agentleFS
andreymudriandreymudri/claude-teammates/skills/receiving-code-review/SKILL.md

receiving-code-review

Skill3 starsChanged 10 days agoMITView on GitHub

Use when receiving code review feedback, before implementing suggestions - requires technical verification rather than performative agreement or blind implementation.

187 other projects use a version of this, 146 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use chinese-code-review, chinese-commit-conventions and 8 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • Leodorareluctant259Skill

    chinese-code-review

    中文代码审查规范——在保持专业严谨的同时,用符合国内团队文化的方式给出有效反馈

    Also in 8 projects that use this

  • Leodorareluctant259Skill

    chinese-commit-conventions

    中文 Git 提交规范 — 适配国内团队的 commit message 规范和 changelog 自动化

    Also in 8 projects that use this

  • obraSkill

    diagnosing-superpowers

    Use when a superpowers session went wrong and your human partner wants to know why — repeated work, ignored plans, stumbles, poor results, a skill that didn't fire, "it took too long", "why is it so expensive", "what is it doing" — or wants to build a bug report for the superpowers maintainers, for the current session or a past one identified by id or path, on any harness.

    Also in 20 projects that use this

  • OpenAISkill

    requesting-code-review

    Use when completing tasks, implementing major features, or before merging to verify work meets requirements

    Also in 200 projects that use this

  • OpenAISkill

    dispatching-parallel-agents

    Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

    Also in 154 projects that use this

  • +3 more from Leodorareluctant259
  • +2 more from openai

The file

We split this skill into the rules it gives an agent

5 rules. 1 is common, 3 are distinctive, and 1 is very specific to this project.

  • 1

    Common

    Most of the 178 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Core principle: verify every finding against the actual code before implementing it.

    line 14
  2. Distinctive:

    Verify it, then say what you found

    line 53
  3. Very specific:

    If it reproduces, the finding stands.

    line 76
  4. Common:

    Ask if scope is unclear

    line 105
  5. Distinctive:

    No performative agreement.

    line 106

“Common” is measured: kept by at least 6 in 10 of the 178 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Receiving Code Review

Adapted from the MIT-licensed superpowers plugin by Jesse Vincent. See NOTICE.md.

Overview

Code review requires technical evaluation, not emotional performance.

Core principle: verify every finding against the actual code before implementing it. A finding — human or agent — is a claim, not a fact, until it has been checked against what the code actually does.

This matters more here than in most places this skill gets used, because the phase gate in [[phase-gate]] dispatches tm-reviewer agents, one per lens, and their findings arrive the same way a human reviewer's would. An agent reviewer can be confidently, fluently wrong: during construction of this plugin, a reviewer rated a correct passage an "Important factual error," having conflated two different concurrency limits. Implementing that finding as written would have introduced a defect. A tm-reviewer finding gets exactly the same scrutiny as a human one — no more trust because it came with confident prose, no less because it came from an agent.

The Response Pattern

WHEN receiving a review finding (from a human or from tm-reviewer):

1. READ: the complete finding without reacting
2. UNDERSTAND: restate the claim in your own words (or ask)
3. VERIFY: check the claim against the actual code
4. EVALUATE: is it technically correct for this codebase?
5. RESPOND: technical acknowledgment, evidence-backed pushback, or a fix
6. IMPLEMENT: one item at a time, test each

Verification is not optional and not skippable for findings that "sound right." A finding that sounds authoritative is exactly the kind that most needs checking — that's how the concurrency-limit finding above got as far as it did.

Forbidden Responses

NEVER:

  • "Great catch!" / "You're absolutely right!" / "Excellent feedback!" — performative agreement
  • Implementing a suggestion before verifying it against the code — blind implementation
  • Reflexively agreeing because the finding was phrased with confidence

INSTEAD:

  • Restate the technical claim
  • Verify it, then say what you found
  • Push back with evidence if it's wrong
  • Just fix it, and let the diff speak, if it's right

When a Finding Turns Out to Be Wrong

A finding that cannot be verified — or that verification actively contradicts — is neither silently dropped nor implemented anyway to avoid friction. It is answered with evidence:

IF a finding cannot be reproduced:
  Say so explicitly, and say what you ran to try.

IF a finding is incorrect:
  State what the code actually does, and how you checked.

NEVER:
  - Implement a change you've verified is wrong, just to avoid a disagreement
  - Silently ignore a finding without recording why it was dismissed

Disagreement is resolved by attempting to reproduce the claimed failure. Run the test, read the referenced line, execute the code path — whatever the finding claims is broken. If it reproduces, the finding stands; fix it. If it doesn't, say so with what was run: "Ran <command>, got <actual result> — the claimed failure doesn't reproduce," not a bare "that's wrong."

Gracefully Correcting Your Own Pushback

This is the mirror case: you pushed back on a finding, and evidence now shows the reviewer was right. Having publicly committed to a position, the pull is to double down — defend it, hunt for a reading that keeps you right — or to quietly implement the fix without acknowledging you reversed. Both erode trust in your next pushback: the reviewer can no longer tell whether your disagreement means anything.

State plainly that you were wrong and what changed your mind, then implement the finding:

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

❌ Long apology
❌ Defending why you pushed back in the first place
❌ Implementing the fix silently, without saying the pushback was wrong

State the correction factually and move on — no extended apology, no re-litigating.

Source-Specific Handling

From a human reviewer

  • Trusted, but still verified — trust affects tone, not whether you check
  • Ask if scope is unclear
  • No performative agreement; skip to verification and action

From tm-reviewer

BEFORE implementing a tm-reviewer finding:
  1. Locate the exact code the finding refers to
  2. Check: does the code actually do what the finding claims?
  3. Check: would the suggested change break something else?
  4. Check: is there a reason the current code is the way it is?

IF the finding doesn't hold up under inspection:
  Answer with evidence — do not implement it, and do not drop it silently

An agent reviewer can produce a finding that reads as confident and specific while being factually wrong. Fluency is not evidence. The only thing that settles a disagreement is checking the actual code or reproducing the actual failure.

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

Acknowledging Correct Feedback

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

❌ "You're absolutely right!"
❌ "Great catch!"
❌ "Thanks for catching that!"
❌ ANY gratitude expression or performative agreement

Actions speak. State the fix, not the enthusiasm.

Common Mistakes

MistakeFix
Performative agreementState the verified finding or just act
Blind implementationVerify against the actual code first
Trusting tm-reviewer more/less than a humanSame scrutiny for both
Implementing a finding you know is wrong, to avoid frictionAnswer with evidence instead
Silently dropping a finding you disagree withRecord why, with what you checked
Can't reproduce, implement anywaySay so, with what was run
Batch without testingOne at a time, test each

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