attribution-engineHelps creators clearly credit collaborators, tools, and partners in a way platforms understand. Reduces confusion, missed disclosures, and avoidable issues before content goes live.
Install via ClawdBot CLI:
clawdbot install OtherPowers/attribution-engineAttribution 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:
Content created autonomously by a system with no meaningful human editorial
control.
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:
descriptions
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:
Organizes rights, licenses, and internal records at creation time.
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.
Generated Mar 1, 2026
A music producer creates a track using AI-assisted mastering tools and features a guest vocalist. They need to credit the vocalist and disclose AI usage clearly in descriptions on platforms like Spotify and SoundCloud to avoid mislabeling and ensure proper reach.
An influencer creates a video review for a gifted product, using AI for color correction. They must attribute the brand partner and enable native branded content toggles on Instagram or TikTok to comply with platform rules and maintain transparency with followers.
A filmmaker produces a short film with AI-assisted visual effects and collaborates with a composer. They need to format credits for YouTube and Netflix, ensuring attribution survives uploads and disclosures are clear to avoid platform flags or reduced visibility.
A podcaster records an episode with a guest, using AI tools for audio cleanup and editing. They must credit the guest and disclose AI assistance in show notes on platforms like YouTube Music to align with platform labeling requirements and maintain listener trust.
A brand develops a promotional video with synthetic media elements and partners with a creator. They need to format attribution for Amazon Music and Tidal, using visible strings to ensure credits persist through reposts and comply with disclosure standards for AI use.
A platform offering tools for creators to manage attribution and compliance, charging a monthly fee for access to the Attribution Engine and related skills like Creator Rights Assistant. Revenue comes from subscriptions and tiered plans for advanced features.
A software-as-a-service product providing attribution formatting and disclosure assistance, with a free basic version and paid upgrades for enterprise features like multi-platform support and integration with content management systems. Revenue is generated through premium subscriptions and enterprise licenses.
Offering workshops and consulting sessions to help creators and organizations implement the Attribution Engine effectively, focusing on best practices for platform compliance and attribution management. Revenue comes from service fees and custom training packages.
đź’¬ Integration Tip
Use this skill alongside Creator Rights Assistant to organize rights and licenses, ensuring a seamless workflow from creation to publication without legal oversights.
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