stock-quotes-list

stock-quotes-list is a skill for Claude Code, Codex from FTShare-Lab/FTShare-skill. It costs 64 tokens per session (1,633 once invoked), scanned A, original, MIT.

A paginated list of current market quotes for Shanghai, Shenzhen, and Beijing A-share stocks. It can filter by market section and sort stocks by measures such as price change, turnover, volume, or market value.

In plain words
What is it for?
Use it to build a stock market screen, find the biggest movers, or display an A-share quotes table.
Why use it?
It avoids manually scanning separate stock pages when you need a ranked market list. Pagination helps handle many results.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to build a stock market screen, find the biggest movers, or display an A-share quotes table.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ftshare-lab/ftshare-skill/stock-quotes-list
Install

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.

Any agent
npx skills add FTShare-Lab/FTShare-skill --skill stock-quotes-list
Clone the repo
git clone --depth 1 https://github.com/FTShare-Lab/FTShare-skill

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for stock-quotes-list

README.md
[![agentmods](https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stock-quotes-list/github.svg)](https://agentmods.dev/skills/ftshare-lab/ftshare-skill/stock-quotes-list)
Your own site
<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/stock-quotes-list"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stock-quotes-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.

agentmods 80×15 button for stock-quotes-list

Your own site · 80×15
<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/stock-quotes-list"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stock-quotes-list.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,633 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00064 $0.01633
Opus 5 $0.00032 $0.00816
Sonnet 5 $0.00013 $0.00327
Haiku 4.5 $0.00006 $0.00163

Measured 6d ago against content hash 591431bd67cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

stock-quotes-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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/handler.py, scripts/test_handler.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

ftshare-market-data/sub-skills/stock-quotes-list/SKILL.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

查询 A 股行情列表(分页)

接口说明

项目 说明
接口名称 查询 A 股行情列表(分页)
外部接口 /api/v1/market/data/daec/stocks
请求方式 GET
适用场景 获取 A 股(沪深京)股票行情列表,支持按板块筛选、多字段排序与分页,用于行情中心「个股行情」等列表展示

请求头要求:必须携带 X-Client-Name: ft-claw,否则返回参数错误。

请求参数

说明:order_bypage_nopage_size 为必填项;filtermasks 为可选项,用于筛选与字段控制。

参数名 类型 是否必填 描述 取值示例 备注
order_by string 排序规则,格式为「字段 排序方向」 change_rate desc 常用:change_rate desc、change desc、latest desc、turnover desc、volume desc、market_cap_total desc、turnover_rate desc、change_rate_5d desc、amplitude desc;方向为 asc/desc
page_no int 页码,从 1 开始 1 必须大于等于 1
page_size int 每页记录数 30 必须大于等于 1,建议不超过 100
filter string 筛选条件表达式 (ex_id = "XSHE" OR ex_id = "XSHG" OR ex_id = "BJSE") AND (latest != null) 见下方「filter 常用取值」
masks string 返回字段掩码/控制 - 不传则返回默认字段集

filter 常用取值(按板块)

板块 filter 取值
全部股票 (ex_id = "XSHE" OR ex_id = "XSHG" OR ex_id = "BJSE") AND (latest != null)
上交主板 ex_id = "XSHG" AND latest != null
深交主板 ex_id = "XSHE" AND latest != null
北交主板 ex_id = "BJSE" AND latest != null
科创板 board = "XSHG_STAR" AND latest != null
创业板 board = "XSHE_CHI_NEXT" AND latest != null

执行方式

通过根目录的 run.py 调用(推荐):

python <RUN_PY> stock-quotes-list --order_by "change_rate desc" --page_no 1 --page_size 30

可选参数:--filter--masks。示例(仅科创板):

python <RUN_PY> stock-quotes-list --order_by "change_rate desc" --page_no 1 --page_size 30 --filter 'board = "XSHG_STAR" AND latest != null'

<RUN_PY> 为主 SKILL.md 同级的 run.py 绝对路径,参见主 SKILL.md 的「调用方式」说明。

响应说明

返回当前页股票列表及总条数,数据模型如下:

{
    "total_size": 5000,
    "stocks": [ { "StockInfo" } ]
}

顶层字段

字段名 类型 是否可为空 说明
total_size int 符合筛选条件的总记录数,用于分页计算
stocks array 当前页股票列表,元素为 StockInfo

StockInfo 结构

字段名 类型 是否可为空 说明 单位
name string 股票名称 -
symkey string 股票唯一标识,带市场后缀(如 920036.BJ、002445.SZ) -
symbol_id string 证券代码(不含市场后缀) -
ex_id string 交易所标识:XSHG(上交所)、XSHE(深交所)、BJSE(北交所) -
board string 板块标识,如 XSHG_STAR(科创板)、XSHE_CHI_NEXT(创业板) -
latest number 最新价
open number 今开;非交易时段或未开盘时可能为空
high number 最高价
low number 最低价
prev_close number 前收盘价
close number 收盘价
change number 涨跌额
change_rate number 涨跌幅,小数值(如 0.1175 表示 11.75%) 小数
turnover number 成交额;非交易时段或停牌可为 0
volume number 成交量(股);前端常除以 100 显示为「手」
market_cap_total number 总市值
turnover_rate number 换手率,小数值(如 0.05 表示 5%);非交易时段可为 0 小数
change_rate_5d number 五日涨跌幅,小数值 小数
amplitude number 振幅,小数值 小数
limit_up number 涨停价
limit_down number 跌停价
is_in_default_choice_group boolean 是否在用户默认自选列表中;未登录时为 null -
trading_status string 交易状态:LIMIT_UP(涨停)、LIMIT_DOWN(跌停)、NORMAL(正常) -
symbol_status object 标的状态,含 base、extra 等 -
margin_status string 融资融券状态:BOTH、NONE 等 -
industry_sector object 行业板块,含 code、name -

Read the full file on GitHub · 111 lines

Files

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.

Changes

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.

  1. 6d ago First seen · 111 lines · 64 tokens per session scan A 591431bd67cb

Subscribe to this mod's changes

stock-quotes-list is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed 2d ago), licensed MIT. It adds 64 tokens to every session and 1,633 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 2026-09-03.

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