AC xiaohongshu-creator
小红书爆款内容全自动创作助手，专注「时尚穿搭与新中式美学」赛道。 自动完成素材收集、选题筛选、文案生成、AI配图（通义万相）、本地归档的完整流程。 Use when: 用户说"创作小红书"、"收集素材"、"根据XXX创作"，或需要批量生成小红书图文笔记。 NOT for: 其他平台（抖音/微博）的内容创作，也不用于分析已发布笔记的数据表现。
As a process C 53/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, consistency
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: 8. 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 53/100
- 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
- 40Consistency. Frontmatter name (xiaohongshu-creator) differs from the folder (rn-skills-tywx)
- 50When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 100Steps. 37 steps
- 100Execution cost. Instruction body is 521 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
- +5Description has no quoted example phrases that should trigger the skill
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 171: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 37 items
- +3Output format is stated explicitly
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.
External checks
ClawHub: suspicious
The skill’s content-creation purpose is coherent, but its image helper script uses under-scoped shell execution, reads a shell profile for credentials, and can run hard-coded paid image generation outside the documented workflow.
LLM: suspicious (high) · VirusTotal: · 29 May 2026