BC article-format-lz
自媒体文章排版生成技能。当用户要求生成、创建、排版微信公众号文章或今日头条文章，或需要公众号/头条美化格式、编辑器兼容HTML时触发。支持微信公众号（23种风格配色：7种通用+8种节日+4种季节+4种主题，默认Linear冷工程蓝紫，全内联CSS）和今日头条（纯语义HTML，ProseMirror兼容）双平台自动选择。可根据用户要求、节日/季节/主题关键词或内容自动匹配平台和风格。支持标题、正文、列表、引用、提示框、数据卡片、对比栏、代码块、表格、进度条、信息卡片、键值列表等全套排版组件；宽表/长内容可自动改用信息卡片或键值列表展示。
自媒体文章排版生成技能。当用户要求生成、创建、排版微信公众号文章或今日头条文章，或需要公众号/头条美化格式、编辑器兼容HTML时触发。支持微信公众号（23种风格配色：7种通用+8种节日+4种季节+4种主题，默认Linear冷工程蓝紫，全内联CSS）和今日头条（纯语义HTML，ProseMirror兼容）双平台自动选择…
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "agent_created"
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. 65 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2890 tokens
- 100Running it twice. No mutating operations
- low The response is described with custom markup (5 tags): a typed call is more reliable
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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 270: enough signal without eating the budget
- +4Structure: 36 headings
- +3Step-by-step instructions: 65 items
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.