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Software Evaluation

Checked
ymd38·vlatest·other·MIT

This skill analyzes software descriptions to assess features, pricing, and suitability for your needs, saving you time researching options.

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 northraystudio/maruda --skill software-evaluation -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

ymd38

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 ymd38/dev-skills at 99dd7981e7.

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

Commit
99dd7981e7
Manifest
skills/software-evaluation/SKILL.md
Scanned
1 file, 359 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 allows an AI agent to evaluate software based on provided criteria. It can analyze features, identify potential issues, and compare different options. The evaluation process aims to provide a structured assessment suitable for decision-making regarding software selection or improvement.

When to use it

  • Software Selection: When choosing between multiple software solutions for a specific business need.
  • Feature Prioritization: To assess the value of proposed features for an existing software product.
  • Risk Assessment: Evaluate potential security vulnerabilities and compliance issues within a piece of software.
  • Competitive Analysis: Compare a software product against its competitors based on defined metrics.

Key capabilities

  • Criteria-based evaluation
  • Feature analysis
  • Issue identification
  • Comparative assessment

Example prompts

  • "Evaluate these three project management tools: Asana, Trello, and Jira, focusing on ease of use and integration with Slack."
  • "Assess the security risks associated with using open-source library 'XYZ'."
  • "Compare the performance of software A versus software B for image processing tasks."

Tips & gotchas

The quality of the evaluation depends heavily on the clarity and specificity of the criteria provided. Vague or incomplete requirements will lead to less useful results.