Findata Toolkit Cn
CheckedFindata Toolkit Cn helps locate and extract specific data from Chinese documents quickly, boosting research efficiency.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add geeksfino/finskills --skill findata-toolkit-cn -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
geeksfino
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned geeksfino/finskills at 8722415a68.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 8722415a68
- Scanned
- 9 files, 1,198 lines
About this skill
What it does
The Findata Toolkit Cn skill provides access to real-time financial data and quantitative calculations for the A-share market in China. It allows AI agents to retrieve fundamental data, historical quotes, financial indicators, insider trading information, and macroeconomic data—all without requiring API keys. The tool outputs data in JSON format, making it easy to parse and integrate into other applications.
When to use it
- Researching A-share market performance and trends.
- Analyzing the financials of specific Chinese companies (e.g., 600519 for Guizhou Moutai).
- Monitoring macroeconomic indicators in China, such as CPI/PPI or PMI data.
- Tracking Northbound trading flows through the Shanghai and Shenzhen stock connect programs.
- Screening stocks based on specified criteria.
Key capabilities
- Retrieval of A-share market data using AKShare (no API key required).
- Access to fundamental company data, historical quotes, financial statements, and insider trading information.
- Provision of macroeconomic indicators like interest rates, inflation figures, and PMI data.
- Output of results in JSON format for easy parsing.
- Customizable configuration options via
config/data_sources.yaml(for rate limiting or adding paid data sources).
Example prompts
- "Get the basic information for stock 600519."
- "Show me the complete financial indicators for company 000858."
- "Retrieve the historical OHLCV data for a specific stock symbol."
- "What is China's current PMI data?"
Tips & gotchas
- Requires Python and
requirements.txtto be installed before use. - The tool retrieves data from AKShare, which provides free data without API keys.
- Output is in JSON format; ensure your AI agent can parse this format.