SKILLEMALL.ai

AD html-code-painting

用纯代码(HTML、SVG、Canvas、CSS)进行绘画创作,高度还原指定原画作或按文字描述作画。当用户要求画一幅画、临摹或还原某幅名画(如千里江山图、星空、富春山居图)、用代码生成艺术插画、制作水墨/油画/浮世绘/像素风/扁平风等风格的画作网页,或将图片转化为可交互 HTML 画面时使用本技能。产出为可直接打开的 .html 单文件,不依赖 AI 绘图 API,全部由代码绘制,可缩放可交互。

ClawHub Agent Skills author: Eric JIE v1.0.2 MIT-0 11 files body ≈ 1 081 tokens Open the sourceclawhub.ai analyzed 2 d ago

用纯代码(HTML、SVG、Canvas、CSS)进行绘画创作,高度还原指定原画作或按文字描述作画。当用户要求画一幅画、临摹或还原某幅名画(如千里江山图、星空、富春山居图)、用代码生成艺术插画、制作水墨/油画/浮世绘/像素风/扁平风等风格的画作网页,或将图片转化为可交互 HTML…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
D
46/100
Unfinished process
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: 11. 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 46/100

  • 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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 31 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1081 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 199: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 31 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This skill is a coherent local HTML artwork helper with expected code-generation and preview utilities, and I found no hidden persistence, credential access, network exfiltration, or destructive behavior.
LLM: benign (high) · VirusTotal: · 28 Aug 2026