SKILLEMALL.ai

BD yq-xiaohongshu-collector

专业的小红书平台信息采集助手。当用户需要从小红书搜索和收集特定主题的笔记内容、评论、图片信息时使用。能够进行多轮关键词搜索、浏览完整笔记内容(包括所有图片和评论),并将原文完整记录整理成结构化文档。触发关键词: 小红书, xiaohongshu, RED, 笔记采集, 小红书搜索

ClawHub Agent Skills author: tianheihei002 v1.0.0 MIT-0 3 files body ≈ 1 012 tokens Open the sourceclawhub.ai analyzed 2 d ago

专业的小红书平台信息采集助手。当用户需要从小红书搜索和收集特定主题的笔记内容、评论、图片信息时使用。能够进行多轮关键词搜索、浏览完整笔记内容(包括所有图片和评论),并将原文完整记录整理成结构化文档。触发关键词: 小红书, xiaohongshu, RED, 笔记采集, 小红书搜索

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

Proceduretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
D
46/100
Unfinished process
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: 3. 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 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 (web) that frontmatter does not declare
  • 100Steps. 78 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1012 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 140: enough signal without eating the budget
  • +4Structure: 29 headings
  • +3Step-by-step instructions: 78 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
This skill is not malware, but it is a bulk Xiaohongshu scraping workflow that pushes agents to copy complete posts, images, usernames, and comments with little privacy scoping.
LLM: suspicious (high) · VirusTotal: · 7 Jun 2026