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 hsi-daily-weightgit 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/hsi-daily-weight)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/hsi-daily-weight"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/hsi-daily-weight/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/hsi-daily-weight"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/hsi-daily-weight.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 | $0.00118 | $0.01575 |
| Opus 5 | $0.00059 | $0.00788 |
| Sonnet 5 | $0.00024 | $0.00315 |
| Haiku 4.5 | $0.00012 | $0.00158 |
Grade A, and why
hsi-daily-weight 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 6d 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.
查询恒生系列指数成份股权重
接口说明
| 项目 | 说明 |
|---|---|
| 接口名称 | 对外接口-查询恒生指数成分权重 |
| 接口列表 | hsi-daily-weight |
| 外部接口 | GET /api/v1/market/data/hk/hsi-daily-weight |
| 请求方式 | GET |
| 适用场景 | 查询恒生系列指数成份股的权重数据，支持按交易日、日期范围、指数代码、股票代码过滤。数据来源 MySQL xz02.base_data.hsi_daily_weight。 |
请求参数
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
| trade_date | int | 否 | 交易日 | 20260529 | YYYYMMDD；与 start_date/end_date 互斥 |
| start_date | int | 否 | 交易日下界 | 20260501 | YYYYMMDD；须与 end_date 同时提供 |
| end_date | int | 否 | 交易日上界 | 20260529 | YYYYMMDD；须与 start_date 同时提供 |
| index_slug | string | 否 | 指数代码（大小写不敏感） | HSI | HSI(恒生)/HSCEI(国企)/HSAIT(见注意) |
| stock_code | string | 否 | 4 位港股代码 | 0700 | 如 0700(腾讯)，4 位非 5 位 |
| page / page_size | int | 否 | 分页 | 1 / 50 | 默认 1 / 50，page_size 最大 200 |
至少需要一个过滤条件：
trade_date、start_date+end_date、index_slug、stock_code，否则 400。
执行方式
# 恒生指数 HSI 某日成份权重（先按指数取，再按最新交易日筛）
python scripts/handler.py --index_slug HSI --page 1 --page_size 200
# 某日某指数成份权重
python scripts/handler.py --trade_date 20260529 --index_slug HSCEI
# 某股票在各指数的权重历史
python scripts/handler.py --stock_code 0700
# 日期范围 + 指数
python scripts/handler.py --start_date 20260501 --end_date 20260529 --index_slug HSI
响应结构（信封：code/message/data.records）
{
"code": 0, "message": "success",
"data": {
"pageNum": 1, "pageSize": 50, "total": 90, "pages": 2,
"records": [
{ "trade_date": "2026-05-29", "index_slug": "hsi", "index_name": "hsi",
"stock_code": "0700", "stock_name": "TENCENT 騰訊控股", "weight_pct": "8.4",
"source_file": "con_29May26.pdf", "url_hash": "...", "processed_at": "2026-05-29 19:34:36" }
]
}
}
⚠️ 数据在
data.records，不是顶层数组。
records 字段
| 字段 | 说明 |
|---|---|
| trade_date | 交易日 YYYY-MM-DD |
| index_slug | 指数代码（小写，如 hsi/hscei/hsait） |
| index_name | 当前与 index_slug 相同（小写代码，非中文名） |
| stock_code | 4 位港股代码（0700，非 00700） |
| stock_name | 股票名称（多为英文/繁体，如 TENCENT 騰訊控股） |
| weight_pct | 权重百分比，字符串（如 "8.4"）；未缩放，直接是百分数 |
| source_file / url_hash / processed_at | 来源文件 / URL 哈希 / 处理时间 |
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.
- 6d ago First seen · 94 lines · 118 tokens per session scan A 8f437f618753
hsi-daily-weight is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed 2d ago), licensed MIT. It adds 118 tokens to every session and 1,575 once invoked, about $0.0006 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 2026-09-03.
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