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Receiving Code Review

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zenobi-us·vlatest·backend·MIT

Automates code review feedback generation based on established Zenobi-US coding standards for efficient testing workflows.

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This skill no longer installs under the name receiving-code-review. zenobi-us/dotfiles no longer contains any SKILL.md.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-29. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

zenobi-us

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

Install target

Live repository

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

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Automated safety checks

scanned

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Not scanned. none of the 251 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as zenobi-us/dotfiles.
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 receiving-code-review skill enables AI agents to accept and process code review feedback, allowing them to update their implementations based on reviewer suggestions. It facilitates a collaborative workflow where agents can integrate human or automated critique directly into their development cycle without manual intervention.

When to use it

  • An agent finishes a feature implementation and needs to incorporate specific stylistic or logical corrections from a senior developer.
  • Automated testing pipelines fail, requiring the agent to analyze error logs and apply suggested fixes to the source code.
  • A team wants to simulate peer review processes where an AI agent iterates on code until it meets defined quality standards.

Key capabilities

  • Accepts incoming code review comments and suggestions.
  • Updates local codebase state based on review feedback.
  • Handles iterative refinement loops for software development tasks.

Example prompts

  • "I have completed the login module; please run a code review and apply any necessary fixes to improve security."
  • "Here is the latest version of the API handler; analyze it against our style guide and update the code if issues are found."
  • "Review this function for potential race conditions and modify the implementation to address the identified bugs."

Tips & gotchas

Ensure the AI agent has read/write access to the repository or file system where the code review feedback is applied. This skill is most effective when paired with a separate code generation or analysis skill that provides the initial critique.