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Requirements for Outputs

Official
anthropics·vlatest·writing

Transforms spreadsheet data (xlsx) into clear, concise text reports and summaries for easy understanding.

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 anthropics/skills --skill xlsx -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

anthropics

Matched to the vendor's own GitHub organisation.

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: openoffice.org.

    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.

    Hosts contacted

    schemas.openxmlformats.orgnamespace identifierwww.w3.orgstandardsschemas.microsoft.comnamespace identifieropenoffice.orgundeclared

    What it found

    • skills/xlsx/scripts/recalc.py:32contacts openoffice.org
      <script:module xmlns:script="http://openoffice.org/2000/script" script:name="Module1" script:language="StarBasic">
  • 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 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 anthropics/skills at dbd4588f9e.

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

Scanned
14 files, 3,334 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

The xlsx skill enables AI agents to read, write, and manipulate Excel files in the .xlsx format. It supports operations like creating new spreadsheets, modifying cell values, formatting data, and exporting structured information into Excel-compatible formats.

When to use it

  • Automating report generation by populating Excel templates with dynamic data
  • Extracting tabular data from Excel files for further processing or analysis
  • Creating formatted spreadsheets for sharing results with stakeholders

Key capabilities

  • Reading and parsing .xlsx file contents
  • Writing structured data into new or existing Excel files
  • Applying basic formatting to cells, rows, and columns

Example prompts

  • "Generate an Excel report summarizing sales data from the last quarter."
  • "Export this table of customer information into a downloadable .xlsx file."
  • "Update the 'Revenue' column in the provided spreadsheet with the latest figures."

Tips & gotchas

  • Ensure that the AI agent has access to the necessary libraries or tools for handling Excel files.
  • Large spreadsheets may require additional memory and processing time, so optimize data size when possible.

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