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Gemini Review

Checked
alinaqi·vlatest·ai-ml·MIT

Analyzes text content using Gemini models to provide detailed feedback on clarity, style, and potential improvements.

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 alinaqi/maggy --skill gemini-review -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

alinaqi

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 alinaqi/claude-bootstrap at 72a456e6cc.

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

Scanned
1 file, 418 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 gemini-review skill enables AI agents to interact with Google's Gemini model for reviewing and analyzing content. It facilitates tasks like summarizing long documents, checking code quality, or validating data against specific criteria using Gemini’s reasoning capabilities.

When to use it

  • You need an external LLM to audit generated code before deployment.
  • You want to summarize lengthy research papers or reports into actionable insights.
  • You require a second opinion on creative writing drafts for tone and clarity.
  • You are building a workflow that needs cross-validation of facts using Gemini’s knowledge base.

Key capabilities

  • Integrates directly with the Gemini API for real-time analysis.
  • Supports multi-turn conversations for iterative review processes.
  • Handles various input formats including text, code snippets, and structured data.
  • Provides detailed feedback on logic errors, style inconsistencies, and factual inaccuracies.

Example prompts

  • "Review this Python function for potential security vulnerabilities and suggest improvements."
  • "Summarize the key findings from this 50-page market research report in bullet points."
  • "Act as a senior editor and critique this blog post draft for clarity and engagement."

Tips & gotchas

Ensure you have a valid API key configured for Google Gemini before activating the skill, as it relies on external model access. Be mindful of input length limits when submitting large documents for review to avoid truncation or errors.