长率 | X.XX% | X.XX% | X.XX% | | 年化收益率 | X.XX% | X.XX% | X.XX% | | 波动率 | X.XX% | X.XX% | | | 夏普比率 | X.XX | | | | 最大回撤 | X.XX% | | | | 卡尔马比率 | X.XX | | |

Step 2: Attribution Analysis

Performance attribution:

| Factor | Contribution | Description | |--------|-------------|-------------| | 资产配置 (Allocation) | X.XX% | Sector/security weight decisions | | 个股选择 (Selection) | X.XX% | Security picking within sectors | | 交互效应 (Interaction) | X.XX% | Combined effect |

Step 3: Sector Attribution

Sector performance:

| Sector | Weight | Return | Contribution | Benchmark Weight | Benchmark Return | Allocation Effect | Selection Effect | |--------|--------|--------|-------------|-----------------|-----------------|-----------------|-----------------| | | | | | | | | | | Total | 100% | | | | | | |

Step 4: Top/Bottom Contributors

Best/worst performers:

| # | Security | Ticker | Weight | Period Return | Contribution | |---|----------|--------|--------|--------------|-------------| | 1 (Best) | | | | | | | 2 | | | | | | | 3 | | | | | | | ... | | | | | | | (Worst) | | | | | | | (2nd Worst) | | | | | | | (3rd Worst) | | | | | |

Step 5: Risk Analysis

Risk metrics:

| Metric | Value | Benchmark | Assessment | |--------|-------|-----------|-----------| | 波动率 | X.XX% | X.XX% | Higher/Lower | | 最大回撤 | X.XX% | X.XX% | | | 下行偏差 | X.XX% | X.XX% | | | VaR (95%) | X.XX% | | | | Beta | X.XX | | | | Alpha | X.XX% | | |

Step 6: Holdings Changes

Changes since last period:

| Action | Security | Ticker | Reason | Impact | |--------|----------|--------|--------|--------| | New buy | | | | | | Add to | | | | | | Reduce | | | | | | Sold | | | | |

Step 7: Market Context

Market environment:

| Factor | Current | Prior Period | Change | |--------|---------|-------------|--------| | 上证指数 | | | | | 沪深300 | | | | | 创业板指 | | | | | 北向资金 | | | | | 成交量 | | | |

Step 8: Commentary

Standard format:

【业绩点评】[Fund Name] [Period]
报告期:[Date]
单位净值:¥X.XXXX
净值增长率:+/-X.XX%
基准收益率:+/-X.XX%
超额收益:+/-X.XX%

一、业绩概览
   [Overall performance summary]

二、归因分析
   [Attribution breakdown]

三、行业分析
   [Sector attribution]

四、重仓股表现
   [Top/bottom contributors]

五、风险指标
   [Risk metrics]

六、持仓变动
   [Changes in portfolio]

七、市场回顾
   [Market context]

八、展望
   [Forward outlook]

China-Specific Considerations

Fund Benchmarks

| Fund Type | Typical Benchmark | |-----------|------------------| | 股票型基金 | 沪深300 / 创业板指 | | 债券型基金 | 中债综合指数 | | 混合型基金 | 沪深300 × 50% + 中债 × 50% | | 指数基金 | Tracking index | | QDII | Relevant foreign index |

Performance Presentation

| Convention | China Practice | |-----------|----------------| | Return calculation | Geometric | | Benchmark | Contractual | | Reporting frequency | Daily for public funds | | Risk metrics | Standard set |

Quality Checks

Before delivering:

  • [ ] Performance data accurate
  • [ ] Attribution complete
  • [ ] Top/bottom contributors identified
  • [ ] Risk metrics calculated
  • [ ] Holdings changes documented
  • [ ] Market context current
  • [ ] Commentary balanced

> Data Source Mode Switch: Set env var IFIND_DATA_SOURCE_MODE to control data source preference. > - ifind-only (strict): Use iFind only, error if unavailable > - ifind-fallback (default): iFind preferred, fallback to AkShare > - akshare-only: Skip iFind, use AkShare only > - wind-only: Wind only, error if unavailable > - wind-fallback: Wind first, fallback to iFind → AkShare

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.