SKILLEMALL.ai

AD oxvodo-motion-prompt-architect

Turn rough creative ideas into structured English or Chinese motion prompts, reference bindings, shot sequences, and focused debugging loops. Use for text-to-video, image-to-video, reference-to-video, video-to-video, product motion, cinematic scenes, transitions, or loops; do not use for account support, live model comparisons, or claims about official provider behavior.

ClawHub Agent Skills author: happyhorse v1.0.0 MIT-0 2 files body ≈ 1 128 tokens Open the sourceclawhub.ai analyzed 3 d ago

Turn rough creative ideas into structured English or Chinese motion prompts, reference bindings, shot sequences, and focused debugging loops.

As a process D 47/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

ReferenceMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
D
47/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 47/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 4 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 100Steps. 33 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1128 tokens

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 373: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 33 items
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This skill is a text prompt-writing helper, with the main consideration being an optional third-party MCP package the user must choose to install.
    LLM: benign (medium) · VirusTotal: · 27 Aug 2026