Creator · FTShare-Lab
Last updated · Sep 1, 2026
Get China credit/loans monthly data (中国信贷数据 月度). Use when user asks about 信贷, 新增信贷, 信贷数据, 中国信贷, 贷款增量, China credit loans, 社会融资.
Creator · FTShare-Lab
Last updated · Sep 1, 2026
Get China credit/loans monthly data (中国信贷数据 月度). Use when user asks about 信贷, 新增信贷, 信贷数据, 中国信贷, 贷款增量, China credit loans, 社会融资.
Creator · FTShare-Lab
Last updated · Sep 1, 2026
Get China credit/loans monthly data (中国信贷数据 月度). Use when user asks about 信贷, 新增信贷, 信贷数据, 中国信贷, 贷款增量, China credit loans, 社会融资.
Creator · FTShare-Lab
Last updated · Sep 1, 2026
Get China credit/loans monthly data (中国信贷数据 月度). Use when user asks about 信贷, 新增信贷, 信贷数据, 中国信贷, 贷款增量, China credit loans, 社会融资.
Do not auto-install
Install targets
Codex install prompt
Install the "economic-china-credit-loans-monthly" agent skill from https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/economic-china-credit-loans-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 credit/loans monthly data (中国信贷数据 月度). Use when user asks about 信贷, 新增信贷, 信贷数据, 中国信贷, 贷款增量, China credit loans, 社会融资. 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-credit-loans-monthly","task":"Install economic-china-credit-loans-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-credit-loans-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 · 67/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · No handling of URLError (e.g., DNS failure, connection refused) – only HTTPError is caught; other network errors cause an unhandled exception.
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
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Choose a stronger alternative or inspect the source manually before any install attempt.
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-credit-loans-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-credit-loans-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-credit-loans-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20economic-china-credit-loans-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/ftshare-lab-economic-china-credit-loans-monthly/install
Agent should check
Copy prompt
Task: Use economic-china-credit-loans-monthly in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20economic-china-credit-loans-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-credit-loans-monthly/install
Install command: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-credit-loans-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-credit-loans-monthly/install
LLM text format
/api/skills/ftshare-lab-economic-china-credit-loans-monthly/install?format=text
Find alternatives
/api/skills/search?q=economic-china-credit-loans-monthly&limit=3
Agent prompt
Use economic-china-credit-loans-monthly for this task. Review https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-credit-loans-monthly/install, then install with: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-credit-loans-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-credit-loans-monthly
LLM text
/api/registry/manifest/ftshare-lab-economic-china-credit-loans-monthly?format=text
Install alias
/api/registry/install/ftshare-lab-economic-china-credit-loans-monthly
Recommend
/api/registry/recommend?task=Use%20economic-china-credit-loans-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
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
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
Choose a stronger alternative or inspect the source manually before any install attempt.
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.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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-credit-loans-monthly description: Get China credit/loans monthly data (中国信贷数据 月度). Use when user asks about 信贷, 新增信贷, 信贷数据, 中国信贷, 贷款增量, China credit loans, 社会融资. ---
# 中国经济 - 信贷（月度）
## 1. 接口描述
| 项目 | 说明 | |------|------| | 接口名称 | 信贷数据（月度汇总计算结果） | | 外部接口 | GET /api/v1/market/data/economic/china-credit-loans | | 请求方式 | GET | | 适用场景 | 获取中国信贷数据月度汇总，含新增信贷、同比、环比、当年累计及累计同比等 |
## 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）、`new_loans`（本月新增信贷）、`yoy`（同比 %）、`mom`（环比 %）、`cumulative`（当年累计）、`cumulative_yoy`（累计同比 %）、`unit`（亿元）、`currency`（CNY），以表格展示给用户。
## 4. 响应说明
返回值为信贷月度计算结果列表，按时间倒序。
### CreditComputed 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 | - | | new_loans | float | 是 | 本月新增信贷 | 见 unit | | yoy | float | 是 | 同比增长 | % | | mom | float | 是 | 环比增长 | % | | cumulative | float | 是 | 当年累计（1 月到当前月之和） | 见 unit | | cumulative_yoy | float | 是 | 累计同比增长 | % | | 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-credit-loans ```
## 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-credit-loans-monthly, ready for a manual X post.
economic-china-credit-loans-monthly: Get China credit/loans monthly data (中国信贷数据 月度). Use when user asks about 信贷, 新增信贷, 信贷数据, 中国信... 60 stars https://www.openagentskill.com/skills/ftshare-lab-economic-china-credit-loans-monthly?ref=x
Listing + install path for economic-china-credit-loans-monthly: https://www.openagentskill.com/skills/ftshare-lab-economic-china-credit-loans-monthly?ref=x Install: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-credit-loans-monthly
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-credit-loans-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-credit-loans-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-credit-loans-monthly/audit)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-credit-loans-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.
Do not auto-install
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74.7K StarsDo not auto-install
Install targets
Codex install prompt
Install the "economic-china-credit-loans-monthly" agent skill from https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/economic-china-credit-loans-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 credit/loans monthly data (中国信贷数据 月度). Use when user asks about 信贷, 新增信贷, 信贷数据, 中国信贷, 贷款增量, China credit loans, 社会融资. 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-credit-loans-monthly","task":"Install economic-china-credit-loans-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-credit-loans-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 · 67/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · No handling of URLError (e.g., DNS failure, connection refused) – only HTTPError is caught; other network errors cause an unhandled exception.
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
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Choose a stronger alternative or inspect the source manually before any install attempt.
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-credit-loans-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-credit-loans-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-credit-loans-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20economic-china-credit-loans-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/ftshare-lab-economic-china-credit-loans-monthly/install
Agent should check
Copy prompt
Task: Use economic-china-credit-loans-monthly in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20economic-china-credit-loans-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-credit-loans-monthly/install
Install command: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-credit-loans-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-credit-loans-monthly/install
LLM text format
/api/skills/ftshare-lab-economic-china-credit-loans-monthly/install?format=text
Find alternatives
/api/skills/search?q=economic-china-credit-loans-monthly&limit=3
Agent prompt
Use economic-china-credit-loans-monthly for this task. Review https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-credit-loans-monthly/install, then install with: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-credit-loans-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-credit-loans-monthly
LLM text
/api/registry/manifest/ftshare-lab-economic-china-credit-loans-monthly?format=text
Install alias
/api/registry/install/ftshare-lab-economic-china-credit-loans-monthly
Recommend
/api/registry/recommend?task=Use%20economic-china-credit-loans-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
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
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
Choose a stronger alternative or inspect the source manually before any install attempt.
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.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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-credit-loans-monthly description: Get China credit/loans monthly data (中国信贷数据 月度). Use when user asks about 信贷, 新增信贷, 信贷数据, 中国信贷, 贷款增量, China credit loans, 社会融资. ---
# 中国经济 - 信贷（月度）
## 1. 接口描述
| 项目 | 说明 | |------|------| | 接口名称 | 信贷数据（月度汇总计算结果） | | 外部接口 | GET /api/v1/market/data/economic/china-credit-loans | | 请求方式 | GET | | 适用场景 | 获取中国信贷数据月度汇总，含新增信贷、同比、环比、当年累计及累计同比等 |
## 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）、`new_loans`（本月新增信贷）、`yoy`（同比 %）、`mom`（环比 %）、`cumulative`（当年累计）、`cumulative_yoy`（累计同比 %）、`unit`（亿元）、`currency`（CNY），以表格展示给用户。
## 4. 响应说明
返回值为信贷月度计算结果列表，按时间倒序。
### CreditComputed 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 | - | | new_loans | float | 是 | 本月新增信贷 | 见 unit | | yoy | float | 是 | 同比增长 | % | | mom | float | 是 | 环比增长 | % | | cumulative | float | 是 | 当年累计（1 月到当前月之和） | 见 unit | | cumulative_yoy | float | 是 | 累计同比增长 | % | | 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-credit-loans ```
## 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-credit-loans-monthly, ready for a manual X post.
economic-china-credit-loans-monthly: Get China credit/loans monthly data (中国信贷数据 月度). Use when user asks about 信贷, 新增信贷, 信贷数据, 中国信... 60 stars https://www.openagentskill.com/skills/ftshare-lab-economic-china-credit-loans-monthly?ref=x
Listing + install path for economic-china-credit-loans-monthly: https://www.openagentskill.com/skills/ftshare-lab-economic-china-credit-loans-monthly?ref=x Install: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-credit-loans-monthly
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-credit-loans-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-credit-loans-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-credit-loans-monthly/audit)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-credit-loans-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.
Do not auto-install
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 StarsDo not auto-install
Install targets
Codex install prompt
Install the "economic-china-credit-loans-monthly" agent skill from https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/economic-china-credit-loans-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 credit/loans monthly data (中国信贷数据 月度). Use when user asks about 信贷, 新增信贷, 信贷数据, 中国信贷, 贷款增量, China credit loans, 社会融资. 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-credit-loans-monthly","task":"Install economic-china-credit-loans-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-credit-loans-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 · 67/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · No handling of URLError (e.g., DNS failure, connection refused) – only HTTPError is caught; other network errors cause an unhandled exception.
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
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Choose a stronger alternative or inspect the source manually before any install attempt.
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-credit-loans-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-credit-loans-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-credit-loans-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20economic-china-credit-loans-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/ftshare-lab-economic-china-credit-loans-monthly/install
Agent should check
Copy prompt
Task: Use economic-china-credit-loans-monthly in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20economic-china-credit-loans-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-credit-loans-monthly/install
Install command: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-credit-loans-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-credit-loans-monthly/install
LLM text format
/api/skills/ftshare-lab-economic-china-credit-loans-monthly/install?format=text
Find alternatives
/api/skills/search?q=economic-china-credit-loans-monthly&limit=3
Agent prompt
Use economic-china-credit-loans-monthly for this task. Review https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-credit-loans-monthly/install, then install with: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-credit-loans-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-credit-loans-monthly
LLM text
/api/registry/manifest/ftshare-lab-economic-china-credit-loans-monthly?format=text
Install alias
/api/registry/install/ftshare-lab-economic-china-credit-loans-monthly
Recommend
/api/registry/recommend?task=Use%20economic-china-credit-loans-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
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
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
Choose a stronger alternative or inspect the source manually before any install attempt.
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.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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-credit-loans-monthly description: Get China credit/loans monthly data (中国信贷数据 月度). Use when user asks about 信贷, 新增信贷, 信贷数据, 中国信贷, 贷款增量, China credit loans, 社会融资. ---
# 中国经济 - 信贷（月度）
## 1. 接口描述
| 项目 | 说明 | |------|------| | 接口名称 | 信贷数据（月度汇总计算结果） | | 外部接口 | GET /api/v1/market/data/economic/china-credit-loans | | 请求方式 | GET | | 适用场景 | 获取中国信贷数据月度汇总，含新增信贷、同比、环比、当年累计及累计同比等 |
## 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）、`new_loans`（本月新增信贷）、`yoy`（同比 %）、`mom`（环比 %）、`cumulative`（当年累计）、`cumulative_yoy`（累计同比 %）、`unit`（亿元）、`currency`（CNY），以表格展示给用户。
## 4. 响应说明
返回值为信贷月度计算结果列表，按时间倒序。
### CreditComputed 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 | - | | new_loans | float | 是 | 本月新增信贷 | 见 unit | | yoy | float | 是 | 同比增长 | % | | mom | float | 是 | 环比增长 | % | | cumulative | float | 是 | 当年累计（1 月到当前月之和） | 见 unit | | cumulative_yoy | float | 是 | 累计同比增长 | % | | 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-credit-loans ```
## 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-credit-loans-monthly, ready for a manual X post.
economic-china-credit-loans-monthly: Get China credit/loans monthly data (中国信贷数据 月度). Use when user asks about 信贷, 新增信贷, 信贷数据, 中国信... 60 stars https://www.openagentskill.com/skills/ftshare-lab-economic-china-credit-loans-monthly?ref=x
Listing + install path for economic-china-credit-loans-monthly: https://www.openagentskill.com/skills/ftshare-lab-economic-china-credit-loans-monthly?ref=x Install: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-credit-loans-monthly
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-credit-loans-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-credit-loans-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-credit-loans-monthly/audit)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-credit-loans-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.
Do not auto-install
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 StarsDo not auto-install
Install targets
Codex install prompt
Install the "economic-china-credit-loans-monthly" agent skill from https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/economic-china-credit-loans-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 credit/loans monthly data (中国信贷数据 月度). Use when user asks about 信贷, 新增信贷, 信贷数据, 中国信贷, 贷款增量, China credit loans, 社会融资. 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-credit-loans-monthly","task":"Install economic-china-credit-loans-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-credit-loans-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 · 67/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · No handling of URLError (e.g., DNS failure, connection refused) – only HTTPError is caught; other network errors cause an unhandled exception.
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
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Choose a stronger alternative or inspect the source manually before any install attempt.
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-credit-loans-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-credit-loans-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-credit-loans-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20economic-china-credit-loans-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/ftshare-lab-economic-china-credit-loans-monthly/install
Agent should check
Copy prompt
Task: Use economic-china-credit-loans-monthly in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20economic-china-credit-loans-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-credit-loans-monthly/install
Install command: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-credit-loans-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-credit-loans-monthly/install
LLM text format
/api/skills/ftshare-lab-economic-china-credit-loans-monthly/install?format=text
Find alternatives
/api/skills/search?q=economic-china-credit-loans-monthly&limit=3
Agent prompt
Use economic-china-credit-loans-monthly for this task. Review https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-credit-loans-monthly/install, then install with: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-credit-loans-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-credit-loans-monthly
LLM text
/api/registry/manifest/ftshare-lab-economic-china-credit-loans-monthly?format=text
Install alias
/api/registry/install/ftshare-lab-economic-china-credit-loans-monthly
Recommend
/api/registry/recommend?task=Use%20economic-china-credit-loans-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
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
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
Choose a stronger alternative or inspect the source manually before any install attempt.
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.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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-credit-loans-monthly description: Get China credit/loans monthly data (中国信贷数据 月度). Use when user asks about 信贷, 新增信贷, 信贷数据, 中国信贷, 贷款增量, China credit loans, 社会融资. ---
# 中国经济 - 信贷（月度）
## 1. 接口描述
| 项目 | 说明 | |------|------| | 接口名称 | 信贷数据（月度汇总计算结果） | | 外部接口 | GET /api/v1/market/data/economic/china-credit-loans | | 请求方式 | GET | | 适用场景 | 获取中国信贷数据月度汇总，含新增信贷、同比、环比、当年累计及累计同比等 |
## 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）、`new_loans`（本月新增信贷）、`yoy`（同比 %）、`mom`（环比 %）、`cumulative`（当年累计）、`cumulative_yoy`（累计同比 %）、`unit`（亿元）、`currency`（CNY），以表格展示给用户。
## 4. 响应说明
返回值为信贷月度计算结果列表，按时间倒序。
### CreditComputed 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 | - | | new_loans | float | 是 | 本月新增信贷 | 见 unit | | yoy | float | 是 | 同比增长 | % | | mom | float | 是 | 环比增长 | % | | cumulative | float | 是 | 当年累计（1 月到当前月之和） | 见 unit | | cumulative_yoy | float | 是 | 累计同比增长 | % | | 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-credit-loans ```
## 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-credit-loans-monthly, ready for a manual X post.
economic-china-credit-loans-monthly: Get China credit/loans monthly data (中国信贷数据 月度). Use when user asks about 信贷, 新增信贷, 信贷数据, 中国信... 60 stars https://www.openagentskill.com/skills/ftshare-lab-economic-china-credit-loans-monthly?ref=x
Listing + install path for economic-china-credit-loans-monthly: https://www.openagentskill.com/skills/ftshare-lab-economic-china-credit-loans-monthly?ref=x Install: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-credit-loans-monthly
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
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[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-credit-loans-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)FTShare-Lab
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Do not auto-install
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shell or command execution, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
shell or command execution, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
shell or command execution, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
shell or command execution, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness