cn-stats
This skill enables the agent to query China's National Bureau of Statistics public data API to retrieve economic indicators, CPI, GDP, population, and…
Community author
- Agents
- Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode, claude.ai and API
- License
- MIT (permissive)
- Pin
- 47edd62pinned Oct 9, 2026
- Context cost
- about 720 tokenswhen the skill loads
- GitHub stars
- 162on aahl/skills
- Scripts
- None found
What it does
“中国国家统计局公开数据查询技能,当用户想查询经济、CPI、GDP、人口、房价指数等数据时触发。”
Generated summary from the skill's own text
This skill enables the agent to query China's National Bureau of Statistics public data API to retrieve economic indicators, CPI, GDP, population, and property price indices. The agent can browse indicator categories, search for specific metrics, and fetch statistical data across time periods and geographic regions including provinces and major cities.
When to use it
- User asks for Chinese economic data, inflation rates, or GDP figures
- Searching for property price indices or housing market data in China
- Retrieving population statistics or demographic data by region
- Querying historical economic trends across Chinese provinces or cities
When not to
- Data needed from sources outside China's official statistics
- Real-time stock market or financial trading data required
- User needs international comparative economic data
Install
These commands install from the publisher's repository and need no account.
skills CLI
npx skills add aahl/skills --skill cn-statsInstalls from the repository's default branch, which may have changed since the commit we checked.
GitHub CLI 2.90 or later
gh skill install aahl/skills cn-stats@47edd621dff44253677d2ed14c223393ca020407Installs the commit we checked (47edd62).
Copy by hand
Download the folder at 47edd62 and put it in .claude/skills/cn-stats for Claude Code and in .agents/skills/cn-stats for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.
Copy for your agent
A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.
Prompt
Install the agent skill "cn-stats" by aahl. Source, pinned to commit 47edd621dff44253677d2ed14c223393ca020407: https://github.com/aahl/skills/tree/47edd621dff44253677d2ed14c223393ca020407/skills/cn-stats 1. Download that folder at exactly this commit. Do not use the default branch. 2. Copy every file unchanged, keeping the folder structure, into .claude/skills/cn-stats/ for Claude Code and .agents/skills/cn-stats/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist. 3. Do not edit the files, and do not run any script in the folder unless I ask you to. 4. When you are done, list the files you copied and where you put them. Listing and checks: https://www.agentnative.dev/skills/aahl/cn-stats
SKILL.md at the pin
---
name: cn-stats
description: 中国国家统计局公开数据查询技能,当用户想查询经济、CPI、GDP、人口、房价指数等数据时触发。
---
# 国家统计局
```bash
# 全局环境变量
BASE_URL='https://data.stats.gov.cn/dg/website/publicrelease/web/external'
JQ_INDICATORS='.data | {total}, (.list[] | {_id, type, chart_style_text, i_showname})'
JQ_AREAS='.data[] | [.name_value,.name_text] | @tsv'
# 获取指标分类根节点ID
# code: {1:月度数据, 2:季度数据, 3:年度数据, 4:分省月度数据, 5:分省季度数据, 6:分省年度数据}
# {7:主要城市月度价格, 8:主要城市年度数据, 9:港澳台月度数据, 10:港澳台年度数据}
# {12:三大经济体月度数据, 13:国际市场月度商品价格, 14:主要国家年度数据}
ROOT_ID=$(curl "$BASE_URL/new/queryIndexTreeAsync?pid=&code=1" | jq -r '.data[0]._id // .')
# 获取指标分类子节点
curl "$BASE_URL/new/queryIndexTreeAsync?pid=$ROOT_ID&code=1" | jq -r '.data[] | {_id, name, type, isLeaf}'
# 获取指标列表 (isLeaf==true)
curl "$BASE_URL/new/queryIndicatorsByCid?cid=$NODE_ID&dt=&name=" | jq -r $JQ_INDICATORS
# 搜索指标列表
curl -G "$BASE_URL/new/queryIndicatorsByCid?cid=&dt=&rootId=$ROOT_ID" \
--data-urlencode 'name=<关键词>' \
| jq -r $JQ_INDICATORS
# 获取统计数据 - 多指标
# dts: 时间范围 {年: 2026YY | 2022YY-2026YY, 月: 202501MM-202512MM}
curl "$BASE_URL/stream/esData" \
-H 'Content-Type: application/json;charset=UTF-8' \
-H 'Referer: https://data.stats.gov.cn/dg/website/page.html' \
--data-raw '{
"cid": "分类NODE_ID(isLeaf==true)",
"indicatorIds": ["指标ID1","指标ID2"],
"daCatalogId": "",
"das": [{"text":"全国","value":"000000000000"}],
"showType": "1",
"dts": "",
"rootId": "根节点ROOT_ID"
}' | jq -r '
.data[] |
.name as $year |
.values[] |
[$year, ._name, .value // "-", .du_name] |
@tsv
'
# 获取地区分类
curl "$BASE_URL/getDaCatalogTreeByIndicatorCid?indicatorCid=$NODE_ID"
# 获取地区列表
curl "$BASE_URL/getDasByDaCatalogId?daCid=$DA_CATELOG_ID&rootId=$ROOT_ID" | jq -r $JQ_AREAS
# 获取国内全部省份
curl "$BASE_URL/getDasByDaCatalogId?daCid=a10dceae75d245008bf4b9a0e6fe1d55" | jq -r $JQ_AREAS
# 获取国内大中城市
curl "$BASE_URL/getDasByDaCatalogId?daCid=44016f1bffeb4ea49fe34e100c6415fb" | jq -r $JQ_AREAS
# 获取统计数据 - 多地区
curl "$BASE_URL/stream/esData" \
-H 'Content-Type: application/json;charset=UTF-8' \
-H 'Referer: https://data.stats.gov.cn/dg/website/page.html' \
--data-raw '{
"cid": "分类NODE_ID(isLeaf==true)",
"indicatorIds": ["指标ID"],
"daCatalogId": "",
"das":[{"text":"上海市","value":"310000000000"},{"text":"北京市","value":"110000000000"}],
"showType": "3",
"dts": ["202301MM-202512MM"],
"rootId": "根节点ROOT_ID"
}' | jq -r '
.data[] |
.name as $year |
.values[] |
[$year, ._name, .value // "-", .du_name] |
@tsv
'
# 全局数据查询
curl -G "$BASE_URL/query?code=&pagenum=1&pageSize=15" \
--data-urlencode 'search=<中文关键词>' \
-H 'client: pc' \
-H 'Accept: application/json, text/plain, */*' \
-H 'Referer: https://data.stats.gov.cn/dg/website/page.html' \
| jq -r '.data | {types,count}, (.data[] | {cid,indic_id,show_name,da_name,da,dt,dt_type,value,explain})'
```
## 常用数据
```bash
# 大中城市住宅销售价格指数
curl "$BASE_URL/new/queryIndicatorsByCid?cid=3eb43764c74741469b745c396cf002d1&dt=&name=" | jq -r $JQ_INDICATORS
```
From aahl/skills at 47edd62, shown as plain text under its license: MIT (permissive). The license text is in LICENSE.
View SKILL.md on GitHub at 47edd62Files
- SKILL.md3.5 KB · 276bda87bfbf
1 file, 3.5 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.
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