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Reading Invoice

Checked
kazukinagata·vlatest·data·MIT

This skill extracts key data from invoices (like amounts, dates, and vendor details) automatically, saving time and reducing manual errors.

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 kazukinagata/shinkoku --skill reading-invoice -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

kazukinagata

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 kazukinagata/shinkoku at 607574d5e5.

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

Scanned
2 files, 136 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 extract data from invoice documents. It can identify key fields such as vendor names, dates, amounts due, and line items. The extracted information can then be used for automated accounting tasks or data analysis.

When to use it

  • Automating accounts payable: Extracting data from invoices to automatically populate accounting software.
  • Expense report processing: Quickly gathering invoice details for employee expense reports.
  • Vendor management: Analyzing invoice trends and identifying potential cost savings opportunities.
  • Data entry reduction: Minimizing manual data entry by automating the extraction of information from paper or digital invoices.

Key capabilities

  • Invoice Data Extraction
  • Vendor Name Identification
  • Date Recognition
  • Amount Due Calculation
  • Line Item Parsing

Example prompts

  • "Extract all details from this invoice." (followed by providing an image or PDF)
  • "What is the total amount due on this invoice?" (followed by providing an image or PDF)
  • "Can you list all the line items and their prices from this invoice?" (followed by providing an image or PDF)

Tips & gotchas

The skill's accuracy depends heavily on the quality of the input invoice. Clear, well-formatted invoices will yield better results than handwritten or poorly scanned documents.