Skip to content
TrustedSkillsbeta
Back to all skills

Data Analysis

Checked
jinfanzheng·vlatest·data·MIT

Helps with data, analysis as part of data analysis and analytics workflows workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add jinfanzheng/kode-sdk-csharp --skill data-analysis -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

jinfanzheng

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 jinfanzheng/kode-sdk-csharp at 8531dbdfa5.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
8531dbdfa5
Manifest
examples/Kode.Agent.WebApiAssistant/skills/data-analysis/SKILL.md
Scanned
8 files, 1,306 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The data-analysis skill from jinfanzheng enables AI agents to perform statistical analysis and generate visualizations using the Kode SDK for C#. It processes datasets directly within the agent's environment to derive insights without external tool dependencies.

When to use it

  • Analyzing sales figures or user metrics stored in local JSON or CSV files.
  • Generating trend charts or distribution plots from raw numerical data.
  • Calculating summary statistics like mean, median, and standard deviation for experimental results.
  • Preparing data summaries for reports when the agent has access to a C# runtime environment.

Key capabilities

  • Statistical computation functions (mean, median, mode, variance).
  • Data visualization generation via Kode SDK charts.
  • Dataset parsing and manipulation within C# contexts.
  • Automated insight derivation from structured data inputs.

Example prompts

  • "Analyze the attached sales report and calculate the average monthly revenue for Q3."
  • "Generate a line chart showing user growth trends over the last six months using the provided dataset."
  • "Summarize the distribution of customer ages in our database and identify any outliers."

Tips & gotchas

This skill requires a C# runtime environment to execute; it cannot process data if the agent lacks access to the Kode SDK. Ensure your data is formatted as compatible objects or files before requesting analysis, as direct text parsing may yield inaccurate results for complex datasets.