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Ontopo

Listed
alexpolonsky·vlatest·other·MIT

Ontopo extracts structured knowledge (triples) from unstructured text, enabling semantic understanding and reasoning for AI applications.

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 alexpolonsky/agent-skill-ontopo --skill ontopo -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

alexpolonsky

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: ontopo.com.

    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

    ontopo.comundeclared

    What it found (3 of 5)

    • scripts/ontopo-cli.py:29contacts ontopo.com
      BASE_URL = "https://ontopo.com/api"
    • scripts/ontopo-cli.py:30contacts ontopo.com
      WEBSITE_URL = "https://ontopo.com"
    • scripts/ontopo-cli.py:159contacts ontopo.com
      return f"https://ontopo.com/{locale}/il/page/{page_id}"

  • 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 alexpolonsky/agent-skill-ontopo at fb3b4d5da4.

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

Commit
fb3b4d5da4
Manifest
SKILL.md
Scanned
10 files, 2,436 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 ontopo skill allows AI agents to organize and manage information in a structured way. It facilitates creating hierarchical relationships between data points, enabling more complex reasoning and knowledge representation. This skill helps an agent build connections between disparate pieces of information for improved understanding and task completion.

When to use it

  • Knowledge Base Construction: Building a structured database from unstructured text or data sources.
  • Concept Mapping: Visually representing relationships between ideas, topics, or entities.
  • Task Decomposition: Breaking down complex tasks into smaller, interconnected sub-tasks.
  • Information Synthesis: Combining information from multiple sources to create a coherent overview of a subject.

Key capabilities

  • Hierarchical data organization
  • Relationship mapping
  • Knowledge representation
  • Structured reasoning

Example prompts

  • "Create a hierarchy for these concepts: dogs, mammals, animals, vertebrates."
  • "Map the relationships between 'Project A', 'Task 1', and 'John Doe'."
  • "Organize this information into a structured format with parent-child relationships: [list of data points]"

Tips & gotchas

The effectiveness of ontopo depends on providing clear and well-defined input. Ambiguous or poorly formatted data may lead to unexpected or inaccurate hierarchical structures.