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Architecture Review

Checked
decebals·vlatest·backend·MIT

Analyzes software architecture diagrams for potential risks, inefficiencies, and adherence to 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 decebals/claude-code-java --skill architecture-review -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

decebals

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 decebals/claude-code-java at 0d98fe9bd6.

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

Commit
0d98fe9bd6
Manifest
skills/architecture-review/SKILL.md
Scanned
2 files, 373 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 provides architecture review capabilities, analyzing software designs and identifying potential issues. It can assess architectural patterns, evaluate compliance with best practices, and suggest improvements for scalability, maintainability, and security. The tool aims to offer constructive feedback on existing or proposed system architectures.

When to use it

  • Review a new feature's design before implementation begins.
  • Assess the architecture of an existing application for potential refactoring opportunities.
  • Evaluate if a proposed architectural pattern is appropriate for a given problem domain.
  • Ensure adherence to established architectural guidelines and standards within a project.

Key capabilities

  • Architecture analysis
  • Pattern evaluation
  • Best practices compliance assessment
  • Scalability recommendations
  • Maintainability suggestions
  • Security review

Example prompts

  • "Review the architecture for this e-commerce platform, focusing on its scalability."
  • "Analyze this microservices design and identify potential points of failure."
  • "Assess whether a hexagonal architecture is appropriate for this data processing pipeline."

Tips & gotchas

The quality of the review depends heavily on the clarity and completeness of the architectural documentation provided. Providing diagrams, specifications, or existing code snippets will improve the accuracy and usefulness of the feedback.