Skip to content
TrustedSkillsbeta
Back to all skills

Crustdata Automation

Checked
composiohq·vlatest·data

Automates data extraction, cleaning, and analysis from crustacean industry reports using ComposioHQ's AI.

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 composiohq/awesome-claude-skills --skill crustdata-automation --full-depth -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

composiohq

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 composiohq/awesome-claude-skills at be2a406907.

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

Commit
be2a406907
Manifest
composio-skills/crustdata-automation/SKILL.md
Scanned
1 file, 84 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 crustdata-automation skill automates data extraction and processing from Crust.com, a platform for storing and accessing geospatial data. It can retrieve specific datasets based on provided criteria, transform the data into usable formats like CSV or GeoJSON, and perform basic analysis. This allows users to integrate geospatial information directly into their workflows without manual intervention.

When to use it

  • Automated Reporting: Generate regular reports containing key metrics derived from Crust.com datasets (e.g., daily rainfall totals for a specific region).
  • Data Integration: Automatically pull data from Crust.com and integrate it with other systems or databases for analysis or visualization.
  • Geospatial Analysis Pipelines: Incorporate Crust.com data into automated geospatial processing pipelines, such as creating updated maps or performing change detection analyses.
  • Real-time Monitoring: Set up triggers to automatically retrieve and process data from Crust.com when specific events occur (e.g., a new dataset is published).

Key capabilities

  • Data retrieval from Crust.com
  • Dataset filtering based on criteria
  • Data transformation into CSV or GeoJSON format
  • Basic data analysis

Example prompts

  • "Get the latest rainfall data for California in GeoJSON format."
  • "Retrieve all datasets related to 'flood risk' and save them as a CSV file."
  • "What is the average elevation of the areas covered by dataset ID 12345?"

Tips & gotchas

Requires familiarity with Crust.com data structure and API conventions for optimal results. Specific dataset IDs or search terms are needed to accurately retrieve desired information.