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-net-valuegit 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-net-value)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/etf-net-value"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/etf-net-value/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-net-value"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/etf-net-value.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00057 | $0.00964 |
| Opus 5 | $0.00028 | $0.00482 |
| Sonnet 5 | $0.00011 | $0.00193 |
| Haiku 4.5 | $0.00006 | $0.00096 |
Grade A, and why
etf-net-value 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 yesterday.
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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ETF 历史净值
1. 接口描述
| 项目 | 说明 |
|---|---|
| 接口名称 | ETF 净值（etf_net_value） |
| 外部接口 | GET /api/v2/market/data/etf-net-value |
| 请求方式 | GET（query 参数） |
| 适用场景 | 按 ETF 代码分页查询历史净值：发布日、净值日期、资产净值、单位净值、累计净值、净值增长率、复权净值、每万份收益、7 日年化收益率；支持单日或日期区间查询 |
2. 请求参数
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
| etf_code | string | 是 | ETF 代码 | 510300 | 兼容参数名 fund_code，建议使用 etf_code |
| nav_date | int | 二选一 | 净值日期 | 20260909 | YYYYMMDD；与日期区间参数互斥 |
| start_date | int | 二选一 | 净值开始日期 | 20260901 | 须与 end_date 同时提供 |
| end_date | int | 二选一 | 净值结束日期 | 20260909 | 须与 start_date 同时提供 |
| page | int | 否 | 页码 | 1 | 从 1 开始，默认 1 |
| page_size | int | 否 | 每页条数 | 50 | 默认 50，最大 200 |
| --all | - | 否 | 自动翻页拉全量 | - | 仅本子 skill 扩展参数 |
3. 响应说明
外层固定为 code / message / data。data 为分页对象：items（列表）、total_pages、total_items。
items 元素：
| 字段名 | 类型 | 说明 |
|---|---|---|
| trade_code | string | ETF 交易代码 |
| publish_date | int | 发布日期 YYYYMMDD |
| nav_date | int | 净值日期 YYYYMMDD |
| net_asset | string | 资产净值 |
| unit_nav | string | 单位净值 |
| unit_nav_growth | string | 单位净值增长率（%） |
| accumulated_nav | string | 累计单位净值 |
| adjustment_factor | string | 复权因子 |
| adjusted_unit_nav | string | 复权单位净值 |
| adjusted_unit_nav_growth | string | 复权单位净值增长率（%） |
| daily_profit | string | 每万份基金收益 |
| seven_day_annualized_return | string | 7 日年化收益率（%） |
4. 调用方式
python <RUN_PY> etf-net-value --etf-code 510300 --nav-date 20260909
python <RUN_PY> etf-net-value --etf-code 510300 --start-date 20260901 --end-date 20260909 --page 1 --page-size 5
python <RUN_PY> etf-net-value --etf-code 510300 --start-date 20260801 --end-date 20260909 --all
<RUN_PY> 为主 SKILL.md 同级 run.py 的绝对路径。输出 JSON；HTTP 错误输出到 stderr 并以非零状态退出。
5. 注意事项
- 必须提供
nav_date，或同时提供start_date和end_date；二者互斥（handler 会在本地校验并拒绝）。 - 日期格式 YYYYMMDD；区间查询包含开始和结束日期，
start_date不得晚于end_date。 - 数值字段以字符串形式返回，以保留小数精度。
--all会按total_pages自动翻页，把所有items合并为一个数组返回。
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.
- yesterday First seen · 66 lines · 57 tokens per session scan A 647b14f68dc2
etf-net-value is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (64 stars, last pushed yesterday), licensed MIT. It adds 57 tokens to every session and 964 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 2026-09-11.
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