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Incorporation

Checked
kazukinagata·vlatest·other·MIT

This skill seamlessly integrates external data sources (like websites or APIs) into your responses for richer, up-to-date information and enhanced context.

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 incorporation -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
4 files, 1,015 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, "incorporation," allows an AI agent to integrate external information or data into its existing knowledge base. It can take new facts, concepts, or perspectives and effectively weave them into the agent's understanding. This results in more informed responses and a broader range of capabilities.

When to use it

  • When you need the agent to understand a specific document or dataset that isn’t part of its core training.
  • To update the agent with current events or new information in a rapidly changing field.
  • To allow an agent to adapt to a user's unique terminology or context.
  • For specialized tasks requiring integration of niche knowledge.

Key capabilities

  • Integration of external data sources
  • Knowledge base expansion
  • Adaptation to specific contexts
  • Incorporating new facts and concepts

Example prompts

  • "Incorporate the contents of this PDF document into your knowledge."
  • "Please incorporate these key terms: [list of terms] into your understanding of marketing."
  • "Update your information with the latest news regarding climate change from this website."

Tips & gotchas

The effectiveness of incorporation depends on the clarity and structure of the provided data. Large or unstructured datasets may require pre-processing for optimal results.