AD guaikei-xhs-public-notes-data
按关键词搜索小红书公开笔记，支持按点赞/评论/收藏排序与时间筛选，返回笔记列表与互动数据。当用户想做小红书选题调研、找高赞爆款、看某关键词最近热度、或对比多个关键词表现时使用本技能；即使用户只说"最近什么火""帮我找热门内容"而没点名小红书，只要语境是社媒内容挖掘也适用。不用于其他平台或需登录的内容。
按关键词搜索小红书公开笔记，支持按点赞/评论/收藏排序与时间筛选，返回笔记列表与互动数据。当用户想做小红书选题调研、找高赞爆款、看某关键词最近热度、或对比多个关键词表现时使用本技能；即使用户只说"最近什么火""帮我找热门内容"而没点名小红书，只要语境是社媒内容挖掘也适用。不用于其他平台或需登录的内容。
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 24. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "name_cn"
Process rating: all ten parameters 46/100
- 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
- 60Tools and files. Uses tools (node) that frontmatter does not declare
- 100Steps. 8 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1403 tokens
- 100Running it twice. No mutating operations
- low 14 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
- +2Single-language instructions
- +3Description length 151: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 8 items
- +4Has examples (8 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.