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-list-paginatedgit 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-list-paginated)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/etf-list-paginated"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/etf-list-paginated/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-list-paginated"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/etf-list-paginated.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 | $0.00051 | $0.01196 |
| Opus 5 | $0.00026 | $0.00598 |
| Sonnet 5 | $0.00010 | $0.00239 |
| Haiku 4.5 | $0.00005 | $0.00120 |
Grade A, and why
etf-list-paginated 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 10d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ETF 分页列表 - 分页、排序、筛选
1. 接口描述
| 项目 | 说明 |
|---|---|
| 接口名称 | ETF 分页列表 |
| 外部接口 | GET /api/v1/market/data/daec/etfs |
| 请求方式 | GET |
| 适用场景 | 分页获取 A 股 ETF 列表，支持按字段排序、按条件筛选、按需返回字段（masks）；不传分页参数时返回全部（先筛选、排序后再截断） |
2. 请求参数
说明：所有参数均为可选项。不传 order_by 且不传 ob 时默认按 change_rate desc 排序；不传分页时返回满足条件的全部 ETF。
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
| order_by | string | 否 | 排序方式，格式为「字段 方向」，多字段用逗号分隔 | change_rate desc、name asc | 方向：asc/a 升序，desc/d 降序；字段为 Etf 字段名 |
| ob | string | 否 | 与 order_by 同义 | 同 order_by | 与 order_by 二选一，同时传以 order_by 为准 |
| filter | string | 否 | 过滤条件表达式 | change_rate != null、name ~ "沪深" | 见下方 filter 取值说明 |
| masks | string | 否 | 字段掩码，逗号分隔，仅返回这些字段 | name,symkey,latest,change_rate | 不传则返回全部字段 |
| page_size | int | 否 | 每页条数 | 20 | 不传则不分页 |
| page_no | int | 否 | 页码，从 1 开始 | 1 | 不传且传了 page_size 时默认为 1 |
| filter_index | boolean | 否 | 是否需要指数过滤 | true、false | 默认 false |
filter 取值说明：表达式语法为 字段 操作符 值。比较操作符：=、!=、>、>=、<、<=；~ 子串包含；: 包含。逻辑组合：AND、OR、NOT，可用 () 分组。值可为 null、true、false、数字、双引号字符串。复杂表达式可 Base64 编码后以 _B64: 开头传入。示例：change_rate != null、change_rate >= 0 AND change_rate <= 0.1、name ~ "科技"。
3. 响应说明
返回分页后的 ETF 列表及总数。列表中每项为单只 ETF 对象（结构同单只 ETF 详情）；不传 masks 时每只返回全部字段。
{
"total_size": 800,
"etfs": [
{ "name": "上证50ETF", "symkey": "510050.XSHG", "latest": 2.85, "change_rate": 0.0018 },
{ "name": "创业板ETF", "symkey": "159915.XSHE", "latest": 1.92, "change_rate": -0.0052 }
]
}
| 字段名 | 类型 | 说明 |
|---|---|---|
| total_size | int | 满足筛选条件的 ETF 总数（分页前） |
| etfs | array | 当前页的 ETF 列表；单条字段同「单只 ETF 详情」（name、symkey、latest、change_rate、volume、turnover 等） |
4. 用法
通过主目录 run.py 调用（参数均可选）：
python <RUN_PY> etf-list-paginated
python <RUN_PY> etf-list-paginated --order_by "change_rate desc" --page_size 20 --page_no 1
python <RUN_PY> etf-list-paginated --order_by "name asc" --masks name,symkey,latest,change_rate --page_size 50
python <RUN_PY> etf-list-paginated --filter "change_rate >= 0.01 AND change_rate <= 0.05"
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.
- 10d ago First seen · 75 lines · 51 tokens per session scan A 5e93cda31f97
etf-list-paginated is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed 2d ago), licensed MIT. It adds 51 tokens to every session and 1,196 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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