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Chinacscs Data Skill

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infometa
chinacscs-data-skill

中证数智企业数据查询技能 - 覆盖工商、司法风险、财务、舆情、中证特色经营数据与区域经济指标

Overview

Publisherinfometa
Repositoryworkbuddyskills
Skill namechinacscs-data-skill
Stars
376
Forks
124
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by infometa on GitHub. Read the source before you install it.

Installation

Install the Chinacscs Data Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/infometa/workbuddyskills/tree/main/connectors/chinacscs-data/skills
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/infometa/workbuddyskills.git /tmp/workbuddyskills
mkdir -p .claude/skills
cp -r /tmp/workbuddyskills/connectors/chinacscs-data/skills .claude/skills/chinacscs-data-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Chinacscs Data Skill in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Chinacscs Data Skill on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Chinacscs Data Skill is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

中证数智企业数据 Skill

本 Skill 提供中证数智平台 70+ 个数据查询工具的统一入口,采用「语义检索 + 精准执行」两阶段架构。

核心调用流程(必须遵守)

  1. 先检索:将用户的自然语言问题原样(或稍加改写补充数据域关键词)传给 find_tool,获得相似度最高的前 5 个候选工具;
  2. 再执行:从候选中选出最匹配的工具,按该候选返回的参数定义构造参数,调用 call_tool 获取结果;
  3. 不理想则改写重试:若候选工具与问题不匹配(如查财务却返回工商工具),在问题中补充数据域关键词(见下方数据域清单)后重新调用 find_tool;
  4. 禁止跳过 find_tool 直接猜测工具名调用 call_tool。

可用工具

find_tool - 检索数据查询工具

根据用户问题检索最合适的数据查询工具,返回相似度最高的前 5 个候选(含工具名、描述、参数定义)。

参数:以工具实际暴露的 inputSchema 为准(用户的自然语言查询问题)。

使用示例:

  • 查工商:问题中包含"工商登记 / 股东 / 法定代表人 / 注册资本"
  • 查风险:问题中包含"失信 / 被执行人 / 行政处罚 / 经营异常 / 股权出质"
  • 查财务:问题中包含"资产负债表 / 利润表 / 财务指标 / 业绩预告"

call_tool - 执行数据查询

调用 find_tool 返回的指定工具并返回查询结果。

参数:以工具实际暴露的 inputSchema 为准(目标工具标识 + 该工具的结构化查询参数)。

使用示例:

  • 企业类查询通常需要:企业名称/统一社会信用代码 + 分页参数(pageIndex/pageSize)
  • 区域类查询通常需要:行政区划代码 + 指标编码

数据域清单(构造检索问题时参考)

数据域典型内容
工商基础工商登记、股东投资、人员信息、关联关系、变更年报
风险信息失信违法、司法涉诉、行政处罚、股权风险、税务风险、经营异常、资产抵押
财务数据资产负债表、利润表、现金流量表、财务分析指标、业绩预告
舆情动态企业公告、负面新闻监测
中证特色敞口映射、敞口分类、经营量化指标、指标定义
区域数据四级行政区划字典、区域经济财政债务指标

认证说明

  • API Key 需用户在中证数智控制台「API 密钥」页面生成:https://ds.chinacscs.com/dashboard/api-keys
  • 凭证仅存储在用户本机 ~/.workbuddy 下,不会上传云端
  • 遇到 401 / 鉴权失败错误时,提示用户到 WorkBuddy 连接器设置中更新 API Key

注意事项

  • 列表类结果有分页,默认只返回第一页;需要更多数据时递增 pageIndex
  • 查询前若只有企业简称,优先用工商基础域工具确认完整企业名称/信用代码
  • 避免无目标的批量扫描式调用(如遍历全量企业),按用户具体问题精准查询

Frequently asked questions

What does the Chinacscs Data Skill AI skill do?

中证数智企业数据查询技能 - 覆盖工商、司法风险、财务、舆情、中证特色经营数据与区域经济指标

Why use Chinacscs Data Skill on TypingMind?

Because you install it once and use it with any model. Chinacscs Data Skill is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Chinacscs Data Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/infometa/workbuddyskills/tree/main/connectors/chinacscs-data/skills. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Chinacscs Data Skill?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Chinacscs Data Skill?

As many as you like. As long as a model supports skills, you can use Chinacscs Data Skill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Chinacscs Data Skill AI skill free?

It is published on GitHub by infometa. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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