SKILLEMALL.ai

AB animate-image

Turn a still image into motion. Use when the user says "animate this photo", "make this picture move", "bring this illustration to life", "add motion to this image", "image to video", or wants a static still to become a short clip, including copying motion from another video onto your still. For a deliberately filmic look with lens, camera moves, and color grade, use cinematic-video. For a product spot, use product-ad-video. To make a face talk, use talking-avatar.

ClawHub Agent Skills author: runware v1.0.0 MIT-0 3 files body ≈ 1 944 tokens Open the sourceclawhub.ai analyzed 2 d ago

Turn a still image into motion.

As a process B 65/100 · Nearly there — weak spots: result and completion, running it twice, progress reporting

ProcedureMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
93
Run on models
none yet
Process rating
B
65/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
Running it twice w 4
30
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: 3. 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 65/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 4 mutating operations with no state check
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 37 steps, 1 vague phrases
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1944 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +3Description length 469: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 37 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

    External checks

    ClawHub: clean
    This skill coherently guides an agent to turn a user-provided still image into a short video using disclosed Runware video models.
    LLM: benign (high) · VirusTotal: · 18 Jul 2026