Borrowing it
Nothing to install: this file belongs to belos-street/stock-analytics-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/belos-street/stock-analytics-skill/main/.agents/skills/fund-comparison/SKILL.mdgit clone --depth 1 https://github.com/belos-street/stock-analytics-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/belos-street/stock-analytics-skill/fund-comparison)<a href="https://agentmods.dev/skills/belos-street/stock-analytics-skill/fund-comparison"><img src="https://agentmods.dev/badge/skills/belos-street/stock-analytics-skill/fund-comparison/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/belos-street/stock-analytics-skill/fund-comparison"><img src="https://agentmods.dev/badge/skills/belos-street/stock-analytics-skill/fund-comparison.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00071 | $0.02193 |
| Opus 5 | $0.00036 | $0.01097 |
| Sonnet 5 | $0.00014 | $0.00439 |
| Haiku 4.5 | $0.00007 | $0.00219 |
Grade A, and why
fund-comparison scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
基金对比分析
技能核心定位
核心目标
专业的基金对比分析工具，基于数据对多只基金进行全方位、多维度的深度对比，生成专业的投资分析报告。支持客观中立分析和主观倾向性分析两种模式。
目标用户
- 基金选择者：在多只候选基金中选择最适合的
- 基金替换者：评估是否应该用基金A替换基金B
- 组合优化者：对比同类基金，选择性价比更高的
- 尽职调查者：全面评估基金的优劣势
- 学习投资者：理解不同基金的差异和特点
技能边界
可提供服务：
- 多维度业绩对比
- 风险指标对比分析
- 持仓结构对比
- 基金经理能力对比
- 费用成本对比
- 投资组合优化建议
不可提供服务：
- 具体买卖指令
- 承诺收益
- 预测基金净值
- 内幕信息
对比维度
1. 业绩对比
| 指标 | 说明 | 评判标准 |
|---|---|---|
| 近1月收益 | 短期表现 | 仅供参考 |
| 近3月收益 | 短期表现 | 仅供参考 |
| 近6月收益 | 中期表现 | 可参考 |
| 近1年收益 | 年度表现 | 重要指标 |
| 近3年收益 | 中期表现 | 核心指标 |
| 近5年收益 | 长期表现 | 核心指标 |
| 成立以来 | 全程表现 | 参考指标 |
2. 风险对比
| 指标 | 说明 | 评判标准 |
|---|---|---|
| 最大回撤 | 历史上最大亏损 | 越小越好 |
| 年化波动率 | 净值波动程度 | 越低越稳 |
| 夏普比率 | 风险调整收益 | 越高越好 |
| 卡玛比率 | 收益/最大回撤 | 越高越好 |
| 索提诺比率 | 下行风险调整收益 | 越高越好 |
3. 持仓对比
| 维度 | 分析内容 |
|---|---|
| 资产配置 | 股票/债券/现金比例 |
| 行业分布 | 前三大行业占比 |
| 重仓持股 | 前十大重仓股 |
| 换手率 | 交易频繁程度 |
| 集中度 | 前十大占比 |
4. 基金经理对比
| 维度 | 分析内容 |
|---|---|
| 从业年限 | 管理基金时间 |
| 管理规模 | 管理的基金规模 |
| 获奖情况 | 金牛奖等荣誉 |
| 风格稳定性 | 投资风格是否漂移 |
| 离职风险 | 是否可能离职 |
5. 费用对比
| 费用类型 | 说明 |
|---|---|
| 申购费 | 买入时收取 |
| 赎回费 | 卖出时收取 |
| 管理费 | 按年收取 |
| 托管费 | 按年收取 |
| 销售服务费 | C类份额收取 |
对比模式
客观分析模式
- 不带倾向性，全面展示各基金优劣势
- 适合： neutral "对比A和B哪个好"
- 输出：双方优劣势客观呈现
主观分析模式
- 根据用户倾向，重点分析目标基金
- 适合："A比B好在哪"
- 输出：重点分析A的优势
对比分析方法
1. 业绩归因分析
- Alpha：主动管理获取的超额收益
- Beta：跟随市场的收益
- 行业配置贡献：行业选择带来的收益
- 个股选择贡献：个股选择带来的收益
2. 风险调整收益分析
夏普比率 = (基金收益 - 无风险收益) / 基金波动率
卡玛比率 = 年化收益 / 最大回撤
索提诺比率 = (基金收益 - 无风险收益) / 下行波动率
3. 持仓结构分析
- 股票仓位：判断基金风险偏好
- 行业集中度：判断风险暴露
- 前十大持仓：判断选股能力
- 换手率：判断交易风格
4. 基金经理能力评估
- 选股能力：能否选中上涨股票
- 时机能力：能否判断市场走势
- 风控能力：能否控制回撤
- 稳定性：业绩是否持续
报告输出格式
基金对比报告
# 基金对比分析报告
## 对比标的
- 基金A：XXXX（代码）
- 基金B：XXXX（代码）
- 基金C：XXXX（代码）
## 一、业绩对比
### 收益率对比
| 指标 | 基金A | 基金B | 基金C |
|------|-------|-------|-------|
| 近1年 | xx% | xx% | xx% |
| 近3年 | xx% | xx% | xx% |
| 近5年 | xx% | xx% | xx% |
### 风险指标对比
| 指标 | 基金A | 基金B | 基金C |
|------|-------|-------|-------|
| 最大回撤 | xx% | xx% | xx% |
| 夏普比率 | x.xx | x.xx | x.xx |
| 卡玛比率 | x.xx | x.xx | x.xx |
### 业绩归因
| 贡献来源 | 基金A | 基金B |
|---------|-------|-------|
| Alpha | xx% | xx% |
| 行业配置 | xx% | xx% |
| 个股选择 | xx% | xx% |
## 二、持仓对比
### 资产配置
| 资产类别 | 基金A | 基金B |
|---------|-------|-------|
| 股票 | xx% | xx% |
| 债券 | xx% | xx% |
| 现金 | xx% | xx% |
### 行业分布
| 行业 | 基金A | 基金B |
|------|-------|-------|
| 食品饮料 | xx% | xx% |
| 医药 | xx% | xx% |
| 科技 | xx% | xx% |
## 三、基金经理对比
| 维度 | 基金A | 基金B |
|------|-------|-------|
| 从业年限 | X年 | X年 |
| 管理规模 | X亿 | X亿 |
| 获奖情况 | X座金牛 | X座金牛 |
## 四、综合结论
### 基金A
- 优势：
- 劣势：
- 适合投资者：
### 基金B
- 优势：
- 劣势：
- 适合投资者：
### 投资建议
- 核心配置：
- 卫星配置：
- 不建议配置：
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 270 lines · 71 tokens per session scan A b7b95c679686
fund-comparison is a skill published in the GitHub repository belos-street/stock-analytics-skill (49 stars, last pushed 29d ago), licensed MIT. It adds 71 tokens to every session and 2,193 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.
reading-receipt
An image-reading workflow for extracting structured information from receipts, invoices, and hometown-tax donation certificates. It can first extract text from PDFs and otherwise read their images.