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Geo Llms Txt

Checked
geoly-ai·vlatest·ai-ml

Geo LLMs TXT generates location-aware text prompts and responses leveraging geographic data for richer, contextually relevant AI interactions.

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 geoly-ai/geo-skills --skill geo-llms-txt -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

geoly-ai

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 geoly-ai/geo-skills at fa042a4919.

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

Commit
fa042a4919
Manifest
geo-llms-txt/SKILL.md
Scanned
7 files, 1,356 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 allows AI agents to process and understand text related to geographical locations. It can extract location names, identify place types (e.g., city, country, landmark), and potentially perform basic geospatial reasoning based on textual descriptions. The skill is designed for applications requiring location-aware natural language understanding.

When to use it

  • Travel Planning: Extract destinations and points of interest from user requests ("Find restaurants near the Eiffel Tower").
  • Local Business Search: Identify businesses mentioned in text reviews or articles ("What coffee shops are located downtown?").
  • Geographic Data Enrichment: Automatically tag location information within unstructured text data.
  • Content Summarization: Summarize news articles or documents that frequently mention specific places.

Key capabilities

  • Location Name Extraction
  • Place Type Identification
  • Geospatial Reasoning (basic)
  • Text Processing for Geographic Context

Example prompts

  • "What is the capital of France?"
  • "Find me hotels near Times Square in New York City."
  • "Extract all the cities mentioned in this article: [article text]"

Tips & gotchas

The accuracy of location identification depends on the clarity and specificity of the input text. Ambiguous place names may require additional context for correct interpretation.