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sentry-pr-code-review

โ˜… 233

by getsentry ยท part of getsentry/sentry-for-claude

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.

๐Ÿ”Œ This skill ships inside the sentry plugin โ€” install the plugin and you also get 1 slash commands, an MCP server.

This is the playbook your agent receives when the skill activates โ€” you don't need to read it to use the skill, but it's here to audit before installing.

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

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] โ€” 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>๐Ÿ” <b>Detailed Analysis</b></summary> block
  • Suggested Fix: Inside <summary>๐Ÿ’ก <b>Suggested Fix</b></summary> block
  • AI Prompt: Inside <summary>๐Ÿค– <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

TriggerWhen
PR set to "Ready for Review"Automatic error prediction
Commit pushed while PR is readyRe-runs prediction
@sentry review commentManual trigger for full review + suggestions
Draft PRSkipped โ€” no review until marked ready