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Grid Api

Checked
lightsparkdev·vlatest·backend·Apache-2.0

Provides API guidance and assistance for agent workflows.

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 lightsparkdev/grid-api --skill grid-api -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

lightsparkdev

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 lightsparkdev/grid-api at 44c5b3905c.

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

Commit
44c5b3905c
Manifest
.claude/skills/grid-api/SKILL.md
Scanned
4 files, 2,373 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 grid-api skill provides access to a grid API. It allows AI agents to interact with and retrieve data from a grid system, likely involving structured information or visual representations. This enables tasks like querying for specific elements within the grid and potentially manipulating its contents.

When to use it

  • Data Extraction: Extracting specific pieces of information from a visually represented dataset organized in a grid format.
  • Navigation & Exploration: Guiding an agent through a grid-based environment or interface, such as a map or game board.
  • Automated Analysis: Analyzing data presented in a grid structure to identify patterns and trends.
  • Inventory Management: Interacting with a virtual inventory displayed as a grid of items.

Key capabilities

  • Grid API access
  • Data retrieval from grids
  • Structured data interaction

Example prompts

  • "Get the value at row 3, column 2 in the grid."
  • "What is the item located in the top-right corner of the grid?"
  • “Describe the contents of the grid.”

Tips & gotchas

The skill's effectiveness depends on a well-defined and consistently structured grid. Ensure the agent has clear instructions regarding the grid’s layout and data representation for optimal results.