sentry-pr-code-review

name	sentry-pr-code-review
description	Review a project's PRs to check for issues detected in code review by Seer Bug Prediction. Use when asked to review or fix issues identified by Sentry in PR comments, or to find recent PRs with Sentry feedback.
license	Apache-2.0
category	workflow
parent	sentry-workflow
disable-model-invocation	true

All Skills > Workflow > PR Code Review

Sentry Code Review

Review and fix issues identified by Seer (by Sentry) in GitHub PR comments.

Invoke This Skill When

• User asks to "review Sentry comments" or "fix Sentry issues" on a PR
• User shares a PR URL/number and mentions Sentry or Seer feedback
• User asks to "address Sentry review" or "resolve Sentry findings"
• User wants to find PRs with unresolved Sentry comments

Prerequisites

• gh CLI installed and authenticated
• Repository has the Seer by Sentry GitHub App installed

Important: The comment format parsed below is based on Seer's current output. This is not an API contract and may change. Always verify the actual comment structure.

Phase 1: Fetch Seer Comments

gh api repos/{owner}/{repo}/pulls/{PR_NUMBER}/comments --paginate \
  --jq '.[] | select(.user.login == "seer-by-sentry[bot]") | {file: .path, line: .line, body: .body}'

The bot login is seer-by-sentry[bot] — not sentry[bot] or sentry-io[bot].

If no PR number is given, find recent PRs with Seer comments:

gh pr list --state open --json number,title --limit 20 | \
  jq -r '.[].number' | while read pr; do
    count=$(gh api "repos/{owner}/{repo}/pulls/$pr/comments" --paginate \
      --jq '[.[] | select(.user.login == "seer-by-sentry[bot]")] | length')
    [ "$count" -gt 0 ] && echo "PR #$pr: $count Seer comments"
  done

Phase 2: Parse Each Comment

Extract from the markdown body:

• Bug description: Line starting with **Bug:**
• Severity/Confidence: In <sub>Severity: X | Confidence: X.XX</sub>
• Analysis: Inside <summary>🔍 <b>Detailed Analysis</b></summary> block
• Suggested Fix: Inside <summary>💡 <b>Suggested Fix</b></summary> block
• AI Prompt: Inside <summary>🤖 <b>Prompt for AI Agent</b></summary> block

Phase 3: Verify & Fix

For each issue:

1. Read the file at the specified line
2. Confirm issue still exists in current code (not already fixed in a later commit)
3. Review surrounding code to assess if it's an actual issue or false positive
4. Implement fix (use suggested fix as starting point, or write your own)
5. Consider edge cases and regression risk

Phase 4: Summarize and Report Results

## Seer Review: PR #[number]

### Resolved

| File:Line | Issue | Severity | Fix Applied |
| --------- | ----- | -------- | ----------- |
| path:123  | desc  | HIGH     | what done   |

### Skipped (false positive or already fixed)

| File:Line | Issue | Reason |
| --------- | ----- | ------ |

**Summary:** X resolved, Y skipped

Seer Review Triggers

Trigger	When
PR set to "Ready for Review"	Automatic error prediction
Commit pushed while PR is ready	Re-runs prediction
@sentry review comment	Manual trigger for full review + suggestions
Draft PR	Skipped — no review until marked ready

Troubleshooting

Issue	Solution
No Seer comments found	Verify the Seer GitHub App is installed on the repo
Bot name mismatch	The login is seer-by-sentry[bot], not sentry[bot]
Comments not appearing on new PRs	PR must be "Ready for Review" (not draft)
gh api returns partial results	Ensure --paginate flag is included

Common Issue Types

Category	Examples
Type Safety	Missing null checks, unsafe type assertions
Error Handling	Swallowed errors, missing boundaries
Validation	Permissive inputs, missing sanitization
Config	Missing env vars, incorrect paths