CONTENT CREATION
Weekly audit of Confluence runbooks against the codebase
Every week the agent scans your Confluence runbooks, checks each against the current code and config.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule
- ActionList runbook pages in Confluence spaceConfluence
- ActionGather referenced code, scripts, and configGitHub
- LogicScore and rank staleness per page
- OutputPost prioritized audit report to SlackSlack
What it does
Runs on a weekly schedule and audits a Confluence space of runbooks and internal guides. For each page it samples the code, scripts, and config the page describes, then estimates how stale the page is and what specifically no longer matches.
When to use it
Use it when operational knowledge lives in Confluence and slowly rots: commands that changed, services that were renamed, steps that no longer exist. Good for platform and on-call teams who need to know which docs to fix first instead of auditing everything by hand.
How it works
- 1A weekly schedule fires the trigger.
- 2The agent lists pages in the target Confluence space.
- 3For each page it gathers the referenced code paths, scripts, and config from GitHub.
- 4A scoring step rates each page's staleness and notes the concrete mismatches.
- 5It ranks pages from most to least likely stale.
- 6It posts a prioritized audit report to Slack with direct page links and the reasons each was flagged.
Set it up
What you configure once, before turning it on.
- 1Connect ConfluenceSpaces, pages, blueprints.
- 2Connect GitHubRepos, issues, pull requests, actions.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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