Use Cases

In practice, the Rules Engine is being used to test mod loading, generate messages in Slack channels for new content submissions, bolster platform-specific word filters, and stop users from editing mod profiles using the web dashboard.

Our Example

As an example, we have very basic rules set up for our test game. In our test game we only want Artic Seals friendly content, which means strictly no Polar Bears. To enforce this, we have set up two rules, one on Mod Comment, which denies the comment if their post includes the words “polar” or “bear”, and a similar rule which automatically reports any mod which is edited to include the words “polar” or “bear”.

Regular expression check, which denies the user with a custom message

Comment is denied by rule for containing a forbidden word “Bear”

Live Examples

Significantly more advanced rules are being run by games using mod.io. Examples of these are explained below.

• Dying Light 2: Stay Human - On “Add Modfile” action, they have set up a webhook which calls an AWS Lambda function, which verifies and autobuilds the modfile to ensure cross-platform compatibility.
• Park Beyond - They only want their UGC details and media to be editable using the in-game interface. To accomplish this, they have set up a rule against a number of actions “Edit Mod”, “Add Mod Tags”, “Add Mod Media”. These requests will be denied, if the user performing the action is not a game admin, and if the user-agent indicates the request was made from the web and not via the Unreal Engine game client.
• Bonelab - On “Add Mod Comment” action, to catch toxic users, they have set up a bunch of word checks, which calls an IFTTT hosted webhook, which then posts a message into their Slack channel, for their moderators to monitor and action.

Other examples we are working on, include:

• CRM - Automatically opening a support ticket on content submission, so UGC can be moderated using your preferred CRM software (i.e. JIRA, Zendesk etc). The CRM would make calls back to the API to perform actions.
• Image Safety Checks - Using AI such as AWS Rekognition, to determine if the mod preview image contains inappropriate content, such as nudity or violence.
• Textual Toxicity Checks - Using common moderation tooling such as Two Hat, to check text for profanities, slurs, or other scenarios which don’t adhere to your policies.