Install
$ agentstack add skill-jwangkun-claude-for-financial-services-cn-china-variance-commentary ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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.
- Author: jwangkun
- Source: jwangkun/claude-for-financial-services-cn
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.