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pr-bot-reviews

Triage, verdict, and reply to automated PR review comments from GitHub Copilot and Greptile, then iterate until the bots have nothing left to say. Use this whenever a pull request has feedback from Copilot or Greptile and the user wants those comments handled — e.g. "deal with the bot review comments", "address the Copilot/Greptile feedback on my PR", "go through the review bots", "resolve the automated review", or after pushing a branch and asking to "clear the AI reviewers". It judges each comment on its merits (fixing real issues, pushing back on nitpicks), replies inline on each thread, commits and pushes fixes, re-requests review from both bots, waits for the fresh round, and repeats until clean.

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SKILL.md
Quality
Evals
Security

PR Bot Reviews

Automated reviewers (GitHub Copilot, Greptile) leave a lot of comments. Some are real bugs worth fixing; many are nitpicks, style preferences, or simply wrong. Your job is to act like a thoughtful senior engineer reviewing the reviewer: judge each comment honestly, fix what deserves fixing, push back on the rest with clear reasoning, and drive the PR to a clean state.

This is a loop. Each round: collect the bots' open comments → verdict each → apply accepted fixes → reply inline on every thread → commit & push → re-request both bots → wait for the fresh review → repeat. Stop when a new round produces no actionable comments.

Principle: you are pragmatic, not obedient

Bots optimize for finding things to say, not for whether the change is worth making. Do not blindly comply. The bar for a change is: would a thoughtful senior engineer make this change? If yes, make it. If not, decline and say why.

  • Fix: correctness bugs, security issues, data-loss risks, resource leaks, off-by-one / null / boundary errors, broken edge cases, genuinely confusing code, clear violations of the repo's own conventions.
  • Push back: subjective style, speculative "what if" hardening for impossible inputs, premature abstraction, churn for marginal gain, suggestions that contradict project conventions (cite CLAUDE.md or surrounding code), or anything that would add complexity without real benefit. The project guidelines here explicitly favor simplicity and surgical changes — defend that.
  • Verify before trusting. Bots hallucinate. Open the file at the referenced path:line and read the surrounding code before accepting a claim. Confirm the problem is real against the actual code, not just the snippet in the comment. Reject confidently-worded comments that are factually wrong, and say so plainly.
  • Never accept a "fix" that introduces a regression or breaks a convention just to silence a bot. A wrong fix is worse than an open comment.

When you decline, be concrete and respectful — explain the reasoning, cite the code or convention, and leave room that you might have misread it. You are having a technical conversation, not winning an argument.

Prerequisites

  • gh is authenticated (gh auth status). The repo resolves from the cwd.

  • A PR exists for the current branch. Get its context:

    gh pr view --json number,headRefOid,state,url

    If there is no PR, stop and tell the user — there is nothing to review.

The bot author logins this skill targets:

Botuser.login
GitHub Copilotcopilot-pull-request-reviewer[bot]
Greptilegreptile-apps[bot]

The loop

1. Collect open bot comments

Run the helper, which returns only unresolved inline threads authored by the two bots that you have not already replied to (so old/handled threads are skipped automatically):

.claude/skills/pr-bot-reviews/scripts/fetch-bot-threads.sh <pr-number>

It prints a JSON array of {thread_id, comment_id, author, path, line, body}. If the array is empty, the bots have nothing open — go to Termination.

2. Verdict each comment

For every thread, open path around line, read the real code, and decide ACCEPT (fix it) or REJECT (push back), following the pragmatism principle above. Treat each comment on its own merits — bots sometimes contradict each other. Jot a one-line rationale per comment; you'll turn these into replies.

3. Apply accepted fixes

Make the minimal correct change for each ACCEPT. Match surrounding style. Don't "improve" adjacent code. Batch all of a round's fixes together, then commit and push once so the bots re-review a single new head commit:

git add -A
git commit -m "fix: address review comments"   # match the repo's commit conventions
git push
NEW_SHA="$(gh pr view --json headRefOid --jq .headRefOid)"

If a round has zero accepted fixes (all rejected), skip the commit/push — there's no new code to review. Still post your replies (step 4), then go to Termination rather than re-requesting (nothing changed for the bots to look at).

4. Reply inline on every thread

Reply on each thread's root comment (comment_id from the helper). Use the REST replies endpoint; pass the body on stdin so multi-line text is clean:

gh api --method POST \
  "repos/{owner}/{repo}/pulls/<pr>/comments/<comment_id>/replies" \
  -F body=@- <<'EOF'
<your reply>
EOF

Reply to both accepted and rejected comments — silence reads as ignoring the reviewer. Keep replies short and specific:

  • Accepted: Good catch — fixed in `<sha>`. <one line on what changed>.
  • Rejected: Leaving as-is: <reason>. <cite the code/convention>.

Optionally resolve threads you've definitively handled to keep the PR tidy (see references/extras.md). Resolving is not required — the fetch helper already skips threads you've replied to, so they won't reappear next round.

5. Re-request both bots

Only if you pushed a new commit in this round.

Copilot (this gh is < 2.88, so the --add-reviewer @copilot flag is unavailable — use the REST remove-then-add; re-adding an already-requested reviewer is a no-op otherwise):

gh api --method DELETE "repos/{owner}/{repo}/pulls/<pr>/requested_reviewers" \
  -f "reviewers[]=copilot-pull-request-reviewer[bot]" 2>/dev/null || true
gh api --method POST   "repos/{owner}/{repo}/pulls/<pr>/requested_reviewers" \
  -f "reviewers[]=copilot-pull-request-reviewer[bot]"

Greptile (re-reviews on a mention; the handle is @greptileai):

gh pr comment <pr> --body "@greptileai review"

6. Wait for the fresh review

Poll until each re-requested bot posts a review against NEW_SHA. Matching on the commit SHA (not a timestamp) is the robust signal that it's this round, not an old one. Run the helper once per bot, and give the Bash tool a 600000 ms timeout since bots can take a few minutes:

.claude/skills/pr-bot-reviews/scripts/wait-for-review.sh <pr> "$NEW_SHA" "copilot-pull-request-reviewer[bot]"
.claude/skills/pr-bot-reviews/scripts/wait-for-review.sh <pr> "$NEW_SHA" "greptile-apps[bot]"

It prints ready on success or timeout after ~10 min. If it times out, re-run it to keep waiting; after a second timeout, report the stall to the user instead of looping forever. Once both are ready, go back to step 1.

Termination

Stop the loop when a fresh review round produces no actionable bot comments (the fetch helper returns [], or the only new comments are approvals / "LGTM" / pure praise). Also stop, and report, if:

  • A round has zero accepted fixes and you've replied to everything (nothing left to push), or
  • Polling stalls past two timeouts, or
  • You've run ~5 rounds without converging — surface what's still contested and let the user decide.

Then give a concise final report:

PR #<n> — bot review: <N> rounds
Accepted & fixed: <count>   (one bullet each: file:line — what changed)
Pushed back:      <count>   (one bullet each: file:line — why)
Status: clean / stalled / handed back

Files

  • scripts/fetch-bot-threads.sh — list unresolved, un-replied bot threads as JSON.
  • scripts/wait-for-review.sh — poll until a bot reviews a given commit SHA.
  • references/extras.md — resolving threads, verifying bot logins, gotchas.
Repository
pgplex/pgconsole
Last updated
First committed

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