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Tech Stack Evaluator

Checked
borghei·vlatest·other

This tool analyzes your project’s codebase to suggest a more efficient and modern tech stack based on its needs & best practices.

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 borghei/claude-skills --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

borghei

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 borghei/claude-skills at 4a698e8d07.

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

Commit
4a698e8d07
Manifest
engineering/tech-stack-evaluator/SKILL.md
Scanned
17 files, 4,948 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

tech-stack-evaluator

What it does

This skill enables AI agents to analyze and evaluate technology stacks for specific projects. It helps determine if a chosen set of tools, languages, and frameworks aligns with project requirements and best practices.

When to use it

  • Assessing the suitability of a proposed architecture before development begins.
  • Identifying potential gaps or conflicts within a selected software ecosystem.
  • Validating that a tech stack meets scalability and security standards.
  • Comparing alternative stacks to recommend the most efficient option for a given use case.

Key capabilities

  • Analyzes compatibility between different technologies in a stack.
  • Evaluates alignment with project-specific constraints and goals.
  • Provides feedback on the robustness of the selected toolset.
  • Assists in making informed decisions regarding technology choices.

Example prompts

  • "Evaluate this tech stack for building a real-time data dashboard: React, Node.js, PostgreSQL, and Redis."
  • "Analyze if Python, Django, and AWS Lambda are suitable for a high-throughput microservices architecture."
  • "Review the compatibility of using TypeScript with Next.js and GraphQL in a new e-commerce platform project."

Tips & gotchas

Ensure you provide detailed context about your project's scale, performance needs, and specific constraints to get the most accurate evaluation. This skill focuses on architectural fit rather than generating code or configuring environments directly.