SKILLEMALL.ai

AC guaikei-xhs-notes-comments-creators

获取小红书公开内容数据的工具:按关键词搜索笔记、查看单篇笔记详情、拉取笔记评论、抓取博主公开作品,返回结构化 JSON 用于爆款挖掘、竞品分析、KOL 筛选与评论舆情。当用户想找小红书上的内容、分析某篇笔记或评论区、监控某个博主发文、调研关键词热度时使用本技能;即使没有明说"小红书",只要提到红笔记/xhs/rednote,或给出 xiaohongshu.com / xhslink.com 链接并想拿到内容数据,也适用。不用于登录、发布、点赞或获取私密内容。

ClawHub Agent Skills author: engheng-art v1.0.0 MIT-0 24 files body ≈ 1 475 tokens Open the sourceclawhub.ai analyzed 2 d ago

获取小红书公开内容数据的工具:按关键词搜索笔记、查看单篇笔记详情、拉取笔记评论、抓取博主公开作品,返回结构化 JSON 用于爆款挖掘、竞品分析、KOL…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureCustomer supporttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 24. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

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. 36 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1475 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
  • +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 231: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 36 items
  • +4Has examples (2 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: 77.

External checks

ClawHub: clean
This skill is a disclosed Xiaohongshu public-data lookup tool that uses a third-party API and saves results locally, with privacy considerations users should understand before use.
LLM: benign (high) · VirusTotal: · 16 Aug 2026