Creator · FTShare-Lab
Last updated · Sep 1, 2026
Get China customs import/export monthly data (海关进出口 月度). Use when user asks about 海关进出口, 出口, 进口, 进出口, 外贸, 中国出口进口, China customs trade.
Creator · FTShare-Lab
Last updated · Sep 1, 2026
Get China customs import/export monthly data (海关进出口 月度). Use when user asks about 海关进出口, 出口, 进口, 进出口, 外贸, 中国出口进口, China customs trade.
Creator · FTShare-Lab
Last updated · Sep 1, 2026
Get China customs import/export monthly data (海关进出口 月度). Use when user asks about 海关进出口, 出口, 进口, 进出口, 外贸, 中国出口进口, China customs trade.
Creator · FTShare-Lab
Last updated · Sep 1, 2026
Get China customs import/export monthly data (海关进出口 月度). Use when user asks about 海关进出口, 出口, 进口, 进出口, 外贸, 中国出口进口, China customs trade.
Sandbox only
Install targets
Codex install prompt
Install the "economic-china-customs-trade-monthly" agent skill from https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/economic-china-customs-trade-monthly. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Get China customs import/export monthly data (海关进出口 月度). Use when user asks about 海关进出口, 出口, 进口, 进出口, 外贸, 中国出口进口, China customs trade. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"ftshare-lab-economic-china-customs-trade-monthly","task":"Install economic-china-customs-trade-monthly","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthly
Maintenance
fresh
11d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
60
64/100 Quality · 70/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · The handler.py only catches HTTPError; URLError (e.g., connection refused, timeout) is not handled, which could cause an ungraceful crash.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
60 GitHub stars
Repo activity
60 stars, 11 forks
Maintenance
11d since push
License
MIT
Install
npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthly
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthlyDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20economic-china-customs-trade-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20economic-china-customs-trade-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/ftshare-lab-economic-china-customs-trade-monthly/install
Agent should check
Copy prompt
Task: Use economic-china-customs-trade-monthly in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20economic-china-customs-trade-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-customs-trade-monthly/install
Install command: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthly
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/ftshare-lab-economic-china-customs-trade-monthly/install
LLM text format
/api/skills/ftshare-lab-economic-china-customs-trade-monthly/install?format=text
Find alternatives
/api/skills/search?q=economic-china-customs-trade-monthly&limit=3
Agent prompt
Use economic-china-customs-trade-monthly for this task. Review https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-customs-trade-monthly/install, then install with: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthlyRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/ftshare-lab-economic-china-customs-trade-monthly
LLM text
/api/registry/manifest/ftshare-lab-economic-china-customs-trade-monthly?format=text
Install alias
/api/registry/install/ftshare-lab-economic-china-customs-trade-monthly
Recommend
/api/registry/recommend?task=Use%20economic-china-customs-trade-monthly%20in%20an%20agent%20workflow&limit=3
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK60 GitHub stars
Stars/forks activity
CHECK60 stars, 11 forks; issue activity unavailable in current metadata
Recent maintenance
PASS11d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
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Apache Superset is a Data Visualization and Data Exploration Platform
--- name: economic-china-customs-trade-monthly description: Get China customs import/export monthly data (海关进出口 月度). Use when user asks about 海关进出口, 出口, 进口, 进出口, 外贸, 中国出口进口, China customs trade. ---
# 中国经济 - 海关进出口（月度）
## 1. 接口描述
| 项目 | 说明 | |------|------| | 接口名称 | 海关进出口增减情况（月度汇总计算结果） | | 外部接口 | GET /api/v1/market/data/economic/china-customs-trade | | 请求方式 | GET | | 适用场景 | 获取中国海关进出口月度数据，含出口/进口当月值、同比、环比及累计与累计同比等 |
## 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：
```bash python script/handler.py ```
脚本输出 JSON 数组，按时间倒序，每项含 `month`（如 2025年03月份）、`export_current`/`export_yoy`/`export_mom`（当月出口及同比、环比）、`import_current`/`import_yoy`/`import_mom`（当月进口）、`cumulative_export`/`cumulative_export_yoy`、`cumulative_import`/`cumulative_import_yoy`（累计及同比）、`unit`、`currency`，以表格展示给用户。
## 4. 响应说明
返回值为海关进出口月度计算结果列表，按时间倒序。
### CustomsTradeComputed 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03月份 | - | | export_current | float | 是 | 当月出口额 | 见 unit | | export_yoy | float | 是 | 当月出口额同比 | % | | export_mom | float | 是 | 当月出口额环比 | % | | import_current | float | 是 | 当月进口额 | 见 unit | | import_yoy | float | 是 | 当月进口额同比 | % | | import_mom | float | 是 | 当月进口额环比 | % | | cumulative_export | float | 是 | 累计出口额 | 见 unit | | cumulative_export_yoy | float | 是 | 累计出口额同比 | % | | cumulative_import | float | 是 | 累计进口额 | 见 unit | | cumulative_import_yoy | float | 是 | 累计进口额同比 | % | | unit | String | 否 | 货币单位 | - | | currency | String | 否 | 货币种类 | - |
## 5. 请求示例
``` GET /api/v1/market/data/economic/china-customs-trade ```
## 6. 注意事项
- 返回按月份汇总，格式如「2025年03月份」，列表已按时间倒序，最新月份在前。 - 金额单位见 `unit`（通常为亿美元），同比/环比单位为 %，各数值字段可为 null。
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for economic-china-customs-trade-monthly, ready for a manual X post.
economic-china-customs-trade-monthly: Get China customs import/export monthly data (海关进出口 月度). Use when user asks about 海关进出口, 出口,... 60 stars https://www.openagentskill.com/skills/ftshare-lab-economic-china-customs-trade-monthly?ref=x
Listing + install path for economic-china-customs-trade-monthly: https://www.openagentskill.com/skills/ftshare-lab-economic-china-customs-trade-monthly?ref=x Install: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-mon...
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to FTShare-Lab but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-customs-trade-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-customs-trade-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-customs-trade-monthly/audit)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-customs-trade-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)FTShare-Lab
@ftshare-lab
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
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Install targets
Codex install prompt
Install the "economic-china-customs-trade-monthly" agent skill from https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/economic-china-customs-trade-monthly. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Get China customs import/export monthly data (海关进出口 月度). Use when user asks about 海关进出口, 出口, 进口, 进出口, 外贸, 中国出口进口, China customs trade. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"ftshare-lab-economic-china-customs-trade-monthly","task":"Install economic-china-customs-trade-monthly","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthly
Maintenance
fresh
11d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
60
64/100 Quality · 70/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · The handler.py only catches HTTPError; URLError (e.g., connection refused, timeout) is not handled, which could cause an ungraceful crash.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
60 GitHub stars
Repo activity
60 stars, 11 forks
Maintenance
11d since push
License
MIT
Install
npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthly
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthlyDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20economic-china-customs-trade-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20economic-china-customs-trade-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/ftshare-lab-economic-china-customs-trade-monthly/install
Agent should check
Copy prompt
Task: Use economic-china-customs-trade-monthly in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20economic-china-customs-trade-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-customs-trade-monthly/install
Install command: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthly
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/ftshare-lab-economic-china-customs-trade-monthly/install
LLM text format
/api/skills/ftshare-lab-economic-china-customs-trade-monthly/install?format=text
Find alternatives
/api/skills/search?q=economic-china-customs-trade-monthly&limit=3
Agent prompt
Use economic-china-customs-trade-monthly for this task. Review https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-customs-trade-monthly/install, then install with: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthlyRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/ftshare-lab-economic-china-customs-trade-monthly
LLM text
/api/registry/manifest/ftshare-lab-economic-china-customs-trade-monthly?format=text
Install alias
/api/registry/install/ftshare-lab-economic-china-customs-trade-monthly
Recommend
/api/registry/recommend?task=Use%20economic-china-customs-trade-monthly%20in%20an%20agent%20workflow&limit=3
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK60 GitHub stars
Stars/forks activity
CHECK60 stars, 11 forks; issue activity unavailable in current metadata
Recent maintenance
PASS11d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Apache Superset is a Data Visualization and Data Exploration Platform
--- name: economic-china-customs-trade-monthly description: Get China customs import/export monthly data (海关进出口 月度). Use when user asks about 海关进出口, 出口, 进口, 进出口, 外贸, 中国出口进口, China customs trade. ---
# 中国经济 - 海关进出口（月度）
## 1. 接口描述
| 项目 | 说明 | |------|------| | 接口名称 | 海关进出口增减情况（月度汇总计算结果） | | 外部接口 | GET /api/v1/market/data/economic/china-customs-trade | | 请求方式 | GET | | 适用场景 | 获取中国海关进出口月度数据，含出口/进口当月值、同比、环比及累计与累计同比等 |
## 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：
```bash python script/handler.py ```
脚本输出 JSON 数组，按时间倒序，每项含 `month`（如 2025年03月份）、`export_current`/`export_yoy`/`export_mom`（当月出口及同比、环比）、`import_current`/`import_yoy`/`import_mom`（当月进口）、`cumulative_export`/`cumulative_export_yoy`、`cumulative_import`/`cumulative_import_yoy`（累计及同比）、`unit`、`currency`，以表格展示给用户。
## 4. 响应说明
返回值为海关进出口月度计算结果列表，按时间倒序。
### CustomsTradeComputed 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03月份 | - | | export_current | float | 是 | 当月出口额 | 见 unit | | export_yoy | float | 是 | 当月出口额同比 | % | | export_mom | float | 是 | 当月出口额环比 | % | | import_current | float | 是 | 当月进口额 | 见 unit | | import_yoy | float | 是 | 当月进口额同比 | % | | import_mom | float | 是 | 当月进口额环比 | % | | cumulative_export | float | 是 | 累计出口额 | 见 unit | | cumulative_export_yoy | float | 是 | 累计出口额同比 | % | | cumulative_import | float | 是 | 累计进口额 | 见 unit | | cumulative_import_yoy | float | 是 | 累计进口额同比 | % | | unit | String | 否 | 货币单位 | - | | currency | String | 否 | 货币种类 | - |
## 5. 请求示例
``` GET /api/v1/market/data/economic/china-customs-trade ```
## 6. 注意事项
- 返回按月份汇总，格式如「2025年03月份」，列表已按时间倒序，最新月份在前。 - 金额单位见 `unit`（通常为亿美元），同比/环比单位为 %，各数值字段可为 null。
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for economic-china-customs-trade-monthly, ready for a manual X post.
economic-china-customs-trade-monthly: Get China customs import/export monthly data (海关进出口 月度). Use when user asks about 海关进出口, 出口,... 60 stars https://www.openagentskill.com/skills/ftshare-lab-economic-china-customs-trade-monthly?ref=x
Listing + install path for economic-china-customs-trade-monthly: https://www.openagentskill.com/skills/ftshare-lab-economic-china-customs-trade-monthly?ref=x Install: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-mon...
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to FTShare-Lab but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-customs-trade-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-customs-trade-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-customs-trade-monthly/audit)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-customs-trade-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)FTShare-Lab
@ftshare-lab
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
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Install targets
Codex install prompt
Install the "economic-china-customs-trade-monthly" agent skill from https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/economic-china-customs-trade-monthly. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Get China customs import/export monthly data (海关进出口 月度). Use when user asks about 海关进出口, 出口, 进口, 进出口, 外贸, 中国出口进口, China customs trade. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"ftshare-lab-economic-china-customs-trade-monthly","task":"Install economic-china-customs-trade-monthly","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthly
Maintenance
fresh
11d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
60
64/100 Quality · 70/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · The handler.py only catches HTTPError; URLError (e.g., connection refused, timeout) is not handled, which could cause an ungraceful crash.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
60 GitHub stars
Repo activity
60 stars, 11 forks
Maintenance
11d since push
License
MIT
Install
npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthly
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthlyDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20economic-china-customs-trade-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20economic-china-customs-trade-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/ftshare-lab-economic-china-customs-trade-monthly/install
Agent should check
Copy prompt
Task: Use economic-china-customs-trade-monthly in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20economic-china-customs-trade-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-customs-trade-monthly/install
Install command: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthly
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/ftshare-lab-economic-china-customs-trade-monthly/install
LLM text format
/api/skills/ftshare-lab-economic-china-customs-trade-monthly/install?format=text
Find alternatives
/api/skills/search?q=economic-china-customs-trade-monthly&limit=3
Agent prompt
Use economic-china-customs-trade-monthly for this task. Review https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-customs-trade-monthly/install, then install with: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthlyRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/ftshare-lab-economic-china-customs-trade-monthly
LLM text
/api/registry/manifest/ftshare-lab-economic-china-customs-trade-monthly?format=text
Install alias
/api/registry/install/ftshare-lab-economic-china-customs-trade-monthly
Recommend
/api/registry/recommend?task=Use%20economic-china-customs-trade-monthly%20in%20an%20agent%20workflow&limit=3
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK60 GitHub stars
Stars/forks activity
CHECK60 stars, 11 forks; issue activity unavailable in current metadata
Recent maintenance
PASS11d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
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Apache Superset is a Data Visualization and Data Exploration Platform
--- name: economic-china-customs-trade-monthly description: Get China customs import/export monthly data (海关进出口 月度). Use when user asks about 海关进出口, 出口, 进口, 进出口, 外贸, 中国出口进口, China customs trade. ---
# 中国经济 - 海关进出口（月度）
## 1. 接口描述
| 项目 | 说明 | |------|------| | 接口名称 | 海关进出口增减情况（月度汇总计算结果） | | 外部接口 | GET /api/v1/market/data/economic/china-customs-trade | | 请求方式 | GET | | 适用场景 | 获取中国海关进出口月度数据，含出口/进口当月值、同比、环比及累计与累计同比等 |
## 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：
```bash python script/handler.py ```
脚本输出 JSON 数组，按时间倒序，每项含 `month`（如 2025年03月份）、`export_current`/`export_yoy`/`export_mom`（当月出口及同比、环比）、`import_current`/`import_yoy`/`import_mom`（当月进口）、`cumulative_export`/`cumulative_export_yoy`、`cumulative_import`/`cumulative_import_yoy`（累计及同比）、`unit`、`currency`，以表格展示给用户。
## 4. 响应说明
返回值为海关进出口月度计算结果列表，按时间倒序。
### CustomsTradeComputed 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03月份 | - | | export_current | float | 是 | 当月出口额 | 见 unit | | export_yoy | float | 是 | 当月出口额同比 | % | | export_mom | float | 是 | 当月出口额环比 | % | | import_current | float | 是 | 当月进口额 | 见 unit | | import_yoy | float | 是 | 当月进口额同比 | % | | import_mom | float | 是 | 当月进口额环比 | % | | cumulative_export | float | 是 | 累计出口额 | 见 unit | | cumulative_export_yoy | float | 是 | 累计出口额同比 | % | | cumulative_import | float | 是 | 累计进口额 | 见 unit | | cumulative_import_yoy | float | 是 | 累计进口额同比 | % | | unit | String | 否 | 货币单位 | - | | currency | String | 否 | 货币种类 | - |
## 5. 请求示例
``` GET /api/v1/market/data/economic/china-customs-trade ```
## 6. 注意事项
- 返回按月份汇总，格式如「2025年03月份」，列表已按时间倒序，最新月份在前。 - 金额单位见 `unit`（通常为亿美元），同比/环比单位为 %，各数值字段可为 null。
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for economic-china-customs-trade-monthly, ready for a manual X post.
economic-china-customs-trade-monthly: Get China customs import/export monthly data (海关进出口 月度). Use when user asks about 海关进出口, 出口,... 60 stars https://www.openagentskill.com/skills/ftshare-lab-economic-china-customs-trade-monthly?ref=x
Listing + install path for economic-china-customs-trade-monthly: https://www.openagentskill.com/skills/ftshare-lab-economic-china-customs-trade-monthly?ref=x Install: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-mon...
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to FTShare-Lab but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-customs-trade-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-customs-trade-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-customs-trade-monthly/audit)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-customs-trade-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)FTShare-Lab
@ftshare-lab
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Echarts
Apache ECharts is a powerful, interactive charting and data visualization library for browser
67.2K StarsD3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
113.1K StarsScientific Agent Skills
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
33.5K StarsSuperset
Apache Superset is a Data Visualization and Data Exploration Platform
74.7K StarsSandbox only
Install targets
Codex install prompt
Install the "economic-china-customs-trade-monthly" agent skill from https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/economic-china-customs-trade-monthly. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Get China customs import/export monthly data (海关进出口 月度). Use when user asks about 海关进出口, 出口, 进口, 进出口, 外贸, 中国出口进口, China customs trade. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"ftshare-lab-economic-china-customs-trade-monthly","task":"Install economic-china-customs-trade-monthly","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthly
Maintenance
fresh
11d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
60
64/100 Quality · 70/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · The handler.py only catches HTTPError; URLError (e.g., connection refused, timeout) is not handled, which could cause an ungraceful crash.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
60 GitHub stars
Repo activity
60 stars, 11 forks
Maintenance
11d since push
License
MIT
Install
npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthly
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthlyDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20economic-china-customs-trade-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20economic-china-customs-trade-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/ftshare-lab-economic-china-customs-trade-monthly/install
Agent should check
Copy prompt
Task: Use economic-china-customs-trade-monthly in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20economic-china-customs-trade-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-customs-trade-monthly/install
Install command: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthly
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/ftshare-lab-economic-china-customs-trade-monthly/install
LLM text format
/api/skills/ftshare-lab-economic-china-customs-trade-monthly/install?format=text
Find alternatives
/api/skills/search?q=economic-china-customs-trade-monthly&limit=3
Agent prompt
Use economic-china-customs-trade-monthly for this task. Review https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-customs-trade-monthly/install, then install with: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthlyRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/ftshare-lab-economic-china-customs-trade-monthly
LLM text
/api/registry/manifest/ftshare-lab-economic-china-customs-trade-monthly?format=text
Install alias
/api/registry/install/ftshare-lab-economic-china-customs-trade-monthly
Recommend
/api/registry/recommend?task=Use%20economic-china-customs-trade-monthly%20in%20an%20agent%20workflow&limit=3
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK60 GitHub stars
Stars/forks activity
CHECK60 stars, 11 forks; issue activity unavailable in current metadata
Recent maintenance
PASS11d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Apache Superset is a Data Visualization and Data Exploration Platform
--- name: economic-china-customs-trade-monthly description: Get China customs import/export monthly data (海关进出口 月度). Use when user asks about 海关进出口, 出口, 进口, 进出口, 外贸, 中国出口进口, China customs trade. ---
# 中国经济 - 海关进出口（月度）
## 1. 接口描述
| 项目 | 说明 | |------|------| | 接口名称 | 海关进出口增减情况（月度汇总计算结果） | | 外部接口 | GET /api/v1/market/data/economic/china-customs-trade | | 请求方式 | GET | | 适用场景 | 获取中国海关进出口月度数据，含出口/进口当月值、同比、环比及累计与累计同比等 |
## 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：
```bash python script/handler.py ```
脚本输出 JSON 数组，按时间倒序，每项含 `month`（如 2025年03月份）、`export_current`/`export_yoy`/`export_mom`（当月出口及同比、环比）、`import_current`/`import_yoy`/`import_mom`（当月进口）、`cumulative_export`/`cumulative_export_yoy`、`cumulative_import`/`cumulative_import_yoy`（累计及同比）、`unit`、`currency`，以表格展示给用户。
## 4. 响应说明
返回值为海关进出口月度计算结果列表，按时间倒序。
### CustomsTradeComputed 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03月份 | - | | export_current | float | 是 | 当月出口额 | 见 unit | | export_yoy | float | 是 | 当月出口额同比 | % | | export_mom | float | 是 | 当月出口额环比 | % | | import_current | float | 是 | 当月进口额 | 见 unit | | import_yoy | float | 是 | 当月进口额同比 | % | | import_mom | float | 是 | 当月进口额环比 | % | | cumulative_export | float | 是 | 累计出口额 | 见 unit | | cumulative_export_yoy | float | 是 | 累计出口额同比 | % | | cumulative_import | float | 是 | 累计进口额 | 见 unit | | cumulative_import_yoy | float | 是 | 累计进口额同比 | % | | unit | String | 否 | 货币单位 | - | | currency | String | 否 | 货币种类 | - |
## 5. 请求示例
``` GET /api/v1/market/data/economic/china-customs-trade ```
## 6. 注意事项
- 返回按月份汇总，格式如「2025年03月份」，列表已按时间倒序，最新月份在前。 - 金额单位见 `unit`（通常为亿美元），同比/环比单位为 %，各数值字段可为 null。
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economic-china-customs-trade-monthly: Get China customs import/export monthly data (海关进出口 月度). Use when user asks about 海关进出口, 出口,... 60 stars https://www.openagentskill.com/skills/ftshare-lab-economic-china-customs-trade-monthly?ref=x
Listing + install path for economic-china-customs-trade-monthly: https://www.openagentskill.com/skills/ftshare-lab-economic-china-customs-trade-monthly?ref=x Install: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-mon...
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