SKILLEMALL.ai

AD pangea-prototype

快速生成基于 Arco Design Vue + Pangea 3 Linear 主题的完整前端原型工程,可直接 npm install && npm run dev 运行,用于需求对齐和演示。全部使用 mock 数据,不生成后端代码。当用户提到"生成原型"、"做个 demo"、"快速出个页面"、"需求对齐"、"原型演示"、"做个列表页"、"做个表单页"、"做个管理后台页面"、"帮我实现一个 XX 页面",或者任何需要快速生成 Vue 3 + Arco Design 前端界面的场景,都应该触发这个技能。即使用户只是说"帮我做个 XX 功能的页面"或"出个 XX 的界面",也要使用这个技能。

ClawHub Agent Skills author: Pixelyes v1.0.2 MIT-0 15 files · 1 script body ≈ 3 225 tokens Open the sourceclawhub.ai analyzed 3 d ago

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

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
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
  • 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: 14. 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 (bash, node) that frontmatter does not declare
  • 100Steps. 41 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3225 tokens
  • 100Running it twice. No mutating operations
  • low 11 top-level sections: this looks like several domains in one skill
  • medium 3 test cases, all positive: not one "should refuse" or "should ask first"

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
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +3Description length 298: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 41 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

External checks

ClawHub: clean
This is a disclosed local Vue prototype generator that creates a demo workspace, installs normal frontend dependencies, and starts a local dev server.
LLM: benign (high) · VirusTotal: · 29 May 2026