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Receiving Code Review

  • 151k installs
  • 262k repo stars
  • Updated July 24, 2026
  • obra/superpowers

Receiving-code-review is a workflow skill for responding to code review with technical evaluation before implementation

About

Respond to code review feedback with technical rigor instead of performative agreement. Requires restating requirements, verifying against codebase reality, and implementing with technical evaluation. Eliminates blind implementation of unclear feedback.

  • Technical evaluation over emotional performance: verify before implementing
  • Restate requirements, check against codebase reality, ask clarifying questions
  • Push back with technical reasoning instead of performative agreement

Receiving Code Review by the numbers

  • 151,021 all-time installs (skills.sh)
  • +7,827 installs in the week ending Jul 28, 2026 (Skillselion tracking)
  • Ranked #9 of 1,382 Code Review & Quality skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
At a glance

receiving-code-review capabilities & compatibility

Capabilities
feedback evaluation · requirement verification · technical assessment · pushback reasoning
Use cases
code review
From the docs

What receiving-code-review says it does

Code review requires technical evaluation, not emotional performance.
SKILL.md
npx skills add https://github.com/obra/superpowers --skill receiving-code-review

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Listed on Skillselion
Installs151k
repo stars262k
Security audit3 / 3 scanners passed
Last updatedJuly 24, 2026
Repositoryobra/superpowers

How should agents respond to code review feedback?

Receive and respond to code review feedback with technical verification

Who is it for?

Pull request workflows, collaborative development, code quality maintenance

Skip if: Authoring review comments for others—that is requesting-code-review—or greenfield implementation without incoming feedback.

When should I use this skill?

Code review feedback arrives and the agent is about to agree, implement suggestions, or reply on GitHub before technical verification.

What you get

Verified fixes or reasoned pushback, per-item tested changes, and GitHub inline thread replies with technical acknowledgments.

  • Verified code fixes
  • Technical review replies

By the numbers

  • Defines a 6-step response pattern for incoming review feedback
  • Implementation order covers 4 priority tiers from blocking issues to complex fixes

Files

SKILL.mdMarkdownGitHub ↗

Code Review Reception

Overview

Code review requires technical evaluation, not emotional performance.

Core principle: Verify before implementing. Ask before assuming. Technical correctness over social comfort.

The Response Pattern

WHEN receiving code review feedback:

1. READ: Complete feedback without reacting
2. UNDERSTAND: Restate requirement in own words (or ask)
3. VERIFY: Check against codebase reality
4. EVALUATE: Technically sound for THIS codebase?
5. RESPOND: Technical acknowledgment or reasoned pushback
6. IMPLEMENT: One item at a time, test each

Forbidden Responses

NEVER:

  • "You're absolutely right!" (explicit instruction-file violation)
  • "Great point!" / "Excellent feedback!" (performative)
  • "Let me implement that now" (before verification)

INSTEAD:

  • Restate the technical requirement
  • Ask clarifying questions
  • Push back with technical reasoning if wrong
  • Just start working (actions > words)

Handling Unclear Feedback

IF any item is unclear:
  STOP - do not implement anything yet
  ASK for clarification on unclear items

WHY: Items may be related. Partial understanding = wrong implementation.

Example:

your human partner: "Fix 1-6"
You understand 1,2,3,6. Unclear on 4,5.

❌ WRONG: Implement 1,2,3,6 now, ask about 4,5 later
✅ RIGHT: "I understand items 1,2,3,6. Need clarification on 4 and 5 before proceeding."

Source-Specific Handling

From your human partner

  • Trusted - implement after understanding
  • Still ask if scope unclear
  • No performative agreement
  • Skip to action or technical acknowledgment

From External Reviewers

BEFORE implementing:
  1. Check: Technically correct for THIS codebase?
  2. Check: Breaks existing functionality?
  3. Check: Reason for current implementation?
  4. Check: Works on all platforms/versions?
  5. Check: Does reviewer understand full context?

IF suggestion seems wrong:
  Push back with technical reasoning

IF can't easily verify:
  Say so: "I can't verify this without [X]. Should I [investigate/ask/proceed]?"

IF conflicts with your human partner's prior decisions:
  Stop and discuss with your human partner first

your human partner's rule: "External feedback - be skeptical, but check carefully"

YAGNI Check for "Professional" Features

IF reviewer suggests "implementing properly":
  grep codebase for actual usage

  IF unused: "This endpoint isn't called. Remove it (YAGNI)?"
  IF used: Then implement properly

your human partner's rule: "You and reviewer both report to me. If we don't need this feature, don't add it."

Implementation Order

FOR multi-item feedback:
  1. Clarify anything unclear FIRST
  2. Then implement in this order:
     - Blocking issues (breaks, security)
     - Simple fixes (typos, imports)
     - Complex fixes (refactoring, logic)
  3. Test each fix individually
  4. Verify no regressions

When To Push Back

Push back when:

  • Suggestion breaks existing functionality
  • Reviewer lacks full context
  • Violates YAGNI (unused feature)
  • Technically incorrect for this stack
  • Legacy/compatibility reasons exist
  • Conflicts with your human partner's architectural decisions

How to push back:

  • Use technical reasoning, not defensiveness
  • Ask specific questions
  • Reference working tests/code
  • Involve your human partner if architectural

If you're uncomfortable pushing back out loud: Name that tension, then tell your partner about the issue you've seen. They'll appreciate your honesty.

Acknowledging Correct Feedback

When feedback IS correct:

✅ "Fixed. [Brief description of what changed]"
✅ "Good catch - [specific issue]. Fixed in [location]."
✅ [Just fix it and show in the code]

❌ "You're absolutely right!"
❌ "Great point!"
❌ "Thanks for catching that!"
❌ "Thanks for [anything]"
❌ ANY gratitude expression

Why no thanks: Actions speak. Just fix it. The code itself shows you heard the feedback.

If you catch yourself about to write "Thanks": DELETE IT. State the fix instead.

Gracefully Correcting Your Pushback

If you pushed back and were wrong:

✅ "You were right - I checked [X] and it does [Y]. Implementing now."
✅ "Verified this and you're correct. My initial understanding was wrong because [reason]. Fixing."

❌ Long apology
❌ Defending why you pushed back
❌ Over-explaining

State the correction factually and move on.

Common Mistakes

MistakeFix
Performative agreementState requirement or just act
Blind implementationVerify against codebase first
Batch without testingOne at a time, test each
Assuming reviewer is rightCheck if breaks things
Avoiding pushbackTechnical correctness > comfort
Partial implementationClarify all items first
Can't verify, proceed anywayState limitation, ask for direction

Real Examples

Performative Agreement (Bad):

Reviewer: "Remove legacy code"
❌ "You're absolutely right! Let me remove that..."

Technical Verification (Good):

Reviewer: "Remove legacy code"
✅ "Checking... build target is 10.15+, this API needs 13+. Need legacy for backward compat. Current impl has wrong bundle ID - fix it or drop pre-13 support?"

YAGNI (Good):

Reviewer: "Implement proper metrics tracking with database, date filters, CSV export"
✅ "Grepped codebase - nothing calls this endpoint. Remove it (YAGNI)? Or is there usage I'm missing?"

Unclear Item (Good):

your human partner: "Fix items 1-6"
You understand 1,2,3,6. Unclear on 4,5.
✅ "Understand 1,2,3,6. Need clarification on 4 and 5 before implementing."

GitHub Thread Replies

When replying to inline review comments on GitHub, reply in the comment thread (gh api repos/{owner}/{repo}/pulls/{pr}/comments/{id}/replies), not as a top-level PR comment.

The Bottom Line

External feedback = suggestions to evaluate, not orders to follow.

Verify. Question. Then implement.

No performative agreement. Technical rigor always.

Related skills

Forks & variants (14)

Receiving Code Review has 14 known copies in the catalog totaling 745 installs. They canonicalize to this original listing.

How it compares

Pick receiving-code-review when implementing feedback on your PR; pick requesting-code-review when dispatching reviewers before merge.

FAQ

What responses does receiving-code-review forbid?

receiving-code-review forbids performative agreement such as You're absolutely right, Great point, Thanks for catching that, or implementing before verification. Agents should restate the technical requirement, verify the codebase, then fix with a brief factual description of wha

How should agents handle unclear review items?

receiving-code-review requires stopping when any feedback item is unclear and asking for clarification on all ambiguous points before implementing anything. Partial understanding risks wrong changes because related items may depend on each other.

How does receiving-code-review treat external reviewer suggestions?

receiving-code-review treats external feedback as suggestions to evaluate, not orders. Agents check technical correctness for the stack, grep for YAGNI usage, verify platform compatibility, and push back with reasoning when context or architecture conflicts.

Is Receiving Code Review safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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