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BF mxai

mxai 创作助手，聚合多种 AI 图片和视频生成模型，以及 MJ（MidJourney）绘画。关键词：AI绘画、图片生成、视频生成、AI创作、mxai、MJ、MidJourney

ClawHub Agent Skills author: tianheihei002 v1.0.0 MIT-0 3 files · 1 script body ≈ 3 020 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 42/100 · Will not run — References files that are not bundled: 真实URL, URL

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
54
Run on models
none yet
Process rating
F
42/100
Will not run
References files that are not bundled: 真实URL, URL
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
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.
  2. 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: 3. 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")
  • warning missing-ref reference to a missing file: 真实URL
  • warning missing-ref reference to a missing file: URL

Process rating: all ten parameters 42/100

Will not run. References files that are not bundled: 真实URL, URL
  • 0Tools and files. 2 referenced file(s) missing: 真实URL, URL
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 65Failures and branches. 3 branches
  • 100Steps. 75 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3020 tokens
  • 100Running it twice. No mutating operations
  • low 12 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)
  • +3Description length 90: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -212 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 40 headings
  • +3Step-by-step instructions: 75 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 54.

External checks

ClawHub: suspicious
The skill matches its AI image/video generation purpose, but users should review it because failures can print overly detailed logs that may expose prompts, image references, or service metadata.
LLM: suspicious (high) · VirusTotal: · 29 May 2026