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Domain Hunter

Listed
resciencelab·vlatest·writing·Apache-2.0

The Domain Hunter skill identifies relevant domains related to a given topic, accelerating research and uncovering valuable online resources.

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 resciencelab/opc-skills --skill domain-hunter -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

resciencelab

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 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: spaceship.dev.

    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

    spaceship.devundeclared

    What it found (3 of 26)

    • skills/domain-hunter/references/spaceship-api.md:27contacts spaceship.dev
      curl -s -X GET "https://spaceship.dev/api/v1/domains?take=100&skip=0" \
    • skills/domain-hunter/references/spaceship-api.md:34contacts spaceship.dev
      curl -s -X POST "https://spaceship.dev/api/v1/domains/available" \
    • skills/domain-hunter/references/spaceship-api.md:44contacts spaceship.dev
      curl -s -X GET "https://spaceship.dev/api/v1/domains/{domain}/available" \

  • 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 resciencelab/opc-skills at 746e247ecb.

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

Commit
746e247ecb
Manifest
skills/domain-hunter/SKILL.md
Scanned
5 files, 631 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 domain-hunter skill enables AI agents to identify and extract relevant domain names from unstructured text, such as emails, documents, or web pages. It leverages natural language processing (NLP) techniques to detect mentions of domains in context, making it useful for tasks like data extraction, cybersecurity monitoring, or competitive intelligence.

When to use it

  • Extracting company websites from a list of email addresses or contact information.
  • Monitoring online content for mentions of specific domain names related to security threats.
  • Gathering domain-related insights from research papers or technical documentation.

Key capabilities

  • Detects domain names within text using NLP models.
  • Supports multiple formats, including plain text, HTML, and PDF documents.
  • Filters out irrelevant or malformed domain suggestions.

Example prompts

  • "Find all domain names mentioned in this email."
  • "Extract the company website from this document."
  • "Identify any suspicious domains in this web page content."

Tips & gotchas

  • Ensure the text input is clean and well-formatted for accurate results.
  • The skill may not detect non-standard or misspelled domain names effectively.