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Tech Stack Evaluator

Checked
chaorenex1·vlatest·other·MIT

This skill analyzes a project's code and dependencies to assess its tech stack, offering insights for optimization and modernization.

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 chaorenex1/coding-workflow --skill tech-stack-evaluator -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

chaorenex1

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

    Only contacts known or declared hosts: api.anthropic.com.

    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.

    Hosts contacted

    api.anthropic.commodel provider

  • 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 chaorenex1/coding-workflow at ec55ca2e74.

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

Commit
ec55ca2e74
Manifest
skills/tech-stack-evaluator/SKILL.md
Scanned
14 files, 4,773 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 chaorenex1-tech-stack-evaluator skill analyzes a provided technology stack and generates a report outlining its strengths, weaknesses, potential risks, and suitability for a given project. It can assess the technical feasibility of a proposed architecture based on factors like maintainability, scalability, and security. The tool also provides recommendations for alternative technologies or improvements to the existing stack.

When to use it

  • Project Planning: Evaluate if a planned tech stack aligns with project requirements and potential future needs.
  • Technology Selection: Compare different technology options for a specific task or component within a larger system.
  • Architecture Review: Get an independent assessment of an existing architecture's strengths, weaknesses, and risks.
  • Due Diligence: Quickly understand the technical implications of adopting a new technology or framework.

Key capabilities

  • Technology Stack Analysis
  • Risk Assessment
  • Suitability Evaluation
  • Recommendation Generation
  • Report Creation

Example prompts

  • "Evaluate this tech stack: React, Node.js, PostgreSQL for an e-commerce platform."
  • "Assess the risks of using a microservices architecture with Python and Kubernetes."
  • "Can you suggest alternatives to Angular for building a complex web application?"

Tips & gotchas

The quality of the evaluation depends heavily on the accuracy and completeness of the provided technology stack details. Be as specific as possible when describing the technologies being used, including versions where relevant.