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github-code-review

Open source alternatives to github-code-review

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

Top picks

  1. G

    github-ops

    Launch

    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 github-code-review

G

github-code-review

Comprehensive GitHub code review with AI-powered swarm coordination

github-code-review is an agent skill from the ruflo project for reviewing GitHub pull requests with a team of review agents. It describes deploying specialized reviewers that go beyond traditional static analysis to give a more thorough and intelligent review of a change, with the agents coordinated as a swarm. The quick start shows the flow: the assistant reads a pull request's files and diff with the GitHub CLI, starts a review swarm for that pull request using the ruv-swarm command, and posts a status comment on the pull request to say the multi-agent review has begun. The skill is for maintainers and reviewers who want a second, automated pass over a change before a person reads it, or who want a consistent review on busy repositories. The review agents work from the diff they are given, so the quality of the review depends on the context they receive and on the review checks that the team relies on. Before the review comments are posted to a pull request, read them, because a review that is wrong in public can mislead a contributor. The skill shows warnings from Gen Agent Trust Hub, Socket and Snyk on skills.sh, and it has about 1,300 installs. Install it with npx skills add https://github.com/ruvnet/ruflo --skill github-code-review.

View github-code-reviewAll AI Skills apps
Price
Free
Made by
ruvnet
Category
AI Skills
Website
github.com/ruvnet/ruflo/github-code-review