Open source alternatives to review-loop
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G

github-ops
Getgithub-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
- O

opensource-pipeline
Getopensource-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
- A

andrej-karpathy-skills
Getandrej-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
- M

microsoft/markitdown
Getmarkitdown-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
- O

od-contribute
Getod-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
- G

github-deep-research
Getgithub-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 review-loop

review-loop
Iterative worker-reviewer cycle
review-loop is an agent skill that runs an iterative worker and reviewer cycle inside a single session. The agent does the work, spawns a reviewer subagent that critiques it and scores it from 1 to 10 with actionable feedback, then revises the work based on that feedback, and repeats until a quality gate is met. Its core principle is that first drafts are never final, and that repeated critique tends to produce better output than a single pass. The skill works best with agents that can spawn subagents. Where that is not available, it describes a way to simulate the reviewer step by opening a fresh chat context and pasting in only the work to be reviewed. It is useful for drafts that matter, such as documents, code or designs, where a second, independent look is worth the extra cycle. The skill is listed on skills.sh under the 2dmurali review-loop-skill repository and is free.
- Price
- Free
- Made by
- 2dmurali
- Category
- AI Skills
- Website
- github.com/2dmurali/review-loop-skill/review-loop










