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Ontology

Checked
sundial-org·vlatest·other

This Ontology skill defines structured knowledge graphs to represent relationships between concepts, improving data understanding and reasoning.

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 sundial-org/awesome-openclaw-skills --skill ontology -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

sundial-org

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 sundial-org/awesome-openclaw-skills at b80cde2ef8.

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

Commit
b80cde2ef8
Manifest
skills/ontology/SKILL.md
Scanned
4 files, 1,061 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

The ontology skill provides a structured framework for defining relationships, hierarchies, and constraints within an AI agent's knowledge base. It enables agents to reason logically about concepts by mapping how different entities connect to one another.

When to use it

  • Building custom knowledge graphs where specific domain logic must be enforced.
  • Clarifying ambiguous terms to ensure the agent interprets context correctly.
  • Defining parent-child relationships between complex concepts for better reasoning.
  • Establishing strict rules that limit how an agent can infer new information.

Key capabilities

  • Defines explicit semantic relationships between distinct concepts.
  • Creates hierarchical structures to organize knowledge logically.
  • Enforces logical constraints on how data is interpreted and linked.

Example prompts

  • "Create an ontology for a medical diagnosis system that links symptoms to potential diseases."
  • "Define the relationship hierarchy between software components, libraries, and dependencies."
  • "Establish rules in my knowledge base that prevent confusing 'cloud computing' with 'local server storage'."

Tips & gotchas

This skill requires clear input definitions; vague concepts will result in weak logical connections. Ensure you explicitly state the direction of relationships (e.g., A is a type of B) to avoid circular reasoning errors.