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Grepai Storage Postgres

Checked
yoanbernabeu·vlatest·database·MIT

Helps with storage, PostgreSQL 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 yoanbernabeu/grepai-skills --skill grepai-storage-postgres -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

yoanbernabeu

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 yoanbernabeu/grepai-skills at 382d40261c.

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

Commit
382d40261c
Manifest
skills/storage/grepai-storage-postgres/SKILL.md
Scanned
1 file, 293 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

The grepai-storage-postgres skill enables AI agents to persist data directly into PostgreSQL databases, allowing for structured storage and retrieval of information during long-running tasks. It bridges the gap between conversational interactions and relational data management by executing SQL commands on behalf of the agent.

When to use it

  • Storing user preferences or session history in a structured format for future reference.
  • Saving extracted entities (like names, dates, or locations) from unstructured text into a database table.
  • Creating temporary logs of API responses or analysis results for later auditing.
  • Updating existing records based on real-time conversation context without manual intervention.

Key capabilities

  • Connects to PostgreSQL instances to perform read and write operations.
  • Executes dynamic SQL queries generated by the AI agent based on natural language prompts.
  • Manages table schemas, including creating new tables or modifying existing structures as needed.
  • Supports transactional integrity for complex data manipulation tasks.

Example prompts

  • "Create a table called 'user_sessions' with columns for user_id, timestamp, and notes, then insert the current session details."
  • "Find all users who signed up last week and update their status to 'active' in the database."
  • "Store the summary of our meeting just now into a new record in the 'meetings' table under today's date."

Tips & gotchas

Ensure your PostgreSQL instance is accessible and credentials are securely configured before attempting any write operations. Be cautious with dynamic SQL generation to prevent injection vulnerabilities when handling untrusted input from users.