Creator · FTShare-Lab
Last updated · Sep 1, 2026
Get China CPI monthly data (居民消费价格指数 月度). Use when user asks about CPI, 居民消费价格指数, 消费价格指数, 中国CPI, 全国CPI, 城市农村CPI, China CPI.
Creator · FTShare-Lab
Last updated · Sep 1, 2026
Get China CPI monthly data (居民消费价格指数 月度). Use when user asks about CPI, 居民消费价格指数, 消费价格指数, 中国CPI, 全国CPI, 城市农村CPI, China CPI.
Creator · FTShare-Lab
Last updated · Sep 1, 2026
Get China CPI monthly data (居民消费价格指数 月度). Use when user asks about CPI, 居民消费价格指数, 消费价格指数, 中国CPI, 全国CPI, 城市农村CPI, China CPI.
Creator · FTShare-Lab
Last updated · Sep 1, 2026
Get China CPI monthly data (居民消费价格指数 月度). Use when user asks about CPI, 居民消费价格指数, 消费价格指数, 中国CPI, 全国CPI, 城市农村CPI, China CPI.
Sandbox only
Install targets
Codex install prompt
Install the "economic-china-cpi-monthly" agent skill from https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/economic-china-cpi-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 CPI monthly data (居民消费价格指数 月度). Use when user asks about CPI, 居民消费价格指数, 消费价格指数, 中国CPI, 全国CPI, 城市农村CPI, China CPI. 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-cpi-monthly","task":"Install economic-china-cpi-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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
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-cpi-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
65/100 Quality · 74/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
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-cpi-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-cpi-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-cpi-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20economic-china-cpi-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/ftshare-lab-economic-china-cpi-monthly/install
Agent should check
Copy prompt
Task: Use economic-china-cpi-monthly in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20economic-china-cpi-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-cpi-monthly/install
Install command: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-cpi-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-cpi-monthly/install
LLM text format
/api/skills/ftshare-lab-economic-china-cpi-monthly/install?format=text
Find alternatives
/api/skills/search?q=economic-china-cpi-monthly&limit=3
Agent prompt
Use economic-china-cpi-monthly for this task. Review https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-cpi-monthly/install, then install with: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-cpi-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-cpi-monthly
LLM text
/api/registry/manifest/ftshare-lab-economic-china-cpi-monthly?format=text
Install alias
/api/registry/install/ftshare-lab-economic-china-cpi-monthly
Recommend
/api/registry/recommend?task=Use%20economic-china-cpi-monthly%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
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
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Analyze markets
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
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-cpi-monthly description: Get China CPI monthly data (居民消费价格指数 月度). Use when user asks about CPI, 居民消费价格指数, 消费价格指数, 中国CPI, 全国CPI, 城市农村CPI, China CPI. ---
# 中国经济 - 居民消费价格指数（月度）
## 1. 接口描述
| 项目 | 说明 | |------|------| | 接口名称 | 居民消费价格指数（月度汇总计算结果） | | 外部接口 | GET /api/v1/market/data/economic/china-cpi | | 请求方式 | GET | | 适用场景 | 获取中国居民消费价格指数 CPI 月度汇总数据，含全国/城市/农村当月值及同比、环比等 |
## 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）、`national_cpi`/`national_yoy`/`national_mom`（全国 CPI 及同比、环比）、`cumulative`（累计）、`city_cpi`/`city_yoy`/`city_mom`（城市）、`rural_cpi`/`rural_yoy`/`rural_mom`（农村），以表格展示给用户。
## 4. 响应说明
返回值为居民消费价格指数月度计算结果列表，按时间倒序。
### ComputedCpi 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 | - | | national_cpi | float | 是 | 全国 CPI 当月值 | - | | national_yoy | float | 是 | 全国同比 | % | | national_mom | float | 是 | 全国环比 | % | | cumulative | float | 是 | 累计值 | - | | city_cpi | float | 是 | 城市 CPI 当月值 | - | | city_yoy | float | 是 | 城市同比 | % | | city_mom | float | 是 | 城市环比 | % | | rural_cpi | float | 是 | 农村 CPI 当月值 | - | | rural_yoy | float | 是 | 农村同比 | % | | rural_mom | float | 是 | 农村环比 | % |
## 5. 请求示例
``` GET /api/v1/market/data/economic/china-cpi ```
## 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。 - CPI 为指数（基期 100），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-cpi-monthly, ready for a manual X post.
economic-china-cpi-monthly: Get China CPI monthly data (居民消费价格指数 月度). Use when user asks about CPI, 居民消费价格指数, 消费价格指数, 中国C... 60 stars https://www.openagentskill.com/skills/ftshare-lab-economic-china-cpi-monthly?ref=x
Listing + install path for economic-china-cpi-monthly: https://www.openagentskill.com/skills/ftshare-lab-economic-china-cpi-monthly?ref=x Install: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-cpi-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-cpi-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-cpi-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-cpi-monthly/audit)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-cpi-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-cpi-monthly" agent skill from https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/economic-china-cpi-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 CPI monthly data (居民消费价格指数 月度). Use when user asks about CPI, 居民消费价格指数, 消费价格指数, 中国CPI, 全国CPI, 城市农村CPI, China CPI. 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-cpi-monthly","task":"Install economic-china-cpi-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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
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-cpi-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
65/100 Quality · 74/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
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-cpi-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-cpi-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-cpi-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20economic-china-cpi-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/ftshare-lab-economic-china-cpi-monthly/install
Agent should check
Copy prompt
Task: Use economic-china-cpi-monthly in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20economic-china-cpi-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-cpi-monthly/install
Install command: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-cpi-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-cpi-monthly/install
LLM text format
/api/skills/ftshare-lab-economic-china-cpi-monthly/install?format=text
Find alternatives
/api/skills/search?q=economic-china-cpi-monthly&limit=3
Agent prompt
Use economic-china-cpi-monthly for this task. Review https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-cpi-monthly/install, then install with: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-cpi-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-cpi-monthly
LLM text
/api/registry/manifest/ftshare-lab-economic-china-cpi-monthly?format=text
Install alias
/api/registry/install/ftshare-lab-economic-china-cpi-monthly
Recommend
/api/registry/recommend?task=Use%20economic-china-cpi-monthly%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
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
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Analyze markets
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
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-cpi-monthly description: Get China CPI monthly data (居民消费价格指数 月度). Use when user asks about CPI, 居民消费价格指数, 消费价格指数, 中国CPI, 全国CPI, 城市农村CPI, China CPI. ---
# 中国经济 - 居民消费价格指数（月度）
## 1. 接口描述
| 项目 | 说明 | |------|------| | 接口名称 | 居民消费价格指数（月度汇总计算结果） | | 外部接口 | GET /api/v1/market/data/economic/china-cpi | | 请求方式 | GET | | 适用场景 | 获取中国居民消费价格指数 CPI 月度汇总数据，含全国/城市/农村当月值及同比、环比等 |
## 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）、`national_cpi`/`national_yoy`/`national_mom`（全国 CPI 及同比、环比）、`cumulative`（累计）、`city_cpi`/`city_yoy`/`city_mom`（城市）、`rural_cpi`/`rural_yoy`/`rural_mom`（农村），以表格展示给用户。
## 4. 响应说明
返回值为居民消费价格指数月度计算结果列表，按时间倒序。
### ComputedCpi 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 | - | | national_cpi | float | 是 | 全国 CPI 当月值 | - | | national_yoy | float | 是 | 全国同比 | % | | national_mom | float | 是 | 全国环比 | % | | cumulative | float | 是 | 累计值 | - | | city_cpi | float | 是 | 城市 CPI 当月值 | - | | city_yoy | float | 是 | 城市同比 | % | | city_mom | float | 是 | 城市环比 | % | | rural_cpi | float | 是 | 农村 CPI 当月值 | - | | rural_yoy | float | 是 | 农村同比 | % | | rural_mom | float | 是 | 农村环比 | % |
## 5. 请求示例
``` GET /api/v1/market/data/economic/china-cpi ```
## 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。 - CPI 为指数（基期 100），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-cpi-monthly, ready for a manual X post.
economic-china-cpi-monthly: Get China CPI monthly data (居民消费价格指数 月度). Use when user asks about CPI, 居民消费价格指数, 消费价格指数, 中国C... 60 stars https://www.openagentskill.com/skills/ftshare-lab-economic-china-cpi-monthly?ref=x
Listing + install path for economic-china-cpi-monthly: https://www.openagentskill.com/skills/ftshare-lab-economic-china-cpi-monthly?ref=x Install: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-cpi-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-cpi-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-cpi-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-cpi-monthly/audit)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-cpi-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-cpi-monthly" agent skill from https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/economic-china-cpi-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 CPI monthly data (居民消费价格指数 月度). Use when user asks about CPI, 居民消费价格指数, 消费价格指数, 中国CPI, 全国CPI, 城市农村CPI, China CPI. 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-cpi-monthly","task":"Install economic-china-cpi-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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
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-cpi-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
65/100 Quality · 74/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
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-cpi-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-cpi-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-cpi-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20economic-china-cpi-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/ftshare-lab-economic-china-cpi-monthly/install
Agent should check
Copy prompt
Task: Use economic-china-cpi-monthly in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20economic-china-cpi-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-cpi-monthly/install
Install command: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-cpi-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-cpi-monthly/install
LLM text format
/api/skills/ftshare-lab-economic-china-cpi-monthly/install?format=text
Find alternatives
/api/skills/search?q=economic-china-cpi-monthly&limit=3
Agent prompt
Use economic-china-cpi-monthly for this task. Review https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-cpi-monthly/install, then install with: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-cpi-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-cpi-monthly
LLM text
/api/registry/manifest/ftshare-lab-economic-china-cpi-monthly?format=text
Install alias
/api/registry/install/ftshare-lab-economic-china-cpi-monthly
Recommend
/api/registry/recommend?task=Use%20economic-china-cpi-monthly%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
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
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Analyze markets
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
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-cpi-monthly description: Get China CPI monthly data (居民消费价格指数 月度). Use when user asks about CPI, 居民消费价格指数, 消费价格指数, 中国CPI, 全国CPI, 城市农村CPI, China CPI. ---
# 中国经济 - 居民消费价格指数（月度）
## 1. 接口描述
| 项目 | 说明 | |------|------| | 接口名称 | 居民消费价格指数（月度汇总计算结果） | | 外部接口 | GET /api/v1/market/data/economic/china-cpi | | 请求方式 | GET | | 适用场景 | 获取中国居民消费价格指数 CPI 月度汇总数据，含全国/城市/农村当月值及同比、环比等 |
## 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）、`national_cpi`/`national_yoy`/`national_mom`（全国 CPI 及同比、环比）、`cumulative`（累计）、`city_cpi`/`city_yoy`/`city_mom`（城市）、`rural_cpi`/`rural_yoy`/`rural_mom`（农村），以表格展示给用户。
## 4. 响应说明
返回值为居民消费价格指数月度计算结果列表，按时间倒序。
### ComputedCpi 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 | - | | national_cpi | float | 是 | 全国 CPI 当月值 | - | | national_yoy | float | 是 | 全国同比 | % | | national_mom | float | 是 | 全国环比 | % | | cumulative | float | 是 | 累计值 | - | | city_cpi | float | 是 | 城市 CPI 当月值 | - | | city_yoy | float | 是 | 城市同比 | % | | city_mom | float | 是 | 城市环比 | % | | rural_cpi | float | 是 | 农村 CPI 当月值 | - | | rural_yoy | float | 是 | 农村同比 | % | | rural_mom | float | 是 | 农村环比 | % |
## 5. 请求示例
``` GET /api/v1/market/data/economic/china-cpi ```
## 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。 - CPI 为指数（基期 100），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-cpi-monthly, ready for a manual X post.
economic-china-cpi-monthly: Get China CPI monthly data (居民消费价格指数 月度). Use when user asks about CPI, 居民消费价格指数, 消费价格指数, 中国C... 60 stars https://www.openagentskill.com/skills/ftshare-lab-economic-china-cpi-monthly?ref=x
Listing + install path for economic-china-cpi-monthly: https://www.openagentskill.com/skills/ftshare-lab-economic-china-cpi-monthly?ref=x Install: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-cpi-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-cpi-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-cpi-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-cpi-monthly/audit)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-cpi-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-cpi-monthly" agent skill from https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/economic-china-cpi-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 CPI monthly data (居民消费价格指数 月度). Use when user asks about CPI, 居民消费价格指数, 消费价格指数, 中国CPI, 全国CPI, 城市农村CPI, China CPI. 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-cpi-monthly","task":"Install economic-china-cpi-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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
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-cpi-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
65/100 Quality · 74/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
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-cpi-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-cpi-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-cpi-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20economic-china-cpi-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/ftshare-lab-economic-china-cpi-monthly/install
Agent should check
Copy prompt
Task: Use economic-china-cpi-monthly in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20economic-china-cpi-monthly%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-cpi-monthly/install
Install command: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-cpi-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-cpi-monthly/install
LLM text format
/api/skills/ftshare-lab-economic-china-cpi-monthly/install?format=text
Find alternatives
/api/skills/search?q=economic-china-cpi-monthly&limit=3
Agent prompt
Use economic-china-cpi-monthly for this task. Review https://www.openagentskill.com/api/skills/ftshare-lab-economic-china-cpi-monthly/install, then install with: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-cpi-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-cpi-monthly
LLM text
/api/registry/manifest/ftshare-lab-economic-china-cpi-monthly?format=text
Install alias
/api/registry/install/ftshare-lab-economic-china-cpi-monthly
Recommend
/api/registry/recommend?task=Use%20economic-china-cpi-monthly%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
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
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Analyze markets
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
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-cpi-monthly description: Get China CPI monthly data (居民消费价格指数 月度). Use when user asks about CPI, 居民消费价格指数, 消费价格指数, 中国CPI, 全国CPI, 城市农村CPI, China CPI. ---
# 中国经济 - 居民消费价格指数（月度）
## 1. 接口描述
| 项目 | 说明 | |------|------| | 接口名称 | 居民消费价格指数（月度汇总计算结果） | | 外部接口 | GET /api/v1/market/data/economic/china-cpi | | 请求方式 | GET | | 适用场景 | 获取中国居民消费价格指数 CPI 月度汇总数据，含全国/城市/农村当月值及同比、环比等 |
## 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）、`national_cpi`/`national_yoy`/`national_mom`（全国 CPI 及同比、环比）、`cumulative`（累计）、`city_cpi`/`city_yoy`/`city_mom`（城市）、`rural_cpi`/`rural_yoy`/`rural_mom`（农村），以表格展示给用户。
## 4. 响应说明
返回值为居民消费价格指数月度计算结果列表，按时间倒序。
### ComputedCpi 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 | - | | national_cpi | float | 是 | 全国 CPI 当月值 | - | | national_yoy | float | 是 | 全国同比 | % | | national_mom | float | 是 | 全国环比 | % | | cumulative | float | 是 | 累计值 | - | | city_cpi | float | 是 | 城市 CPI 当月值 | - | | city_yoy | float | 是 | 城市同比 | % | | city_mom | float | 是 | 城市环比 | % | | rural_cpi | float | 是 | 农村 CPI 当月值 | - | | rural_yoy | float | 是 | 农村同比 | % | | rural_mom | float | 是 | 农村环比 | % |
## 5. 请求示例
``` GET /api/v1/market/data/economic/china-cpi ```
## 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。 - CPI 为指数（基期 100），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-cpi-monthly, ready for a manual X post.
economic-china-cpi-monthly: Get China CPI monthly data (居民消费价格指数 月度). Use when user asks about CPI, 居民消费价格指数, 消费价格指数, 中国C... 60 stars https://www.openagentskill.com/skills/ftshare-lab-economic-china-cpi-monthly?ref=x
Listing + install path for economic-china-cpi-monthly: https://www.openagentskill.com/skills/ftshare-lab-economic-china-cpi-monthly?ref=x Install: npx skills add FTShare-Lab/FTShare-skill --skill economic-china-cpi-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-cpi-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-cpi-monthly?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-cpi-monthly/audit)
[](https://www.openagentskill.com/skills/ftshare-lab-economic-china-cpi-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 StarsPermission 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
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