DEVOPS

CVE Rebuild Triage Agent: Group Re-Tags into Coherent Rebuild PRs with Written Rationale

An agent reviews the day's base-image re-tags and CVE advisories, groups related rebuilds across repos.

CategoryDevOps
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule
  • ActionGather re-tag events and CVE advisory textPerplexityPerplexity
  • ActionRead affected Dockerfiles across reposGitHubGitHub
  • LogicGroup related rebuilds and draft rationale
  • ActionOpen one explained rebuild PR per groupGitHubGitHub
  • OutputPost grouped PR digest to SlackSlack

What it does

Instead of one mechanical PR per drifted digest, this agent-driven workflow reads the accumulated base-image re-tags and their CVE advisories, reasons about which changes belong together (for example all services on the same shared base), and opens grouped rebuild PRs. Each PR body explains which CVEs are addressed, the affected services, and the residual risk, written for a reviewer rather than a parser.

When to use it

Use it when raw digest-bump PRs create review fatigue and you want fewer, better-explained pull requests that a human can approve with real context.

How it works

  1. 1A daily schedule starts the run.
  2. 2The agent gathers the day's re-tag events and pulls the matching CVE advisory text.
  3. 3It reads affected Dockerfiles across repos from GitHub to understand shared bases.
  4. 4The agent groups changes into coherent units and drafts a rationale and risk summary for each.
  5. 5It opens one rebuild PR per group on GitHub with the written explanation.
  6. 6It posts a digest of the grouped PRs and reasoning to Slack for review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect PerplexitySearch-grounded answers with citations.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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