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    PR Review Defense

    1

    Your AI agent checks the code before it agrees with a review comment on your pull request.

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    PR Review Defense

    PR Review Defense

    Example session with this skill installed

    Help me answer the review comments on PR 349. The reviewer says three things: the time limit is hard-coded, line 31 has no test, and line 52 could be slow.

    • Read your context and instructions
    • Compiled the pr review defense

    This is a sample pull request. The commands and the output are real.

    Summary

    There were three open comments. The agent agreed with one, disagreed with one, and asked a question about one. It changed code for one comment only. It did not post anything.

    First try: the script stopped the agent

    The first draft agreed with every comment and gave no proof. The script found five problems:

    $ python3 pr_review.py check 349 --verdicts bad.json
    evidence bar FAILED — 5 problem(s):
    
      ✗ comment 101: no citable evidence — needs a file:line, a test/tool invocation, or a CLAUDE.md rule, not prose
      ✗ comment 101: CONCEDE needs `repro` — how the reviewer is right. A failing test or traceback when you can get one; otherwise the mechanism spelled out concretely (inputs or interleaving -> wrong result), or the rule it breaks. Reasoning counts. Deference does not
      ✗ comment 101: CONCEDE needs `refutation_attempted` — what you tried in order to prove the reviewer wrong, and why it failed
      ✗ comment 102: DISPUTE carries a `fix` — you do not change code on a comment you did not concede
      ✗ comment 103 (senior-reviewer, src/alert_throttle.py): no verdict
    

    Second try: with proof from the code

    $ python3 pr_review.py check 349
    evidence bar PASSED — CLARIFY=1, CONCEDE=1, DISPUTE=1
    
    CommentAnswerProofDraft reply
    The time limit is hard-coded (line 47)ConcedeLine 47 has the fixed value 300. The project rules do not allow fixed settings. The agent checked if 300 must never change. It can change, so the rule applies.Agreed, this breaks our config rule. Moving it to settings.
    Line 31 has no testDisputetests/test_alerts.py:56 tests this line. All 21 tests pass.This branch is covered at tests/test_alerts.py:56. Happy to add a case if you had a different input in mind.
    Line 52 could be slowClarifyLine 52 does one dictionary lookup for each alert.Which input size or call pattern are you worried about? Line 52 is one dict lookup per alert, so I want to make sure I test the case you have in mind.
    $ python3 pr_review.py replies 349
    written: .claude/review-context/pr-349.replies.md
    NOT posted. Read it, edit the wording, then run `post`.
    

    Next steps

    1. Fix comment 101 only. Commit the fix.
    2. Read the drafts in .claude/review-context/pr-349.replies.md. Change the words if necessary.
    3. Run python3 pr_review.py post 349 to see what it will post. Then add --yes to post the replies.

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    About this skill

    The problem

    A reviewer leaves a comment on your pull request. The comment sounds correct, so your AI agent agrees and changes the code. But the reviewer did not have all the facts. The change was not necessary.

    What this skill does

    The agent reads the code before it answers a comment. Then it gives each comment one of four answers:

    • Concede: the reviewer is correct. The agent must give proof, for example a failing test or the project rule that the code breaks. It must also say how it tried to prove the reviewer wrong.
    • Dispute: the reviewer is not correct. The agent must give the file and line that show this, or a test run. It does not change the code.
    • Clarify: the comment is not clear. The agent asks the reviewer a question. It does not change the code.
    • No action: the comment is an approval or a thank-you. The agent cannot use this answer for a comment on a line of code.

    A small Python script checks these rules. The script stops and shows the problem when:

    • the agent agrees or disagrees with no proof,
    • the agent changes code for a Dispute or a Clarify answer,
    • the agent skips a comment.

    The skill leaves out bot messages, resolved comments, and comments that you already answered.

    You stay in control

    The agent writes draft replies to a file. It does not post them. You read the drafts, change the words if necessary, and post them yourself.

    Help your reviewers

    The skill can also write a short summary of your pull request. The summary says what changed, what you already checked, and where you want the reviewer to look. You commit it with your branch. You can also add it to the pull request description.

    What you need

    • The GitHub command-line tool (gh). You must be logged in.
    • Python 3.10 or later. You do not need other packages.
    • A local copy of your repository.

    Use it with Review This PR

    This skill helps the author of a pull request. Review This PR is a separate skill for the reviewer.

    1. You use this skill to write a summary of your pull request.
    2. The reviewer's agent uses Review This PR. It reads your summary before it reads the code.
    3. Before it writes a comment, the reviewer's agent must give the file and line, and show what goes wrong.
    4. When comments come, this skill helps you answer them with proof.

    Each skill works alone. They work best together.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Requires

    GitHub
    gh (GitHub CLI, authenticated)
    python3 (3.10+)
    git

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