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Code review

Skill Muvon/octomind-tap/skills/code-review

Octomind Agents Registry

Install
npx -y skills add Muvon/octomind-tap --skill code-review

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Code review checklist and guidelines for giving and receiving constructive feedback on pull requests. Activate when reviewing a PR, preparing code for review, or establishing review standards.

The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

3.8 KB, as published. Nobody here has run it

Overview

This skill provides a structured approach to code review: what to check, how to communicate feedback, and how to receive it. Activate it when reviewing a PR, preparing your own code for review, or establishing review norms for a team.

Instructions

Reviewer Checklist

Correctness

  • Does the code do what the PR description says?
  • Are edge cases handled (empty input, null, overflow, concurrent access)?
  • Are error paths handled and errors propagated correctly?
  • Are there any obvious logic bugs or off-by-one errors?

Design

  • Is the change the right approach, or is there a simpler solution?
  • Does it follow existing patterns in the codebase?
  • Is the scope appropriate — does it do one thing?
  • Are new abstractions justified, or is this over-engineering?

Readability

  • Are names clear and intention-revealing?
  • Is complex logic explained with comments (the why, not the what)?
  • Is the code easy to follow without needing to trace through many files?

Tests

  • Are new behaviors covered by tests?
  • Do tests test behavior, not implementation details?
  • Are failure cases tested, not just the happy path?

Security

  • Is user input validated and sanitized?
  • Are secrets/credentials handled safely (not logged, not hardcoded)?
  • Are permissions/authorization checks in place?

Performance

  • Are there any obvious N+1 queries or unnecessary allocations in hot paths?
  • Is caching used appropriately?

Giving Feedback

Be specific: Point to the exact line and explain the concern.

Distinguish severity:

  • nit: — minor style preference, take it or leave it
  • suggestion: — improvement worth considering
  • question: — genuinely unclear, needs explanation
  • issue: — must be addressed before merge
  • blocker: — serious correctness or security problem

Be constructive: Suggest an alternative, don't just say "this is wrong."

Praise good work: Acknowledge clever solutions or clean refactors.

Receiving Feedback

  • Don't take it personally — the review is about the code, not you
  • Ask for clarification if a comment is unclear
  • Respond to every comment (resolve, fix, or explain why you disagree)
  • If you disagree, explain your reasoning — the reviewer may have missed context

PR Size Guidelines

  • Ideal: < 400 lines changed
  • Acceptable: 400–800 lines (with good description)
  • Needs splitting: > 800 lines — break into smaller PRs

Large PRs get shallow reviews. Smaller PRs get better feedback faster.

Examples

Good feedback comment

issue: This function panics on empty input (line 42). The `unwrap()` on
`items.first()` will crash if the slice is empty. Consider returning
`Option<T>` or checking `items.is_empty()` first.

Bad feedback comment → fix it

# Bad
This is wrong.
Why did you do it this way?

# Good
suggestion: Using a HashMap here would reduce lookup from O(n) to O(1).
Since this runs on every request, it may be worth the extra memory.

PR description template

## What
Brief description of the change.

## Why
The problem this solves or the feature this adds.

## How
Key implementation decisions and trade-offs.

## Testing
How you verified this works.

References

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.