SKILLEMALL.ai

AC voooai

Short drama & webtoon production, text-to-image, image-to-image, storyboard design, text-to-video, image-to-video, video edit, style transfer, batch generation, music & soundtrack. Describe your creative needs → backend generates workflow → execute → poll status → download results. Upload reference files (images, videos, audio) → workflow uses them as input for generation. If a node fails → retry that node with adjusted parameters. Complex tasks (short dramas, full ads) may take 3-5 min. Your role: relay user requests verbatim to backend. Backend AI (Analyst + Expert + Reviewer) handles all creative decisions. Do NOT rewrite prompts, decompose tasks, or construct workflows yourself — just forward and retrieve. Requires VOOOAI_ACCESS_KEY (creative operations only, no billing/admin). Use when: users request any visual or audio content creation, generation, editing, or modification.

ClawHub Agent Skills author: hkljjkl v1.0.2 MIT-0 10 files body ≈ 4 454 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

AnalyzerMedia and videoSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
C
55/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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: 10. 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 55/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 3 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
    • 70Execution cost. Instruction body is 4454 tokens
    • 100Steps. 100 steps
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 13 top-level sections: this looks like several domains in one skill

    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)
    • +3Description length 892: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -232 emoji in the instructions: noise for the model
    • -31 of 8 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +4Structure: 54 headings
    • +3Step-by-step instructions: 100 items
    • +4Has examples (18 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

    External checks

    ClawHub: clean
    This is a disclosed VoooAI creative-generation integration that uses a user-provided key to upload media, run workflows, check status, and download results.
    LLM: benign (high) · 28 May 2026