Review a Jira automation export before activation.

Importing the JSON is the easy part. The preflight is about understanding what the exported rules could do before they are enabled after a migration, handover, or configuration change.

1. Establish purpose, ownership, and execution identity

• Give every rule a clear purpose and accountable owner.
• Confirm whether the rule is global, project-scoped, or limited by conditions.
• Verify the intended execution actor after import; a static export cannot prove current permissions.
• Flag rules whose owner, actor, or operational responsibility is unclear.

2. Find overlapping and duplicate execution paths

Review enabled rules that share a trigger, schedule, scope, or action pattern. Two individually reasonable rules can duplicate updates, create work items twice, or trigger one another after a migration.

3. Put narrow guards before high-impact actions

Check that web requests, delete or bulk actions, create or clone actions, and broad field updates are preceded by conditions that restrict the relevant project, state, work-item type, or data set. Consider how a retry or repeated trigger would behave.

4. Bound scheduled searches and fan-out

• Narrow scheduled JQL to the smallest relevant set and validate its expected result count.
• Review branches that can multiply actions across work items, users, or related records.
• Compare large or deeply nested rules with Atlassian's current documented automation service limits.
• Treat a limit warning as a prompt for runtime validation, not a prediction that execution will fail.

5. Restore secrets and integrations deliberately

Masked credentials and environment-specific endpoints may not survive an export/import workflow in a usable form. Re-enter secrets in Jira, verify the destination, and test external calls against a safe endpoint before enabling production actions. Do not place secrets into the JSON file.

6. Look for loops and timing assumptions

Review self-triggering field updates, pairs of rules that can trigger each other, and assumptions that a multi-item branch finishes before the outer flow continues. Static JSON can identify suspicious structures, but only safe runtime testing can confirm actual behavior.

7. Treat unknown structures as missing coverage

An unfamiliar component or incomplete export is not a clean result. Record it as not evaluated, inspect it in Jira, and keep that uncertainty visible in the release decision.

8. Validate live behavior separately

Before production activation, test in a safe project with representative permissions and data. Confirm mappings, actor access, external endpoints, audit-log behavior, and the expected number of affected work items. Keep a rollback or disable path ready.

Make the review repeatable

RuleSignal applies 30 deterministic checks to a user-selected Jira automation export, compares two exports, and produces offline evidence with remediation guidance. The files stay in the browser tab; the app requests zero Jira API scopes and has no vendor upload endpoint.

RuleSignal is a review aid. It does not modify Jira, inspect live audit logs, validate permissions or secrets, test external endpoints, or certify that an automation is safe.