Helps creators clearly credit collaborators, tools, and partners in a way platforms understand. Reduces confusion, missed disclosures, and avoidable issues b...
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Attribution Engine helps creators prepare clear, platform-aware credits and disclosures before publishing.
It focuses on clarity, consistency, and platform alignment, so your work travels cleanly across feeds, remixes, and reposts without unnecessary confusion later.
This skill does not tell you what you are legally required to do.
It helps you organize and format information using each platform’s own rules.
Before using this skill, you will see a short notice:
This tool helps format attribution and disclosure information using publicly available platform guidance.
It does not provide legal advice, determine compliance, or guarantee outcomes. You remain responsible for how and where content is published.
Attribution is no longer just courtesy.
Platforms now use attribution and disclosure signals to decide:
Small mismatches, like forgetting a native toggle or using the wrong AI label, can quietly reduce reach or trigger reviews.
This skill helps you catch those issues early.
Who should be credited publicly for the work.
Example:
Whether viewers need to be told something important about how the content was made or funded.
Examples:
How the content came into being.
Examples:
Not all AI use is the same.
Over-labeling simple edits as “AI-generated” can cause platforms to treat your work as low-effort or mass-produced.
This skill helps distinguish between:
AI-Generated
Content created autonomously by a system with no meaningful human editorial
control.
Human-Authored, AI-Assisted
Content where a person made the creative decisions and used tools for help
such as cleanup, mastering, or compositing.
Example:
“Human-authored with AI-assisted mastering.”
This helps preserve trust without self-demotion.
Hashtags alone are no longer enough.
If a post involves a material connection, such as:
most platforms expect you to use their native branded content tools.
This skill will:
Example warning you may see:
This credit appears promotional. Make sure the platform’s native paid partnership setting is enabled before publishing.
Each platform treats attribution differently.
The Attribution Engine adapts output based on:
Supported platforms include:
You can also name any other platform. The skill will reference that platform’s current public documentation when available.
Many platforms strip file metadata during upload.
To reduce loss:
Example visible string:
Ref OP-2026-ALPHA | Auth R. Mutt | Human-AI Collaborative
This helps attribution survive reposts and re-uploads.
Attribution records are not contracts.
Listing collaborators here:
This skill treats attribution as documentation, not legal representation.
Attribution Engine works best alongside:
Creator Rights Assistant
Organizes rights, licenses, and internal records at creation time.
Content ID Guide
Helps you understand and organize information when automated claims appear.
Together, they support a calmer, more predictable content lifecycle.
This skill does not:
It exists to reduce avoidable mistakes and save time.
Input:
Video with original music, light AI color correction, and a gifted product.
Output:
No guessing. No legal claims. Just clarity.
Attribution Engine helps creators explain their work clearly in the language platforms expect.
It reduces confusion, protects context, and supports transparency without over-labeling or over-promising.
Clean inputs lead to calmer outcomes.
No automatic installation available. Please visit the source repository for installation instructions.
View Installation Instructions
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