SECOPS

Attach Sentry production risk context to security MR reviews

When a security-labeled MR touches files tied to recent Sentry errors, it pulls those issues and comments the production risk profile directly on the MR so reviewers weigh…

CategorySecOps
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerGitLab MR gains a security labelGitLabGitLab
  • ActionFetch MR changed file pathsGitLabGitLab
  • ActionQuery Sentry issues for those pathsSentrySentry
  • LogicAssess whether production risk exists
  • OutputComment risk profile on the MRGitLabGitLab

What it does

Links code review to production reality. For a security-labeled merge request, it maps the changed files to Sentry issues seen in the last 30 days and posts a comment summarizing open errors, event volume, and affected releases for those code paths, so reviewers know which sensitive areas are already shaky.

When to use it

Use it when security reviews happen in a vacuum and approvers cannot tell whether a touched module is rock-solid or already throwing in production. Especially useful for auth and payment paths where instability plus a sensitive change is a compounding risk.

How it works

  1. 1A GitLab webhook fires when a security label is added to an MR.
  2. 2The flow fetches the MR's changed file paths.
  3. 3It queries Sentry for issues whose stack frames reference those paths in the recent window.
  4. 4A branch decides whether any meaningful production risk exists.
  5. 5If issues are found, it posts a GitLab MR comment ranking the riskiest files with error counts and links back to each Sentry issue; if clean, it posts a short all-clear note.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitLabRepos, MRs, pipelines, registry.
  2. 2
    Connect SentryErrors, performance, releases.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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