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code-review-and-quality

Open source alternatives to code-review-and-quality

24 open source AI Skills apps to use instead, best rated first.

Top picks

  1. G

    github-ops

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    github-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify

    Open source

  2. O

    opensource-pipeline

    Launch

    opensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st

    Open source

  3. A

    andrej-karpathy-skills

    Launch

    andrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis

    Open source

  4. M

    microsoft/markitdown

    Launch

    markitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve

    Open source

  5. O

    od-contribute

    Launch

    od-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the

    Open source

  6. G

    github-deep-research

    Launch

    github-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive

    Open source

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About code-review-and-quality

C

code-review-and-quality

Conducts multi-axis code review

code-review-and-quality is an agent skill from Addy Osmani's agent-skills collection for multi-axis code review before a change is merged. It applies to code written by the reviewer, by another agent or by a human, and it covers reviews after a feature is implemented, after a bug fix (checking both the fix and its regression test), when refactoring, and when another model produced code that needs evaluating. Every review covers five axes: correctness, readability, architecture, security and performance. The skill sets an approval standard: approve a change when it definitely improves the overall health of the code, even if it is not perfect, because perfect code does not exist and the goal is continuous improvement. A change should not be blocked just because the reviewer would have written it differently. If it improves the codebase and follows the project's conventions, it should be approved. The skill is listed on skills.sh, with its security audit results shown on that page. It suits teams that want a consistent, standards-based review of every change, including those produced by agents.

View code-review-and-qualityAll AI Skills apps
Price
Free
Made by
addyosmani
Category
AI Skills
Website
github.com/addyosmani/agent-skills/code-review-and-quality