SKILLEMALL.ai

BC meitu-skills

Root entry skill for Meitu capabilities. Routes requests to scene skills (meitu-poster, meitu-stickers, meitu-visual-me, meitu-product-swap, meitu-video-dance, meitu-upscale, meitu-product-view, meitu-image-fix, meitu-id-photo, meitu-cutout, meitu-carousel, meitu-beauty, meitu-image-adapt) or meitu-tools for direct Meitu CLI tool execution.

ClawHub Agent Skills author: dongjie-oss v1.0.0 MIT-0 55 files body ≈ 1 930 tokens Open the sourceclawhub.ai analyzed 2 d ago

Root entry skill for Meitu capabilities.

As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, consistency

IntegrationMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
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: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "requirements"

Process rating: all ten parameters 54/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 40Consistency. Frontmatter name (meitu-skills) differs from the folder (other-openclaw-skills)
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 89 steps, 3 vague phrases
  • 100Failures and branches. 2 branches, has a failure section
  • 100Execution cost. Instruction body is 1930 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 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)
  • +3Output format is not stated: the model decides each time
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 342: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 89 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
This Meitu image skill pack mostly matches its stated purpose, but it asks users to share API secrets in chat and has under-disclosed privacy/persistence behavior around personal photos, memory, and profile data.
LLM: suspicious (high) · VirusTotal: · 13 Jun 2026