DEVOPS

Run a quarterly feature-flag audit and publish the report

On a quarterly cadence a CEO agent inventories every live flag across repos, classifies each as keep, retire, or investigate, files removal PRs for the clear-cut ones.

CategoryDevOps
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerQuarterly schedule fires
  • ActionInventory all flags across reposGitHubGitHub
  • LogicClassify each flag keep/retire/investigate
  • ActionOpen removal PRs for clear retirementsGitHubGitHub
  • ActionPublish audit report to NotionNotionNotion
  • OutputPost report link and PR list to SlackSlack

What it does

Produces a full standing audit of your flag estate. An agent gathers every flag across your repositories, enriches each with age, rollout state, and recent code activity, then reasons about whether it should be kept, retired, or investigated. The clear retirements get removal PRs; everything is written up in a shareable report.

When to use it

When leadership wants a recurring, defensible picture of flag debt rather than ad-hoc cleanups. Best for organizations with many repos and flags where a human-readable audit plus a few auto-filed PRs each quarter keeps the estate honest.

How it works

  1. 1A quarterly schedule launches the audit agent.
  2. 2The agent searches GitHub across repos to inventory every flag and its metadata.
  3. 3It enriches each flag and classifies it as keep, retire, or investigate.
  4. 4For clear retirements it opens removal PRs via GitHub.
  5. 5It compiles the full inventory and rationale into a Notion audit page.
  6. 6A Slack summary links the report and lists the PRs filed.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect NotionPages, databases, comments.
  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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