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Test Json Sql Sort

Checked
bdambrosio·vlatest·database·MIT

Helps with testing, JSON as part of working with databases and data persistence workflows.

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 bdambrosio/cognitive_workbench --skill test-json-sql-sort -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

bdambrosio

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 bdambrosio/cognitive_workbench at 173aaf39df.

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

Scanned
2 files, 74 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 processes JSON data, executes SQL queries against a database, and sorts the resulting dataset. It can extract information from JSON structures, perform transformations using SQL, and then arrange the output in a specific order based on user-defined criteria. The skill is designed to handle complex data manipulation tasks involving both structured and semi-structured data sources.

When to use it

  • Data Extraction & Reporting: Generate reports by extracting specific fields from JSON files and combining them with data retrieved from a SQL database.
  • Data Transformation Pipelines: Clean, transform, and sort data flowing between different systems or applications where JSON is the input format and SQL is used for processing.
  • Inventory Management: Sort product listings extracted from a JSON inventory file based on price or stock level after querying related information from a database.
  • Customer Data Analysis: Combine customer profile data (JSON) with purchase history (SQL) to analyze trends and sort customers by lifetime value.

Key capabilities

  • JSON parsing and data extraction
  • SQL query execution
  • Data sorting based on user-defined criteria
  • Integration of JSON and SQL data sources

Example prompts

  • "Extract order details from orders.json and join with customer information from the customers table, then sort by date."
  • "Read product data from products.json, query current stock levels from the database, and sort the results by price in descending order."
  • “Parse this JSON: [JSON content] and retrieve corresponding data from the 'users' SQL table, sorting by age.”

Tips & gotchas

  • Ensure the AI agent has access to both the JSON file and the necessary database credentials.
  • The skill’s effectiveness depends on well-formed JSON and valid SQL queries; errors in either will impact results.