SKILLEMALL.ai

AF vox-director

Turn ONE topic into a finished Vox-style paper-collage explainer / ad video, end to end on the Atlas Cloud API + local ffmpeg — script, collage keyframes, motion, voice-over, music, captions, all automated. Use this whenever the user wants a "Vox style" video, a paper/torn-paper collage animation, a "motion collage", a narrated explainer or short ad built from AI-generated collage posters, a scrapbook-style tribute, or wants to turn a topic / product / person into a punchy narrated collage video — even if they don't say the word "Vox". Also use when reproducing Stav Zilber / rom1trs / Higgsfield-style collage ad workflows, or when the user asks for a motion collage or a scrapbook-style tribute. Triggers: "vox video", "collage video", "motion collage", "paper collage explainer", "make a collage ad", "turn this topic into a collage video".

ClawHub Agent Skills author: Alisa v0.1.0 MIT-0 2 files body ≈ 3 030 tokens Open the sourceclawhub.ai analyzed 3 d ago

Turn ONE topic into a finished Vox-style paper-collage explainer / ad video, end to end on the Atlas Cloud API + local ffmpeg — script, collage keyframes…

As a process F 55/100 · Will not run — References files that are not bundled: references/prompt-guide.md, references/beat-layer.md, references/models-and-gotchas.md

ProcedureMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
F
55/100
Will not run
References files that are not bundled: references/prompt-guide.md, references/beat-layer.md, references/models-and-gotchas.md
Tools and files w 18
0
Result and completion w 14
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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

  • warning missing-ref reference to a missing file: references/prompt-guide.md
  • warning missing-ref reference to a missing file: references/beat-layer.md
  • warning missing-ref reference to a missing file: references/models-and-gotchas.md
  • warning missing-ref reference to a missing file: scripts/provider.py
  • warning missing-ref reference to a missing file: references/local-engine.md

Process rating: all ten parameters 55/100

Will not run. References files that are not bundled: references/prompt-guide.md, references/beat-layer.md, references/models-and-gotchas.md
  • 0Tools and files. 5 referenced file(s) missing: references/prompt-guide.md, references/beat-layer.md, references/models-and-gotchas.md
  • 0Result and completion. Does not say what the result is
  • 30Running it twice. 3 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 19 steps, 1 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3030 tokens
  • 100Progress reporting. Reports progress

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)
  • +3Description length 849: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 8 example trigger phrases
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 19 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: clean
This is a creative video-generation skill that openly relies on Atlas Cloud and local video tools, with no hidden installer or malicious scan evidence, but prompts and media may leave the local machine.
LLM: benign (high) · VirusTotal: · 13 Jul 2026