SKILLEMALL.ai

AF vmeg-media-translation

Use when the user needs video/audio/subtitle translation, material and task management, script editing, or export via VMEG in an AI coding assistant or OpenClaw agent. Requires VMEG Remote MCP (OAuth or vmeg_sk API Key). Tool usage follows MCP server instructions.

ClawHub Agent Skills author: maxeileen55-beep v1.0.0 MIT-0 16 files body ≈ 1 029 tokens Open the sourceclawhub.ai analyzed 2 d ago

Requires VMEG Remote MCP (OAuth or vmegsk API Key).

As a process F 47/100 · Will not run — References files that are not bundled: references/setup-{platform}.md

IntegrationMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
F
47/100
Will not run
References files that are not bundled: references/setup-{platform}.md
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
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: 16. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/setup-{platform}.md

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: references/setup-{platform}.md
  • 0Tools and files. 1 referenced file(s) missing: references/setup-{platform}.md
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (vmeg-media-translation) differs from the folder (vmeg-video-translator)
  • 50Failures and branches. 0 branches, has a failure section
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 18 steps
  • 100Execution cost. Instruction body is 1029 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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 264: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 18 items
  • +4Reference files are cited in the instructions (13 of 13)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: clean
This is a disclosed VMEG media-translation integration, with expected network uploads and account access that users should handle carefully.
LLM: benign (high) · VirusTotal: · 13 Jul 2026