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Food Label Review

Checked
zh-xx·vlatest·other·Apache-2.0

Analyzes food labels for nutritional information, allergens, and compliance with regulations based on specified criteria.

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 zh-xx/legal-assistant-skills --skill food-label-review -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

zh-xx

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 zh-xx/legal-assistant-skills at 3094afd0b6.

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

Scanned
32 files, 2,256 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 analyzes food labels to extract key information and identify potential issues. It can summarize nutritional information, highlight ingredients of concern based on user input, and assess compliance with labeling regulations. The tool aims to provide a quick and efficient review for legal or consumer purposes.

When to use it

  • Reviewing a competitor's product label for marketing analysis.
  • Checking a food label for allergens before purchasing for someone with allergies.
  • Assessing a food label’s compliance with specific labeling laws (e.g., GMO disclosure).
  • Summarizing the nutritional content of multiple food labels for comparison.

Key capabilities

  • Nutritional information extraction
  • Ingredient identification and analysis
  • Regulatory compliance assessment
  • Label summarization

Example prompts

  • "Analyze this food label and tell me if it contains peanuts." (Provide image or text)
  • “Summarize the nutritional content of this product label.” (Provide image or text)
  • "Does this label comply with California's GMO labeling requirements?" (Provide image or text)

Tips & gotchas

The skill’s accuracy depends on the clarity and completeness of the provided food label. Ensure the label is legible and in a standard format for best results.