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-listgit 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-list)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/index-weight-list"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/index-weight-list/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-list"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/index-weight-list.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 | $0.00114 | $0.01119 |
| Opus 5 | $0.00057 | $0.00560 |
| Sonnet 5 | $0.00023 | $0.00224 |
| Haiku 4.5 | $0.00011 | $0.00112 |
Grade A, and why
index-weight-list 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
分页查询指数权重列表（index-weight-list）
1. 接口描述
| 项目 | 说明 |
|---|---|
| 接口名称 | 分页查询指数权重列表 |
| 外部接口 | /api/v1/market/data/index/index_weight |
| 请求方式 | GET |
| 适用场景 | 按指数代码（及可选日期）分页查询成份权重明细；每条记录含成份代码、名称、权重比例及该期文件 url_hash |
2. 请求参数
说明：使用查询参数。服务端校验 index_code 非空，否则返回错误。
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
| index_code | string | 是 | 指数代码 | 000300 | 不能为空或仅空白 |
| date | string | 否 | 查询日期，格式 YYYYMMDD |
20250320 | 不传则由上游默认行为决定 |
| 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 IndexWeightListResponse。
IndexWeightListResponse 结构
| 字段名 | 类型 | 是否可为空 | 说明 | 单位 |
|---|---|---|---|---|
| total | int | 否 | 总条数 | - |
| page | int | 否 | 当前页码 | - |
| page_size | int | 否 | 每页条数 | - |
| index_weights | array | 否 | 权重明细列表 | - |
IndexWeightInfo 结构（index_weights 元素）
| 字段名 | 类型 | 是否可为空 | 说明 | 单位 |
|---|---|---|---|---|
| date | String | 否 | 权重日期，YYYYMMDD（线上也可能为其他日期字符串格式，以实际为准） |
- |
| index_code | String | 否 | 指数代码 | - |
| component_code | String | 否 | 成份证券代码 | - |
| component_name | String | 否 | 成份证券名称 | - |
| weight | String | 否 | 权重（字符串形式，与上游一致） | - |
| url_hash | String | 否 | 该期完整权重表文件的哈希，可用于下载 xlsx | - |
4. 调用方式
本 handler 与上级 FTShare-index-data/run.py 配合使用：
python <RUN_PY> index-weight-list --index-code 000300 --date 20250320 --page 1 --page-size 20
python <RUN_PY> index-weight-list --index-code 000300 --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 --index-code 000300 --date 20250320 --page 1 --page-size 20
（需在 sub-skills/index-weight-list 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 2 步。
- 前置：
index-weight-summary→ 取得index_code与可用date。 - 下游：返回的
url_hash→index-weight-download --url-hash <url_hash>下载整期 xlsx。
名称→代码映射
--index-code 只接受纯 6 位指数代码（如 000300），不接受中文名称。
若用户给出中文名称（如"沪深300"），须先映射：
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 · 90 lines · 114 tokens per session scan A 23f6e3173b6e
index-weight-list is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed 3d ago), licensed MIT. It adds 114 tokens to every session and 1,119 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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