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Xlsx Processing Openai

Checked
lawvable·vlatest·ai-ml

Helps with Excel/spreadsheets, OpenAI as part of building AI and machine learning applications workflows.

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 lawve-ai/awesome-legal-skills --skill xlsx-processing-openai -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

lawvable

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 lawvable/awesome-legal-skills at 180fd1582c.

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

Scanned
7 files, 414 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

What it does

This skill allows AI agents to process and extract data from .xlsx (Microsoft Excel) files using OpenAI's capabilities. It can read the contents of spreadsheets, interpret tabular data, and respond with extracted information in a structured format like JSON or text. The agent can also perform calculations based on spreadsheet data.

When to use it

  • Data Extraction: Quickly pull specific data points from large Excel files without manual copying and pasting.
  • Report Generation: Automate the creation of summaries and reports based on information contained within spreadsheets.
  • Financial Analysis: Perform basic calculations (sums, averages) on financial data stored in Excel sheets.
  • Data Migration: Extract data from legacy Excel formats for use in other applications or databases.

Key capabilities

  • Reads .xlsx files.
  • Extracts data from spreadsheets.
  • Supports tabular data interpretation.
  • Performs calculations on spreadsheet data.
  • Outputs extracted information in structured formats (JSON, text).

Example prompts

  • "Can you extract the sales figures for Q3 2023 from this file?" [attaches sales_data.xlsx]
  • "What is the total revenue calculated from column B and column C of this spreadsheet?" [attaches budget.xlsx]
  • "Summarize the key findings in a JSON format from the attached Excel file." [attaches market_research.xlsx]

Tips & gotchas

  • The skill's performance depends on the clarity and structure of the data within the .xlsx file. Complex or poorly formatted spreadsheets may yield inaccurate results.