Economic china tax revenue monthly

Skill FTShare-Lab/FTShare-skills/ftshare-market-data/sub-skills/economic-china-tax-revenue-monthly

Get China tax revenue monthly data (全国税收收入月度). Use when user asks about 全国税收收入, 税收收入, 税收月度, 中国税收, China tax revenue.From its SKILL.md

Install

npx -y skills add FTShare-Lab/FTShare-skills --skill economic-china-tax-revenue-monthly

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

runs commandsInstructs the agent to run 1 command, including `python script/handler.py`.
fetches URLsInstructs the agent to fetch 1 URL, including /api/v1/market/data/economic/china-tax-revenue.

SKILL.md

2.2 KB, 681 tokens by cl100k_base, as published. Nobody here has run it

中国经济 - 全国税收收入（月度）

1. 接口描述

项目	说明
接口名称	全国税收收入（月度汇总计算结果）
外部接口	GET /api/v1/market/data/economic/china-tax-revenue
请求方式	GET
适用场景	获取中国全国税收收入月度数据，含当月值、累计值、累计同比、月度环比、月度同比等

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. 用法

直接执行：

python script/handler.py

脚本输出 JSON 数组，按时间倒序，每项含 month（如 2025年05月）、monthly_revenue（当月税收，亿元）、cumulative_revenue（累计税收，亿元）、yoy_growth（累计同比 %）、mom_growth（月度环比 %）、monthly_yoy_growth（月度同比 %），以表格展示给用户。

4. 响应说明

返回值为全国税收收入月度计算结果列表，按时间倒序。

TaxRevenueComputed 结构

字段名	类型	是否可为空	说明	单位
month	String	否	月份，格式如 2025年05月	-
monthly_revenue	float	是	税收收入合计当月值	亿元
cumulative_revenue	float	是	税收收入合计累计值	亿元
yoy_growth	float	是	税收收入合计累计同比	%
mom_growth	float	是	月度环比（(当月值 - 上月值) / 上月值 × 100）	%
monthly_yoy_growth	float	是	月度同比（(当月值 - 去年同月值) / 去年同月值 × 100）	%

注：金额单位为亿元。

5. 请求示例

GET /api/v1/market/data/economic/china-tax-revenue

6. 注意事项

返回按月份汇总，格式如「2025年05月」，列表已按时间倒序，最新月份在前。
金额单位为亿元，同比/环比单位为 %，各数值字段可为 null。

What ships with it: 1 file

1.2 KB alongside SKILL.md, 1 of them executable

scripts/

handler.pyruns1.2 KB

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Said here and by no other author read

run the handler script
return data sorted by month descending

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.