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Test Json Sql Semantic Scholar

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-semantic-scholar -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, 128 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 combines JSON parsing, SQL query execution, and Semantic Scholar API interaction. It can extract data from structured JSON documents, formulate and run SQL queries against databases, and retrieve scholarly information using the Semantic Scholar API. The skill is designed to integrate these capabilities for complex data analysis tasks.

When to use it

  • Analyze research paper citation networks by querying a database of papers and then enriching results with Semantic Scholar data.
  • Extract specific data points from JSON exports of scientific datasets, perform calculations using SQL, and output the results.
  • Build a system that automatically updates a local knowledge base with new publications retrieved via the Semantic Scholar API and stored in a relational database.
  • Create reports combining information from multiple sources: a JSON file containing experimental data, a SQL database tracking project progress, and Semantic Scholar for related publications.

Key capabilities

  • JSON parsing
  • SQL query execution
  • Semantic Scholar API integration

Example prompts

  • "Extract the 'title' and 'authors' fields from this JSON document and store them in a table called 'papers'."
  • "Run this SQL query: SELECT * FROM papers WHERE year > 2020."
  • "Find publications by [author name] using Semantic Scholar and retrieve their abstracts."

Tips & gotchas

The skill requires access to both a database for SQL queries and an API key or appropriate authentication for the Semantic Scholar API. Ensure these credentials are properly configured before use.