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-description-allgit 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-description-all)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/index-description-all"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/index-description-all/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-description-all"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/index-description-all.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 | $0.00043 | $0.00604 |
| Opus 5 | $0.00022 | $0.00302 |
| Sonnet 5 | $0.00009 | $0.00121 |
| Haiku 4.5 | $0.00004 | $0.00060 |
Grade A, and why
index-description-all 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.
What it actually says
指数 - 查询全部指数基础信息
1. 接口描述
| 项目 | 说明 |
|---|---|
| 接口名称 | 查询全部指数基础信息 |
| 外部接口 | GET /api/v1/market/data/index-description-all |
| 请求方式 | GET |
| 适用场景 | 获取当前服务支持的 A 股相关指数列表及简称、全称、市净率、市盈率（TTM）等基础信息 |
2. 请求参数
说明：该接口无需请求参数。
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
| - | - | - | 无需参数 | - | - |
3. 响应说明
返回值为指数基础信息数组。
[
{
"symbol": "000001.XSHG",
"full_name": "上证综合指数",
"name": "上证指数",
"pb": 1.5234,
"pe_ttm": 16.5903
}
]
IndexDescriptionItem 结构
| 字段名 | 类型 | 是否可为空 | 说明 | 单位 |
|---|---|---|---|---|
| symbol | string | 否 | 指数代码，一般为六位代码加交易所后缀（如 000001.XSHG、399001.XSHE、899050.BJSE） |
- |
| full_name | string | 否 | 指数全称 | - |
| name | string | 否 | 指数简称 | - |
| pb | float | 是 | 市净率（LF），无数据时为 null | - |
| pe_ttm | float | 是 | 市盈率（TTM），无数据时为 null | - |
4. 用法
通过主目录 run.py 调用（无参数）：
python <RUN_PY> index-description-all
<RUN_PY> 为主 SKILL.md 同级的 run.py 绝对路径。脚本输出 JSON；请求头已内置 X-Client-Name: ft-claw。
5. 请求示例
GET /api/v1/market/data/index-description-all
6. 注意事项
- 响应为数组；字段
pb、pe_ttm可能为null。 - 数据更新时间以服务端为准。
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 · 71 lines · 43 tokens per session scan A 36f67859d383
index-description-all is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed 2d ago), licensed MIT. It adds 43 tokens to every session and 604 once invoked, about $0.0002 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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