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Deep Research

Checked
sanjay3290·vlatest·database·Apache-2.0

This skill performs in-depth research on any topic, quickly synthesizing information and providing comprehensive insights for informed decisions.

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 deep-research -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 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

    Only contacts known or declared hosts: generativelanguage.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

    generativelanguage.googleapis.commodel provider

  • 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/deep-research/SKILL.md
Scanned
4 files, 1,001 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, sanjay3290-deep-research, provides advanced research capabilities. It can analyze large datasets and extract specific information based on complex queries. The tool is designed to perform in-depth investigations and synthesize findings from various sources within a PostgreSQL database.

When to use it

  • Market Analysis: Investigate trends, competitor strategies, or customer behavior stored in a relational database.
  • Scientific Research: Analyze experimental data and identify correlations or anomalies within scientific datasets.
  • Financial Investigation: Trace transactions and uncover patterns of activity from financial records held in PostgreSQL.
  • Legal Discovery: Quickly search and extract relevant documents and information from large legal databases stored in a PostgreSQL environment.

Key capabilities

  • Advanced data analysis within PostgreSQL
  • Complex query execution
  • Data extraction based on intricate criteria
  • Synthesis of findings from multiple sources

Example prompts

  • "Analyze sales data for the last quarter and identify top-performing products."
  • "Find all customers who made purchases over $1000 in the past year, sorted by purchase frequency."
  • "Identify any unusual patterns in network traffic logs stored in PostgreSQL."

Tips & gotchas

This skill requires a working PostgreSQL database to function. Ensure the AI agent has appropriate permissions and access to query the relevant tables within the database for optimal results.