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Review Scoring

Checked
mgd34msu·vlatest·other·MIT

Automatically assigns numerical scores to text reviews based on sentiment, content, and specified criteria.

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 mgd34msu/goodvibes-plugin --skill review-scoring -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

mgd34msu

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 mgd34msu/goodvibes-plugin at d19fa3c57e.

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

Commit
d19fa3c57e
Manifest
plugins/goodvibes/skills/review-scoring/SKILL.md
Scanned
1 file, 58 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

review-scoring

What it does

This skill enables AI agents to evaluate and assign scores to reviews, helping to quantify user feedback. It processes text inputs to determine sentiment or quality metrics based on specific criteria defined by the agent's configuration.

When to use it

  • Analyzing customer feedback from e-commerce platforms to identify top-rated products.
  • Grading student essays or project submissions in an educational setting.
  • Evaluating code pull requests or design mockups for quality assurance.
  • Automating moderation workflows for community-generated content on forums.

Key capabilities

  • Assigns numerical scores to textual reviews based on predefined rules.
  • Processes natural language inputs to extract relevant evaluation data.
  • Integrates with the Good Vibes plugin ecosystem for extended functionality.

Example prompts

  • "Score this customer review: 'The product arrived late but works great.'"
  • "Evaluate these three essays and provide a score out of 10 for each."
  • "Run a review-scoring analysis on this batch of user feedback to find outliers."

Tips & gotchas

Ensure your AI agent has clear guidelines or rubrics defined before relying on automated scoring, as subjective content may yield inconsistent results. This skill is part of the goodvibes-plugin suite; verify compatibility with your current agent framework before installation.