SKILLEMALL.ai

CC MeiGen

Compose MeiGen image/video and five dedicated image tools inside an existing workflow, or opt into creative planning. Preserves caller prompts, parameters, approved count and budget; includes discovery and recoverable task handles.

ClawHub Agent Skills author: jau123 v3.1.0 MIT-0 4 files body ≈ 3 554 tokens Open the sourceclawhub.ai↗ analyzed 8 d ago

Compose MeiGen image/video and five dedicated image tools inside an existing workflow, or opt into creative planning.

As a process C 53/100 · Has gaps — weak spots: steps, result and completion, consistency

GeneratorAI and agentsMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
C
53/100
Has gaps
Steps w 15
0
Progress reporting w 2
0
Result and completion w 14
40
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "homepage"
  • note edit-residue the text marks something as outdated (lines 21, 36, 90): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 53/100

  • 0Steps. Prose only: no discrete steps
  • 0Progress reporting. Says nothing while it works
  • 40Result and completion. Does not say what the result is
  • 40Consistency. Frontmatter name (MeiGen) differs from the folder (creative-toolkit)
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Failures and branches. 1 branches, has a failure section
  • 100Execution cost. Instruction body is 3554 tokens
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 231: enough signal without eating the budget
  • +4Structure: 9 headings
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This skill is a disclosed MeiGen image and video workflow helper with cloud/OAuth access that is proportionate to its stated purpose.
LLM: benign (high) · VirusTotal: · 10 Oct 2026