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 index-weight-summarygit 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/index-weight-summary)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/index-weight-summary"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/index-weight-summary/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/index-weight-summary"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/index-weight-summary.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 | $0.00104 | $0.00969 |
| Opus 5 | $0.00052 | $0.00485 |
| Sonnet 5 | $0.00021 | $0.00194 |
| Haiku 4.5 | $0.00010 | $0.00097 |
Grade A, and why
index-weight-summary 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 7d 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
分页查询指数权重汇总（index-weight-summary）
1. 接口描述
| 项目 | 说明 |
|---|---|
| 接口名称 | 分页查询指数权重汇总 |
| 外部接口 | /api/v1/market/data/index/index_weight_summary |
| 请求方式 | GET |
| 适用场景 | 按指数汇总各期权重数据的 date 与 url_hash；可用 index_code 定位单个指数，便于再调用「下载指数权重文件」获取具体权重表 |
2. 请求参数
说明：使用查询参数。
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
| index_code | string | 否 | 指数代码 | 000300 | 不传则分页返回全部指数 |
| page | int | 否 | 页码 | 1 | 默认 1 |
| page_size | int | 否 | 每页条数 | 20 | 默认 20，最大 100 |
3. 响应说明
返回值为分页列表对象 IndexWeightSummaryListResponse。
IndexWeightSummaryListResponse 结构
| 字段名 | 类型 | 是否可为空 | 说明 | 单位 |
|---|---|---|---|---|
| total | int | 否 | 总条数（按指数汇总的记录数） | - |
| page | int | 否 | 当前页码 | - |
| page_size | int | 否 | 每页条数 | - |
| index_weights | array | 否 | 单只指数的期数汇总列表 | - |
IndexWeightSummary 结构（index_weights 元素）
| 字段名 | 类型 | 是否可为空 | 说明 | 单位 |
|---|---|---|---|---|
| index_code | String | 否 | 指数代码 | - |
| periods | array | 否 | 该指数各期的日期与下载用 url_hash | - |
IndexWeightPeriod 结构（periods 元素）
| 字段名 | 类型 | 是否可为空 | 说明 | 单位 |
|---|---|---|---|---|
| date | String | 否 | 权重日期；文档示例为 YYYYMMDD，线上也可能为 YYYY-MM-DD，以实际返回为准 |
- |
| url_hash | String | 否 | 该期权重文件的哈希 | - |
4. 调用方式
本 handler 与上级 FTShare-index-data/run.py 配合使用：
python <RUN_PY> index-weight-summary --index-code 000300 --page 1 --page-size 20
python <RUN_PY> index-weight-summary --page 1 --page-size 20
其中 <RUN_PY> 为 FTShare-index-data/run.py 的绝对路径。
直接执行 handler（调试）
python scripts/handler.py --page 1 --page-size 20
python scripts/handler.py --index-code 000300 --page 1 --page-size 20
（需在 sub-skills/index-weight-summary 目录下执行，或传入脚本完整路径。）
5. 链路说明
本接口为权重链第 1 步。
- 取到
index_code+date→ 可调index-weight-list --index_code <code> --date <date>查成份明细。 - 取到
url_hash→ 可调index-weight-download --url-hash <url_hash>直接下载整期 xlsx。
6. 请求示例
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.
- 7d ago First seen · 85 lines · 104 tokens per session scan A 5ec1eb4516b9
index-weight-summary is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed 3d ago), licensed MIT. It adds 104 tokens to every session and 969 once invoked, about $0.0005 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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