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Java Python Code Reviewer

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yennanliu·vlatest·backend

Helps with Java, Python as part of developing backend services and APIs workflows.

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This skill no longer installs under the name java-python-code-reviewer. yennanliu/cs_basics has no skill named "java-python-code-reviewer" any more. It was renamed, moved or deleted upstream.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

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What we know about this skill

Publisher

yennanliu

Taken from the source listing. We haven't verified who controls this account.

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Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

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scanned

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Not scanned. none of the 15 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as yennanliu/cs_basics.
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.
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About this skill

The java-python-code-reviewer skill enables AI agents to analyze Java and Python codebases for security vulnerabilities, performance bottlenecks, and architectural inconsistencies. It specifically targets common issues like SQL injection risks, inefficient database queries, and improper resource management across both languages.

When to use it

  • Before merging pull requests containing backend logic written in Java or Python.
  • During the initial setup of a new microservice architecture to establish secure coding standards.
  • When auditing legacy codebases for deprecated libraries or known CVEs.
  • To automate routine checks for memory leaks and thread safety issues in long-running services.

Key capabilities

  • Identifies SQL injection vulnerabilities in database interaction layers.
  • Detects inefficient N+1 query patterns in ORM usage.
  • Flags improper exception handling that could lead to information leakage.
  • Highlights resource leaks such as unclosed connections or streams.
  • Suggests refactoring for better separation of concerns and modularity.

Example prompts

  • "Review this Java service module for potential SQL injection risks and suggest fixes."
  • "Analyze the following Python API handler for performance bottlenecks and memory leaks."
  • "Audit this backend codebase for deprecated libraries and insecure configurations."

Tips & gotchas

Ensure your codebase includes proper dependency management files (pom.xml or requirements.txt) so the agent can verify library versions against known vulnerabilities. For best results, provide context about the specific security standards or performance metrics your team prioritizes.