AC ljh-xhs
小红书图文爆款拆解器。拿到一条小红书图文样本，先判断样本等级（能不能拆），再按用户链路拆封面、图文承接、爆款因子、成立机制、变量分层，最后给出受控变体迁移方案。 触发方式：/ljh-xhs、「帮我拆一条小红书爆款」「这条图文笔记为什么能卖」「小红书图文怎么复刻」「这张封面为什么点击高」 Xiaohongshu (RED) viral image-text post decomposer. Given a sample post, judge whether it is even decomposable, then break down cover, page 2-5 handoff, viral factors and mechanism, variable layering, and produce a controlled-variant migration plan. Trigger: /ljh-xhs, "break down this Xiaohongshu viral post", "why does this post convert", "how do I replicate this RED post" 不要在拆解抖音视频、公众号文章等非小红书图文场景自动触发。
小红书图文爆款拆解器。拿到一条小红书图文样本，先判断样本等级（能不能拆），再按用户链路拆封面、图文承接、爆款因子、成立机制、变量分层，最后给出受控变体迁移方案。 触发方式：/ljh-xhs、「帮我拆一条小红书爆款」「这条图文笔记为什么能卖」「小红书图文怎么复刻」「这张封面为什么点击高」 Xiaohongshu…
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "slug"
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. 45 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2063 tokens
- 100Running it twice. No mutating operations
- low 15 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
- +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
- +5Description quotes 3 example trigger phrases
- +3Description length 549: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 45 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.