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Score Analyzer

Checked
gonglingrui·vlatest·other·MIT

Analyzes scores to identify trends & patterns, providing valuable insights for performance evaluation and strategic decision-making.

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 vangong1999/screen-creative-skills --skill score-analyzer -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

gonglingrui

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 gonglingrui/screen-creative-skills at 6ced54f40c.

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

Commit
6ced54f40c
Manifest
category/novel-screening/score-analyzer/SKILL.md
Scanned
4 files, 570 lines
Copies in repo
2 — all of them scanned
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 gonglingrui-score-analyzer skill analyzes scores provided as input, likely from assessments or evaluations. It can process these scores and provide insights based on the data. The specific nature of those insights isn't detailed in the source content, but implies some form of analysis beyond simple display.

When to use it

  • Evaluating student performance on a quiz or exam.
  • Assessing the quality of creative work submissions (e.g., writing samples).
  • Analyzing results from user surveys or feedback forms that include numerical scores.
  • Calculating and interpreting metrics for a game or competition.

Key capabilities

  • Score processing
  • Analysis of score data
  • Insight generation (based on score analysis)

Example prompts

  • "Analyze these quiz scores: 85, 92, 78, 95, 88."
  • "What's the average score from this feedback form: 4, 3, 5, 2, 4?"
  • "Can you analyze these creative writing scores and tell me what trends I should observe?"

Tips & gotchas

The skill requires numerical data as input; it cannot process text-based evaluations directly. The type of analysis performed is dependent on the underlying implementation which isn't described in the source content.