SKILLEMALL.ai

AB english-learning-animation

Create or revise short, character-led English-learning animation videos with an English-only hook/cover, original editorial-cartoon visuals, distinct Qwen3-TTS VoiceDesign characters, and audio-driven scene timing. Use when the user asks for animated English lessons, dialogue-based language-learning shorts, cartoon ESL videos, or to improve their character voices, subtitles, cover, motion, or audiovisual synchronization.

ClawHub Agent Skills author: ToBeWin v0.1.0 MIT-0 25 files body ≈ 1 660 tokens Open the sourceclawhub.ai analyzed 3 d ago

Create or revise short, character-led English-learning animation videos with an English-only hook/cover, original editorial-cartoon visuals, distinct…

As a process B 66/100 · Nearly there — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
B
66/100
Nearly there
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
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: 24. 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 66/100

    • 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. 3 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 100Tools and files. No external tools needed
    • 100Steps. 17 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1660 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
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -31 of 11 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 424: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 17 items
    • +4Has examples (9 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: clean
    This skill is a coherent animation-production helper whose local scripts and file writes match its stated video-creation purpose.
    LLM: benign (high) · VirusTotal: · 26 Aug 2026