Do these 3 things before closing this tab:
1Repair Windows errors before they cause bigger problems2Scan for outdated or missing drivers - takes under a minute3Clear out junk files and repair common Windows errorsStart with the mod’s page and look for an AI-use disclosure. Then check what it covers and compare it with the project’s credits, release history, repository, and any supported file-provenance data. These sources can document or corroborate AI use, but none is a universal detector: an unusual texture, generic description, or odd-looking code cannot by itself establish that AI made it. Missing disclosure or metadata does not prove AI was not used.
What can establish AI use—and what cannot?
There is no validated universal test that can classify arbitrary mod code, images, text, and audio as AI-generated. The strongest starting point is an explicit statement from the creator or host, scoped to the part of the project it describes. Other evidence may corroborate that statement, but a disclosure is a documented claim, not forensic proof of the mod’s entire development history.
- Documented: the creator or platform explicitly says AI was used for a named component.
- Corroborated: dated project materials or a supported provenance signal align with that disclosure.
- Unverified: visual, stylistic, or circumstantial clues raise a question but do not establish origin.
Check the mod page and read the disclosure’s scope
Look for an AI-generated or AI-assisted label on the hosting page, then read its explanation and any linked policy. Identify whether the claim concerns code, distributed assets, text, functionality, or page and promotional material. A broad tag can cover uses as different as one translated line, a texture, substantial code, or an AI-dependent feature.
Modrinth
Modrinth’s Content Rules require a “Contains AI-generated content” disclosure in specified significant-use cases: a substantial portion of project code is AI-produced; assets are primarily or entirely AI-produced; project design or functionality relies on generative AI; or project-page elements rely on it. The rules also prohibit publicly publishing projects primarily or entirely made from AI output and prohibit generative-AI images on project pages.
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Modrinth’s AI disclosure guidance says minor assistance—such as simple questions, grammar checking, or refactoring a few functions—is generally not the significant use the disclosure is intended to capture. Its Content Disclosures guidance addresses significant AI-generated code, AI-generated or AI-assisted distributed assets such as textures, models, and logos, AI-generated text such as dialogue, names, descriptions, and translations, and functionality that depends on generative AI. It also covers AI-generated project-page content. Check the current rules for the project’s version rather than assuming every host uses the same standard.
CurseForge and other hosts
CurseForge’s moderation policies describe review and reporting channels and require a visible disclaimer for AI-modified showcase images when they could misrepresent the actual mod. That is a host-specific rule, not a universal standard for mod pages. A platform’s policy tells you what it expects creators to disclose; it does not independently verify every claim.
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Compare the disclosure with project history
If source material is available, inspect the repository, releases, changelogs, credits, and author explanations for relevant dates and consistency. Compare the files associated with the disclosed component across versions. This can show what the project history supports, but a commit pattern, writing style, or sudden release is not proof of AI generation.
If source files are unavailable, note that limitation. A compiled mod or bundled assets can still be assessed against the project page, credits, release history, and available file metadata, but the evidence is usually weaker. Avoid treating an unexplained gap in the history as evidence either for or against AI use.
Look for provenance data only where it is supported
Some media files may retain Content Credentials or watermark signals. OpenAI describes Content Credentials as information about a file’s origin and history, and says provenance signals are used for supported content types. Coverage depends on product, model, export path, file type, and date; the signal is not available for every kind of mod file. See OpenAI’s explanation of provenance signals.
Metadata can be removed by platforms, editing tools, or conversion. Content Credentials can be lost through ordinary actions such as taking a screenshot or converting a file, and a watermark may become undetectable after extensive changes. A positive signal is evidence about the supported tool or file, not proof that every part of a mod was AI-made. A missing signal is inconclusive: it may not have been embedded, may not be supported for that output, or may have been stripped.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Make a careful report or comparison
If you compare two mods, assess the same things for each: what component is covered, how extensive the disclosed use is, how independent and specific the corroborating evidence is, whether provenance data exists and remains intact, and whether the relevant host policy applies to the current version. A vague tag and a retained provenance record are different kinds of evidence; neither necessarily establishes the complete history.
If you raise a concern, identify the specific page, file, disclosure, or provenance signal and distinguish what is documented from what remains uncertain. CurseForge describes automated checks and manual review and invites reports with supporting information through its moderation policy. Avoid accusations based only on an odd texture, generic prose, unusual code, or a screenshot.
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Keep platform rules in context
Steamworks’ AI-content announcement distinguishes pre-generated from live-generated content in its guidance for Steam game submissions. That guidance is about Steam submissions; it is not a universal mod-host rule and does not establish a way to detect AI use in a mod.
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