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Jules

Listed
sanjay3290·vlatest·database·Apache-2.0

Jules generates creative story ideas & prompts, sparking your imagination and overcoming writer's block – a fantastic tool for content creators!

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 sanjay3290/ai-skills --skill jules -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

sanjay3290

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: jules.googleapis.com.

    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.

    Hosts contacted

    jules.googleapis.comundeclared

    What it found

    • skills/jules/SKILL.md:97contacts jules.googleapis.com
      curl -s -X POST "https://jules.googleapis.com/v1alpha/sessions" \
    • skills/jules/SKILL.md:171contacts jules.googleapis.com
      curl -s -X POST "https://jules.googleapis.com/v1alpha/sessions" \

  • 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 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 sanjay3290/postgres-skill at 281d88df19.

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

Commit
281d88df19
Manifest
skills/jules/SKILL.md
Scanned
1 file, 256 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 jules skill provides access to a PostgreSQL database. It allows an AI agent to execute SQL queries, retrieve data, and perform operations within the specified database environment. This enables agents to interact with structured data stores for tasks like reporting, analysis, and data manipulation.

When to use it

  • Data Extraction: Retrieve specific information from a PostgreSQL database based on natural language requests (e.g., "Get all customers in California").
  • Report Generation: Generate reports by querying the database and formatting the results into a readable format.
  • Database Administration: Perform basic administrative tasks like creating tables or updating data, although this may require specific permissions.
  • Data Analysis: Analyze data stored within the PostgreSQL database to identify trends or patterns.

Key capabilities

  • SQL Query Execution: Executes SQL queries against a PostgreSQL database.
  • Data Retrieval: Retrieves data from specified tables and views.
  • Database Interaction: Provides an interface for interacting with a PostgreSQL environment.

Example prompts

  • "Show me the names of all products with a price greater than $50."
  • "Create a table called 'orders' with columns for order_id, customer_id, and order_date."
  • “What is the average order value?”

Tips & gotchas

The skill requires access to a PostgreSQL database instance. Ensure the AI agent has the necessary credentials (username and password) to connect and interact with the target database.