SKILLEMALL.ai

BC sketch-illustration

插画图片生成技能,支持多种手绘风格。适合流程图、功能说明、PPT配图、教程配图、知识图和手绘信息图等场景。支持五种风格:A) Sketch 极简手绘风(Notion/Linear 风格,简笔人物,冷淡低饱和);B) Watercolor 奶油彩铅水彩风(暖色调,纸纹彩铅,适合PPT讲义);C) Flat Vector Retro 扁平矢量复古风(黑色轮廓线,几何简化,复古配色,适合NotebookLM PPT/课程封面);D) Doodle Infographic 白纸手绘知识图风(白纸背景、拟人角色、高信息密度、手账/课堂板书感,适合概念对比、方法论、拖延机制、知识卡片);E) NotebookLM Tech 技术图解风(低饱和莫兰迪色系、扁平2.5D插画、模块化布局、中等信息密度,适合产品功能介绍、流程说明、概念图解)。生成后自动上传发送到飞书。当用户要求生成插画、配图、手绘风格图、流程示意图、产品插图、PPT配图、知识图、信息图、手绘知识海报时触发此技能。

ClawHub Agent Skills author: dadaniya99 v1.2.0 MIT-0 26 files · 2 scripts body ≈ 488 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureNotionDesignInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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: 26. 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")

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 24 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 488 tokens
  • 100Running it twice. No mutating operations

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
  • -32 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 437: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 24 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (6 of 12)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
This skill is an illustration generator, but it uses shared local credentials and can automatically send generated images to a hardcoded Feishu recipient, so users should review it before installing.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026