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Tear Sheet

Official
anthropics·vlatest·other·Apache-2.0

This skill extracts key information from marketing materials like tear sheets to quickly summarize product details and benefits.

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 anthropics/financial-services --skill tear-sheet -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 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 anthropics/financial-services-plugins at 574ed3624a.

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

Commit
574ed3624a
Manifest
plugins/partner-built/spglobal/skills/tear-sheet/SKILL.md
Scanned
6 files, 1,237 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 tear-sheet skill extracts key data points from financial documents, such as invoices or statements. It can identify and isolate specific fields like dates, amounts, vendor names, and line items. This allows for automated data entry and analysis of complex financial records.

When to use it

  • Automating invoice processing: Extracting data from incoming supplier invoices to populate accounting systems.
  • Analyzing bank statements: Identifying recurring payments or unusual transactions within a statement.
  • Extracting information from loan documents: Pulling key terms, interest rates, and payment schedules from mortgage or business loan agreements.
  • Processing expense reports: Automatically identifying dates, amounts, and categories from receipts attached to expense reports.

Key capabilities

  • Data extraction from financial documents
  • Identification of specific fields (dates, amounts, names)
  • Line item recognition
  • Support for various document formats (implied by use cases)

Example prompts

  • "Extract the invoice number and total amount from this PDF."
  • "What is the due date on this bank statement?"
  • "Can you list all vendor names mentioned in these invoices?"

Tips & gotchas

The accuracy of data extraction depends heavily on the quality and format of the input document. Clear, well-structured documents will yield better results than poorly scanned or handwritten ones.