SKILLEMALL.ai

A edit-video

Restyle or relight an existing video, changing the whole frame's look while the motion carries. Use when the user says "restyle this clip", "make this footage look like winter", "turn this into a cartoon", "relight this scene", "give the whole video a new look", or "edit this video without redoing it". This is a global look change across the frame. To swap one specific element such as an actor, a product, or a garment while everything else stays put, use replace-in-video. For aspect ratio, use reframe-video. For resolution, use video-upscale. For sound, use add-audio-to-video.

ClawHub Agent Skills author: runware v1.0.0 MIT-0 3 files body ≈ 1 841 tokens open source ↗ analyzed 28 h ago
GeneratorMedia and videotype and topics are labelled automatically from the skill text
JSON
A
96/100
Overall score
Safety 60%
100
Quality 40%
89
Tests bonus
0

How to improve

  1. Add evals/evals.json with 4–6 real requests and expected answers: the full check will then use your cases instead of a model draft.
  2. Add a spec.yaml with triggers and assertions (skilltest init): the behaviour contract for CI.

Guard findings · 0

✓ No critical or high findings

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Lint

✓ Lint: no remarks

Process maturity 62/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 2 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 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
  • 100Steps. 26 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1841 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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +3Description length 583: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 26 items
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

External checks

ClawHub: clean
This skill is a documented video-editing guide that sends user-provided video to generation models, with some routing ambiguity but no hidden execution, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 18 Jul 2026