IT OPS
Cloudflare WAF PR Rule Lint Preflight
When a pull request touches WAF rule files, it lints the expressions in a shell sandbox, dry-run validates them against Cloudflare, and posts pass/fail status back as a PR check.
How it runs
The automated pipeline, trigger to output.
- TriggerPR changes WAF rule filesGitHub
- ActionLint changed expressions in shell sandboxShell
- ActionDry-run validate against CloudflareCloudflare
- LogicCombine lint and validation into verdict
- OutputPost status check and comment to PRGitHub
What it does
This workflow shifts WAF rule review left into the pull request. The moment a PR modifies ruleset files, it lints the changed expressions, validates them against Cloudflare's API without applying them, and reports a clear pass or fail directly on the PR.
When to use it
Use it when WAF rules live in a repo and you want bad syntax, overly broad matchers, or invalid expressions caught at review time instead of after deploy. It gives reviewers an automated first opinion.
How it works
- 1A GitHub trigger fires on pull requests that change WAF rule files.
- 2A shell step runs the expression linter against the changed rules and flags risky patterns.
- 3The workflow calls Cloudflare's validation endpoint to dry-run the proposed expressions.
- 4A logic step combines lint and validation results into an overall verdict.
- 5The verdict, with specific findings, is posted as a comment and commit status check on the PR.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Connect ShellRun sandboxed commands inside the workspace.
- 3Connect CloudflareWorkers, Pages, R2, KV — the edge stack.
- 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.
More IT Ops workflows
Daily Building Anomaly Digest to MS Teams
Each morning queries BigQuery for the prior day's flagged sensor anomalies, summarizes them by site and system into a ranked briefing.
Indoor Air Quality Breach to Tenant Notice and Work Order
Listens for CO2, VOC, or humidity sensor alerts via webhook, and when a zone exceeds occupant-safety limits it emails affected tenants, opens a Monday remediation task.
Self-Service Reclaim Email for Idle Users
Detects users idle in a SaaS app past the threshold and emails each one a keep-or-release link; unanswered seats after the deadline are auto-flagged for removal.
Outlook Room Conflict Resolver with Approval Gate in Teams
When an Outlook room clashes, proposes a rebooking and asks the bumped meeting's organizer to approve the move in Microsoft Teams before any change is made.
Outlook Room Double-Booking Resolver with Auto-Rebook
Detects when two meetings claim the same Outlook room resource and automatically relocates the lower-priority meeting to a comparable free room.
Monthly Wasted-License Cost Report
Aggregates inactive-seat data across all tracked SaaS apps each month, computes total reclaimable spend, and delivers a ranked cost report to leadership in Notion and Slack.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.
