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BC article-cover-designer

极简高效的文章与视频封面设计技能。根据输入文章或视频字幕文件自动提炼200字核心摘要、推算受众群体、默认输出微信公众号标准 2.35:1 超宽画幅封面（兼顾X 5:2与安全留白），或按需匹配小红书(3:4)、B站/YouTube/短视频(16:9/9:16)场景；深度协同全库 365 种视觉风格与36种经典配色；视频封面模式自动注入“视频封面设计，网感强，吸引人眼球”，并结合“先设计隐喻再出图，主标题明显，小字少或者没有小字”核心指令，一键输出高质量结构化封面生图提示词。

yang0/handraw-style Agent Skills author: yang0 1 file body ≈ 1 131 tokens Open the sourcegithub.com↗ analyzed 2 h ago

极简高效的文章与视频封面设计技能。根据输入文章或视频字幕文件自动提炼200字核心摘要、推算受众群体、默认输出微信公众号标准 2.35:1 超宽画幅封面（兼顾X 5:2与安全留白），或按需匹配小红书(3:4)、B站/YouTube/短视频(16:9/9:16)场景；深度协同全库 365…

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

ProcedureYouTubeWriting and documentsMedia and videotype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
B
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
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: 1. 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. 23 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1131 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
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 238: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 23 items
  • +4Has examples (5 code blocks)

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