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Ip Evaluator

Checked
gonglingrui·vlatest·security·MIT

This IP Evaluator analyzes an IP address to determine its location and potential risk level, aiding in security assessments and threat intelligence.

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 vangong1999/screen-creative-skills --skill ip-evaluator -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

gonglingrui

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 gonglingrui/screen-creative-skills at 6ced54f40c.

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

Commit
6ced54f40c
Manifest
category/evaluation/ip-evaluator/SKILL.md
Scanned
6 files, 1,264 lines
Copies in repo
2 — all of them scanned
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 gonglingrui-ip-evaluator skill assesses intellectual property (IP) risks associated with text. It analyzes given text to identify potential copyright infringement, plagiarism, or other IP concerns. The tool aims to provide a risk score and highlight problematic sections within the provided content.

When to use it

  • Content Creation: Before publishing blog posts, articles, or marketing materials to ensure originality and avoid legal issues.
  • Academic Writing: Evaluate student papers for plagiarism before grading.
  • Code Generation: Check generated code snippets against existing open-source licenses to identify potential licensing conflicts.
  • Research & Development: Assess the IP risk of incorporating external content into new products or services.

Key capabilities

  • IP Risk Assessment: Provides an overall risk score for intellectual property concerns.
  • Problematic Section Identification: Highlights specific portions of text that raise red flags.
  • Copyright/Plagiarism Detection: Identifies potential instances of copyright infringement or plagiarism.

Example prompts

  • "Evaluate the IP risk of this article draft: [paste article content]"
  • "Assess this student essay for plagiarism: [paste essay content]"
  • "Can you check this code snippet for licensing conflicts? [paste code]"

Tips & gotchas

The accuracy of the evaluation depends heavily on the quality and comprehensiveness of its underlying data sources. Results should be reviewed by a legal professional for critical decisions involving IP rights.