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Grepai Storage Gob

Checked
yoanbernabeu·vlatest·other·MIT

Efficiently archives and retrieves data from cloud storage using optimized strategies and automated organization.

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-gob -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-gob/SKILL.md
Scanned
1 file, 239 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 enables AI agents to store and retrieve data using Go-based object storage systems, providing a reliable backend for persistent agent memory. It allows agents to save context, logs, or artifacts directly to scalable storage infrastructure without manual intervention.

When to use it

  • Persistent Context: You need an agent to remember information across multiple conversation sessions or long-running tasks.
  • Artifact Management: The agent must save generated files, code snippets, or data exports for later retrieval by the user or other agents.
  • Scalable Storage: Your workflow requires storing large volumes of unstructured data that standard in-memory variables cannot handle.
  • Cross-Session Continuity: You are building multi-step workflows where intermediate results must be preserved between different agent executions.

Key capabilities

  • Direct integration with Go-compatible object storage backends.
  • Automated save and load operations for agent state.
  • Support for structured data serialization compatible with Go ecosystems.
  • Reliable persistence layer for long-term agent memory.

Example prompts

  • "Save the current analysis report to storage so I can review it later."
  • "Load the project configuration from your storage and continue working on the task."
  • "Archive these conversation logs to our object store before ending the session."

Tips & gotchas

Ensure your AI agent has write permissions configured for the specific storage bucket or path before attempting to save data. Verify that the data format being stored is compatible with Go's serialization standards to prevent retrieval errors.