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review-loop Skill

AI Agent SkillPythonOpen source

Iterative review loop with subagent reviewer. Use when: reviewing code changes, reviewing plans, auditing implementations, validating fixes, running code review, performing quality checks, or when /review is invoked. Spawns a fresh subagent to review a user-specified target, reports severity-tagged findings, applies ap Published by microsoft in bocpy.

What is review-loop Skill?

Iterative review loop with subagent reviewer. Use when: reviewing code changes, reviewing plans, auditing implementations, validating fixes, running code review, performing quality checks, or when /review is invoked. Spawns a fresh subagent to review a user-specified target, reports severity-tagged findings, applies ap Published by microsoft in bocpy. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
55/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Security review
  • Data analysis
  • Design and media
  • Security review use cases
  • Data analysis use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use review-loop Skill

  • Use it for security review.
  • Use it for data analysis.
  • Use it for design and media.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/bocpy
  • Skill file: .github/skills/review-loop/SKILL.md

What it does

Iterative review loop with subagent reviewer. Use when: reviewing code changes, reviewing plans, auditing implementations, validating fixes, running code review, performing quality checks, or when /review is invoked. Spawns a fresh subagent to review a user-specified target, reports severity-tagged findings, applies ap

Skill instructions

Review Loop Iteratively review a target (code or plan) using a fresh subagent reviewer, present findings, apply fixes, and repeat until the user approves. When to Use - After implementing a non-trivial change - Validating a plan before execution - Auditing code for correctness, style, or security issues - Any time you want an independent second opinion on work in progress Severity Levels Findings are tagged with one of four severities: | Severity | Meaning | |----------|---------| | critical | Correctness bug, security vulnerability, or data loss risk. Must fix. | | high | Likely bug, race condition, or significant design flaw. Should fix. | | medium | Code smell, unclear logic, missing edge case, or maintainability concern. Recommended fix. | | low | Style nit, naming suggestion, minor improvement. Fix at discretion. | Procedure 1. Identify the Review Target Ask the user what to review if not already specified. The target can be: - One or more source files (by path) - A plan (in sessi

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Frequently asked questions

What is review-loop?

review-loop is a open-source AI agent skill with Copy skill directory. Iterative review loop with subagent reviewer. Use when: reviewing code changes, reviewing plans, auditing implementations, validating fixes, running code review, performing quality checks, or when /review is.

Who is review-loop best for?

review-loop is best for reusing agent instructions, scripts, and references, security review workflows, data analysis workflows, design and media workflows.

How do I install review-loop?

Install or run review-loop using Copy skill directory. Check review-loop for the latest setup command.

Is review-loop actively maintained?

review-loop may need a closer maintenance check before production use.

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168
Forks
8
Last commit
9 days ago
Repository age
5 months
License
MIT

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