SKILLEMALL.ai

BF local-image-generation

本地文生图、AI画图、生成图像、画一张图、帮我画、生成图片、创作图像、制作一幅图、 图像生成、文字生成图片、AI绘画、画个XX、我想要一张XX的图、本地生图、离线生图。 generate an image, create a picture, draw something, make an image of, text to image, paint a picture, illustrate, visualize, local image generation, AI art, image synthesis. 使用 Z-Image-Turbo 模型在本机 Windows 离线运行,支持中英双语提示词, 自动优先 Intel iGPU 推理,无需联网,不调用任何云端 API。

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 3 files body ≈ 4 526 tokens Open the sourcegithub.com analyzed 2 d ago

本地文生图、AI画图、生成图像、画一张图、帮我画、生成图片、创作图像、制作一幅图、 图像生成、文字生成图片、AI绘画、画个XX、我想要一张XX的图、本地生图、离线生图。 generate an image, create a picture, draw something, make an image of…

As a process F 26/100 · Will not run — References files that are not bundled: .*?

GeneratorSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
F
26/100
Will not run
References files that are not bundled: .*?
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: .*?

Process rating: all ten parameters 26/100

Will not run. References files that are not bundled: .*?
  • 0Tools and files. 1 referenced file(s) missing: .*?
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 7 mutating operations with no state check
  • 40Consistency. Frontmatter name (local-image-generation) differs from the folder (ov-local-image-gen)
  • 70Execution cost. Instruction body is 4526 tokens
  • 100Steps. 5 steps
  • low 11 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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -239 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 343: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 5 items
  • +4Has examples (27 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.