SKILLEMALL.ai

BC xhs-data-api

深度解读小红书CES算法+流量池机制,分析爆款笔记规律,监控竞品策略。提供10种高点击标题公式、标签组合策略、分品类基准、30天提升计划,用数据驱动运营。 触发词:小红书数据、笔记分析、爆款分析、竞品监控、小红书运营、小红书算法、CES评分、笔记优化、小红书涨粉、互动率、收藏率、小红书SEO、标签策略、小红书复盘 排除:小红书内容创作(用xiaohongshu-copywriter)、其他平台分析

ClawHub Agent Skills author: qqyougitcom v1.3.1 MIT-0 6 files body ≈ 200 tokens Open the sourceclawhub.ai analyzed 16 h ago

深度解读小红书CES算法+流量池机制,分析爆款笔记规律,监控竞品策略。提供10种高点击标题公式、标签组合策略、分品类基准、30天提升计划,用数据驱动运营。 触发词:小红书数据、笔记分析、爆款分析、竞品监控、小红书运营、小红书算法、CES评分、笔记优化、小红书涨粉、互动率、收藏率、小红书SEO、标签策略、小红书复盘…

As a process C 57/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

IntegrationWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
C
57/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
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: 1. 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 57/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (xhs-data-api) differs from the folder (qqyougitcom-xhs-data-api)
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 100Steps. 20 steps
  • 100Execution cost. Instruction body is 200 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)
  • +4No input/output examples
  • -42 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +3Description length 200: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 20 items
  • +3Output format is stated explicitly

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
The skill appears to be a purpose-aligned Xiaohongshu marketing analysis helper, with privacy and trigger-scope documentation gaps but no evidence of malicious behavior.
LLM: benign (medium) · VirusTotal: · 16 Jun 2026