Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/ftshare-lab/ftshare-skill/etf-componentnpx skills add FTShare-Lab/FTShare-skill --skill etf-componentgit clone --depth 1 https://github.com/FTShare-Lab/FTShare-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/ftshare-lab/ftshare-skill/etf-component)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/etf-component"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/etf-component.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00040 | $0.00620 |
| Opus 5 | $0.00020 | $0.00310 |
| Sonnet 5 | $0.00008 | $0.00124 |
| Haiku 4.5 | $0.00004 | $0.00062 |
Grade A, and why
etf-component 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 4d 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.
What it actually says
查询单只 ETF 成份
1. 接口描述
| 项目 | 说明 |
|---|---|
| 接口名称 | 查询单只 ETF 成份 |
| 外部接口 | GET /api/v1/market/data/etf-component |
| 请求方式 | GET |
| 适用场景 | 根据标的代码查询单只 ETF 的成份股列表（成份股代码与名称）；未找到或报错时接口返回相应错误信息 |
2. 请求参数
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
| symbol | string | 是 | ETF 标的代码，带交易所后缀 | 510300.XSHG、159915.XSHE | 支持 510300.XSHG、510300.SH 等格式 |
3. 响应说明
返回单条 ETF 成份结构，与全量接口 etf-components-all 中单条结构一致。
{
"symbol": "510300.SH",
"components": ["600000.SH", "601318.SH", "600519.SH"],
"components_name": ["浦发银行", "中国平安", "贵州茅台"]
}
根字段说明
| 字段名 | 类型 | 是否可为空 | 说明 |
|---|---|---|---|
| symbol | string | 否 | ETF 标的代码，带市场后缀 |
| components | array | 否 | 成份股代码列表，与 components_name 一一对应 |
| components_name | array | 否 | 成份股名称列表，与 components 一一对应 |
4. 用法
通过主目录 run.py 调用（必填 --symbol）：
python <RUN_PY> etf-component --symbol 510300.XSHG
python <RUN_PY> etf-component --symbol 159915.XSHE
<RUN_PY> 为主 SKILL.md 同级的 run.py 绝对路径。脚本输出 JSON；接口报错或未找到时，将接口返回的错误信息原样输出到 stderr 并退出码 1。
5. 请求示例
GET /api/v1/market/data/etf-component?symbol=510300.XSHG
6. 数据更新时间与注意事项
- 数据更新时间以接口/数据源为准。
- 成份列表与名称以接口返回为准；展示时
components与components_name按索引一一对应。
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 64 lines · 40 tokens per session scan A 0bec312614a8
etf-component is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed today), licensed MIT. It adds 40 tokens to every session and 620 once invoked, about $0.0002 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.
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