SKILLEMALL.ai

AC teaching-app-builder

把一段教学文本/知识点/讲义/概念做成单文件 HTML 交互教学展示 app。当用户想把内容做成网页演示、交互课件、可视化讲解、教学 demo、HTML 展示页,或想用 Chart.js/ECharts 图表、Mermaid 流程图、KaTeX/MathJax 公式、SVG 示意图、交互动画把某个知识点讲清楚时使用。产出单个 .html 文件(浏览器双击即开、无需服务器或构建),库通过中国大陆可访问的 CDN(BootCDN/staticfile/360/npmmirror)引用,内置 6 套专业配色方案。即使用户只说"做个网页/做个演示/可视化一下这段内容/把这章做成交互的"而没有明说"教学 app",只要意图是把知识内容做成可交互的展示页面,也应使用本 skill。

ClawHub Agent Skills author: John Do v1.0.0 MIT-0 7 files body ≈ 750 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 58/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureLearningInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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: 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")

Process rating: all ten parameters 58/100

  • 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
  • 50Failures and branches. 0 branches, has a failure section
  • 100Tools and files. No external tools needed
  • 100Steps. 15 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 750 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 339: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 15 items
  • +4Reference files are cited in the instructions (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This skill is a local teaching-page generator with disclosed HTML output and CDN use, with some ordinary caution needed around broad activation and unsafe Markdown examples.
LLM: benign (high) · VirusTotal: · 28 May 2026