SECOPS

Agent drafts and opens a per-repo CVE remediation plan PR

An agent investigates a flagged CVE across all affected repos, reasons about safe upgrade paths and breaking changes.

CategorySecOps
Enginepaperclip
Difficultyadvanced
Triggermanual
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator supplies CVE and package
  • ActionFind affected repos via GitHubGitHubGitHub
  • ActionRead manifests, lockfiles, changelogsGitHubGitHub
  • LogicAgent reasons on upgrade safety and breakage
  • ActionOpen remediation PR per repoGitHubGitHub
  • OutputPost PR list with risk ratings to SlackSlack

What it does

Handles the judgment-heavy part of remediation. For a flagged CVE, an agent inspects each affected repo's manifest and lockfile, reasons about whether the fixed version is a safe patch bump or a breaking major, checks changelogs, and opens a GitHub PR per repo with the bump and a clear explanation of risk and test impact.

When to use it

Use it when fixes aren't mechanical: transitive deps, peer-version conflicts, or major-version jumps that need a human-readable upgrade rationale. Best when you want the agent to do the analysis and leave a reviewable PR, not just a blind bump.

How it works

  1. 1A manual or chat trigger supplies the CVE and target package.
  2. 2The agent searches GitHub for repos depending on the affected package.
  3. 3For each repo it reads the manifest, lockfile, and the fix version's changelog.
  4. 4The agent reasons about upgrade safety, transitive impact, and likely test breakage.
  5. 5It drafts a remediation note explaining the change and residual risk.
  6. 6A GitHub PR is opened per repo with the bump and the note in the body.
  7. 7A Slack message lists the PRs with the agent's risk rating for each.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  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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