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BC tv-launcher-prototype

生成 Smart TV Launcher 风格的纯前端原型界面（HTML/CSS/JavaScript）。模拟电视桌面的交互体验，包括遥控器方向键导航、焦点缩放动画、深色主题等 TV UI 特有的设计模式。当用户提到"TV 界面"、"电视桌面"、"TV Launcher"、"电视 UI"、"遥控器交互"、"智能电视原型"、"TV 原型"、"电视应用界面"、"OTT 界面"、"机顶盒界面"、"大屏界面"、"10-foot UI"，或者需要生成任何面向电视/大屏设备的前端界面原型时，都应该触发这个技能。即使用户只是说"做一个电视上的 XX 页面"或"帮我设计一个 Launcher"，也要使用这个技能。

ClawHub Agent Skills author: Pixelyes v1.0.1 MIT-0 3 files body ≈ 885 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

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

ProcedureSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
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
  • 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: 2. 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. 58 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 885 tokens
  • 100Running it twice. No mutating operations
  • 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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 7 example trigger phrases
  • +3Description length 302: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 58 items

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

External checks

ClawHub: clean
This is an instruction-only skill for generating Smart TV-style frontend prototypes, with no evidence of sensitive access, hidden execution, or persistence.
LLM: benign (high) · VirusTotal: · 29 May 2026