AC xiaohongshu-writing
小红书爆款内容写作助手，帮助生成高点击率、**像人写**的笔记。包含去AI味检查、7种标题公式、5种开头模板、3种结尾模板、SEO优化。Use when user wants to write XiaoHongShu content, generate viral post titles, or needs help with RedNote writing. Trigger on: 写小红书笔记、小红书文案、爆款标题、种草笔记、学习日记、干货分享。
小红书爆款内容写作助手，帮助生成高点击率、像人写的笔记。包含去AI味检查、7种标题公式、5种开头模板、3种结尾模板、SEO优化。Use when user wants to write XiaoHongShu content, generate viral post titles, or needs help…
As a process C 59/100 · 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: 1. 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 59/100
- 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
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Steps. 29 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1591 tokens
- 100Running it twice. No mutating operations
- low 12 top-level sections: this looks like several domains in one skill
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
- -228 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 227: enough signal without eating the budget
- +4Structure: 54 headings
- +3Step-by-step instructions: 29 items
- +4Has examples (28 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.