SKILLEMALL.ai

CD xiaohongshu-prohibited-word

检测文案、文件或网页中的小红书违禁词并加粗显示,提供违禁词替换建议和仅替换违禁词后的文案;当用户需要查询小红书平台违禁词、检查小红书笔记文案是否包含敏感词、或希望获得安全替换词和修改后文案时使用。

ClawHub Agent Skills author: if530770 v1.0.6 MIT-0 6 files · 1 script body ≈ 1 445 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

检测文案、文件或网页中的小红书违禁词并加粗显示,提供违禁词替换建议和仅替换违禁词后的文案;当用户需要查询小红书平台违禁词、检查小红书笔记文案是否包含敏感词、或希望获得安全替换词和修改后文案时使用。

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationWordPlaywrightSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
D
41/100
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: 6. 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")
  • note frontmatter-key unknown frontmatter key "dependency"

Process rating: all ten parameters 41/100

  • 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
  • 40Consistency. Frontmatter name (xiaohongshu-prohibited-word) differs from the folder (xhs-prohibited-word)
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 33 steps
  • 100Execution cost. Instruction body is 1445 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)
  • +3Description length 98: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -224 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 33 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
This Xiaohongshu checker is mostly purpose-aligned, but it needs Review because it can read shell startup files for credentials, fetch arbitrary URLs from the host network, send checked content to RedFox, and create local output files.
LLM: suspicious (high) · VirusTotal: · 16 Sept 2026