Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Other
Attribution Engine (2026+)
Helps creators clearly credit collaborators, tools, and partners in a way platforms understand. Reduces confusion, missed disclosures, and avoidable issues before content goes live.
skill openclawclawhub Free
Helps creators clearly credit collaborators, tools, and partners in a way platforms understand. Reduces confusion, missed disclosures, and avoidable issues before content goes live.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, _meta.json
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.2.1
Provenance
- Publisher
- OtherPowers
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
1. What this skill does
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.
2. Important note before we begin
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.
3. Why attribution matters in 2026
Attribution is no longer just courtesy. Platforms now use attribution and disclosure signals to decide: how content is labeled how far it travels whether it is limited, flagged, or reviewed 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.
Attribution
Who should be credited publicly for the work. Example: Performer Producer Visual artist Brand partner Tool or system used
Disclosure
Whether viewers need to be told something important about how the content was made or funded. Examples: AI-assisted editing Synthetic or altered media Paid or gifted brand relationships
Provenance
How the content came into being. Examples: Fully human-authored Human-authored with AI assistance Fully AI-generated
5. Human vs AI labels (avoiding over-labeling)
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.
6. Commercial relationships and brand credits
Hashtags alone are no longer enough. If a post involves a material connection, such as: sponsorship gifted products affiliate links paid usage most platforms expect you to use their native branded content tools. This skill will: flag when attribution suggests a commercial relationship remind you to enable the platform’s built-in partnership or branded toggle Example warning you may see: This credit appears promotional. Make sure the platform’s native paid partnership setting is enabled before publishing.
7. Platform-aware formatting
Each platform treats attribution differently. The Attribution Engine adapts output based on: character limits “read more” cutoffs native labels and toggles visible vs hidden metadata Supported platforms include: YouTube TikTok Instagram Spotify YouTube Music SoundCloud Tidal Netflix Amazon Music You can also name any other platform. The skill will reference that platform’s current public documentation when available.
8. Metadata does not always survive uploads
Many platforms strip file metadata during upload. To reduce loss: the skill can generate a visible attribution string for captions or descriptions and a reference ID you can keep internally Example visible string: Ref OP-2026-ALPHA | Auth R. Mutt | Human-AI Collaborative This helps attribution survive reposts and re-uploads.
9. Collaborators and consent clarity
Attribution records are not contracts. Listing collaborators here: does not define ownership does not imply revenue splits does not replace agreements This skill treats attribution as documentation, not legal representation.
10. How this fits with other skills
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.
11. What this skill does not do
This skill does not: validate licenses determine ownership predict platform actions guarantee reach or safety advise on how to bypass systems It exists to reduce avoidable mistakes and save time.
12. Simple example
Input: Video with original music, light AI color correction, and a gifted product. Output: Suggested credit string for YouTube description Reminder to enable branded content toggle Human-authored, AI-assisted disclosure language Platform-specific formatting notes No guessing. No legal claims. Just clarity.
13. Summary
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.
Category context
Long-tail utilities that do not fit the current primary taxonomy cleanly.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Config
- SKILL.md
- _meta.json