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Test Json Sql Project

Checked
bdambrosio·vlatest·database·MIT

Helps with testing, JSON as part of working with databases and data persistence 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 bdambrosio/cognitive_workbench --skill test-json-sql-project -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.

Commit
173aaf39df
Manifest
src/saved_plans/test-json-sql-project/SKILL.md
Scanned
2 files, 73 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 JSON data and execute SQL queries. It can extract information from structured JSON documents, transform the data, and then use that transformed data to generate and run SQL statements against a database. The results of these SQL queries are returned as JSON.

When to use it

  • Data Extraction & Reporting: Automatically pull specific data points from JSON logs or files and generate reports using SQL aggregation.
  • Database Updates: Update database records based on information contained within incoming JSON payloads.
  • API Integration: Process data received from external APIs (often in JSON format) and store/update related information in a relational database.
  • Data Transformation Pipelines: Build simple ETL pipelines where JSON is the source, SQL transformations are applied, and the output is also returned as JSON.

Key capabilities

  • JSON parsing and data extraction
  • SQL query generation from extracted data
  • Database interaction (query execution)
  • JSON response formatting of SQL results

Example prompts

  • "Extract the 'order_id' and 'total_amount' fields from this JSON: [JSON data] and run a SELECT statement to find the average order total."
  • "Parse this JSON: [JSON data]. Use the extracted values to update the 'customer_name' field in the 'customers' table where customer ID is [ID]."
  • “Given this JSON payload [JSON Data], create an INSERT statement for the ‘products’ table.”

Tips & gotchas

  • The skill requires access to a database and appropriate credentials. Ensure these are configured correctly before use.
  • The quality of the SQL generated depends heavily on the clarity and structure of the input JSON data.