AC wechat-feige-formatter
公众号排版工具。用户提供任意格式的文章内容（草稿、纯文字、已有 Markdown 均可）， AI 自动识别结构、添加排版标记，生成专业公众号 HTML。 Use when: 用户说"帮我排版"、"转成公众号格式"、"生成 HTML"；用户上传文章内容或文件 NOT for: 纯文本渲染；用户只想预览已有 HTML
As a process C 50/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
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: 9. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 50/100
- 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
- 50When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 17 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 656 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
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +4Description says when NOT to use the skill
- +3Description length 157: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 17 items
- +4Has examples (6 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 100.
External checks
ClawHub: suspicious
This looks like a WeChat article formatter, but it needs Review because its reported runtime behavior can read local image paths and generate active HTML beyond a simple static conversion.
LLM: suspicious (medium) · VirusTotal: · 9 Jul 2026