SKILLEMALL.ai

BA ark-video-storyboard

Generate a storyboard and prompts from a scene or reference images, confirm the script with the user, then optionally submit multi-segment video generation tasks to the Volcengine Ark video API. Use when the user wants to turn a scene idea into a structured video workflow, especially for mood films, product scenes, narrative shorts, or image-to-video prompt pipelines.

Not recommendedcritical or high security findings
ClawHub Agent Skills author: Heaven v1.0.4 MIT-0 12 files body ≈ 2 312 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process A 85/100 · Runs to the end — weak spots: running it twice

GeneratorMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
82
Quality 40%
94
Run on models
none yet
Process rating
A
85/100
Runs to the end
Running it twice w 4
30
Result and completion w 14
60
When it triggers w 12
70
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Concealment
If you install

The skill tells the agent to hide things from you: not to show errors, not to mention actions, to report differently from what was done. You lose the ability to see what the agent really did.

For the author

Transparency beats a smooth answer. If the goal is to hide technical noise, ask the agent to "summarise briefly", not to "not mention".

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
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 · 1

  • high Concealment en-hide-from-user SKILL.md:245
    Instruction to hide actions from the user
    - Do not notify the user for each successful segment submission

Files scanned: 12. 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 85/100

  • 30Running it twice. 2 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Tools and files. No external tools needed
  • 100Steps. 116 steps
  • 100Failures and branches. 10 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2312 tokens
  • 100Progress reporting. Reports progress
  • low 15 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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 370: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 116 items
  • +3Output format is stated explicitly
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +3All 6 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

External checks

ClawHub: suspicious
The skill largely matches a video storyboard and Ark video-generation purpose, but it adds under-scoped external delivery, persistent workflow logging, and a hard-coded ethnicity default that users should review before installing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026