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 skills add FTShare-Lab/FTShare-skill --skill etf-detailgit 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-detail)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/etf-detail"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/etf-detail/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/ftshare-lab/ftshare-skill/etf-detail"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/etf-detail.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 | $0.00056 | $0.01211 |
| Opus 5 | $0.00028 | $0.00606 |
| Sonnet 5 | $0.00011 | $0.00242 |
| Haiku 4.5 | $0.00006 | $0.00121 |
Grade A, and why
etf-detail scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
单只 ETF 详情 - 查询单只 ETF 详情
1. 接口描述
| 项目 | 说明 |
|---|---|
| 接口名称 | 查询单只 ETF 详情 |
| 外部接口 | GET /api/v1/market/data/daec/etf?symbol=:etf |
| 请求方式 | GET |
| 适用场景 | 获取 A 股指定 ETF 的详情（名称、行情、盘口、市值、涨跌幅、跟踪指数、投资类型等）；支持通过 masks 按需返回部分字段；带登录态时可能包含是否在默认分组 |
2. 请求参数
说明：etf 为路径参数（必填），masks 为可选项。
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
| etf | string | 是 | ETF 标的键（路径参数，带市场后缀） | 510050.XSHG、159915.XSHE、920036.BJ | 沪 .XSHG、深 .XSHE、北交所 .BJ |
| masks | string | 否 | 字段掩码，逗号分隔的字段名，仅返回这些字段 | name,symkey,latest,change_rate | 不传则返回全部字段；字段名须匹配正则 ^[a-zA-Z_][a-zA-Z0-9_]*$，非法字段名会报错 |
3. 响应说明
返回单只 ETF 对象。不传 masks 时返回全部字段，传 masks 时仅返回指定字段；各字段均可能为 null 或不存在。价格类保留 4 位小数。
{
"name": "上证50ETF",
"symkey": "510050.XSHG",
"latest": 2.85,
"prev_close": 2.845,
"change_rate": 0.0018,
"volume": 125000000,
"turnover": 356000000.0,
"tracking_index_symkey": "000016.XSHG"
}
根字段（部分常用）
| 字段名 | 类型 | 是否可为空 | 说明 | 单位 |
|---|---|---|---|---|
| name | string | 是 | ETF 名称 | — |
| symkey | string | 是 | 标的键 | — |
| symbol_id | string | 是 | 标的 ID | — |
| ex_id | string | 是 | 市场 ID | — |
| tracking_index_symkey | string | 是 | 跟踪指数标的键 | — |
| latest | float | 是 | 最新价 | 元 |
| close | float | 是 | 收盘价 | 元 |
| open | float | 是 | 开盘价 | 元 |
| high | float | 是 | 最高价 | 元 |
| low | float | 是 | 最低价 | 元 |
| prev_close | float | 是 | 昨收价 | 元 |
| limit_up | float | 是 | 涨停价 | 元 |
| limit_down | float | 是 | 跌停价 | 元 |
| change | float | 是 | 涨跌额 | 元 |
| change_rate | float | 是 | 涨跌幅 | % |
| volume | long | 是 | 成交量 | 份 |
| turnover | float | 是 | 成交额 | 元 |
| turnover_rate | float | 是 | 换手率 | % |
| market_cap_total | float | 是 | 总市值 | 元 |
| market_cap_circulating | float | 是 | 流通市值 | 元 |
| invest_kind | string | 是 | 投资标的类型 | — |
| invest_strategy | string | 是 | 投资策略分类 | — |
| trade_mode | string | 是 | 交易模式 | — |
| is_in_default_choice_group | boolean | 是 | 是否在默认分组（需登录） | — |
4. 用法
通过主目录 run.py 调用（必填 --etf，可选 --masks）：
What ships with it
2 files 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.
- 9d ago First seen · 94 lines · 56 tokens per session scan A 1779a000959d
etf-detail is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed yesterday), licensed MIT. It adds 56 tokens to every session and 1,211 once invoked, about $0.0003 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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