motion-handoff — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited motion-handoff (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
This skill turns accepted storyboard frames into motion-ready instructions for AI video tools.
It is not a storyboard generator. It assumes the visual direction is mostly approved and focuses on helping a video model interpret the frames as a sequence instead of hallucinating unrelated product footage.
Use this skill for requests like:
Do not use this skill for first-pass narrative planning, visual style exploration, frame QA, or image generation unless the user explicitly asks for those parts too.
Before writing handoff prompts, establish or state assumptions for:
If the order or target workflow is unclear, ask one concise question before writing the final prompt.
When multiple images are connected to a video generation node, explicitly define them as the timeline.
Use wording like:
Treat the connected images as sequential keyframes in this exact order, not as separate style references. Image 1 is the opening state, image 2 is the motion midpoint, and image 3 is the final state.Never assume the tool will infer order correctly from upload order alone.
Choose the smallest useful output:
For node workflows, use a concrete shape:
Image Nodes [01, 02, 03] -> Video Generation Node
Model: <model>
Duration: <seconds>
Aspect: 9:16
Prompt: <paste-ready prompt>A good handoff prompt has six parts:
Example:
Create a polished SaaS product-launch motion-design clip using the connected images as sequential keyframes in this exact order, not as separate style references.
Image 1 is the quiet opening state, Image 2 is the midpoint where the UI modules ease in and glow, and Image 3 is the final resolved product state. Animate with clean 2D/2.5D motion: soft ease-in, slight scale, opacity reveal, subtle teal glow, and controlled parallax in the background only.
Preserve the product UI structure, logo, readable labels, button shapes, and 9:16 composition. Do not add new screens, fake dashboards, random paragraphs, realistic football footage, or invented brand marks. The result should feel like a premium SaaS launch motion graphic, not a phone recording or cinematic sports ad.Add stitch guidance only when the clip will be joined to neighboring clips.
Opening clip:
Begin from a near-empty clean stage for the first few frames so the previous clip can cut into it smoothly.Middle clip:
Start by matching Image 1 exactly for a brief hold, then move through the sequence and end by holding Image <last> cleanly for stitching.Final clip:
End with a calm resolved hold on the final brand/product frame; avoid extra flourish after the last keyframe.AI video tools often fail when UI is too angled, too dense, or text-heavy.
Prefer:
Avoid:
If the model output looks wrong, classify the failure before reprompting:
sequence confusion: it treated images as references, not ordered keyframespaste failure: it pasted a UI image onto the background instead of integrating motiontext drift: readable labels mutated or became gibberishcamera drift: the clip became cinematic footage instead of product motionover-animation: too much 3D, rotation, particles, or realismunder-animation: static image with only late element spawnsThen write a narrower prompt that fixes that exact failure.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.