AC wechat-mp-formatter
公众号(WeChat Official Account)排版工具：将文章转换成可一键复制、直接粘贴进公众号编辑器并保留全部样式的 HTML。内置音乐卡片、歌词引用块、高亮块、金句块、互动引导等组件，默认暖色调配色，特别适合歌曲/音乐/怀旧/生活方式类内容；其他类型也可用，但配色与组件通常需微调。WeChat MP Formatter: turns articles into self-contained HTML that keeps all styling when pasted into the MP editor. Ships music cards, lyric quote blocks, highlight boxes, key-sentence blocks and interactive prompts with a warm-tone palette tuned for songs/music/nostalgia/lifestyle; other topics work too but may need palette/component tweaks.
公众号(WeChat Official Account)排版工具：将文章转换成可一键复制、直接粘贴进公众号编辑器并保留全部样式的 HTML。内置音乐卡片、歌词引用块、高亮块、金句块、互动引导等组件，默认暖色调配色，特别适合歌曲/音乐/怀旧/生活方式类内容；其他类型也可用，但配色与组件通常需微调。WeChat MP…
As a process C 56/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
- 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: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 56/100
- 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
- 30Running it twice. 5 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 100Tools and files. No external tools needed
- 100Steps. 44 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2040 tokens
- 100Progress reporting. Reports progress
- low 10 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (9 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
- +1No license
- +2Single-language instructions
- +3Description length 492: enough signal without eating the budget
- +4Structure: 26 headings
- +3Step-by-step instructions: 44 items
- +4Has examples (8 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.