SKILLEMALL.ai

CD xhs-convert-url-pro

小红书笔记链接批量转链工具。当用户提到小红书、转链、链接转换、xhslink,或要求把小红书笔记链接(含短链)转换为携带xsec_token的且浏览器可以直接打开观看的新链接时使用本 skill。转链结果可直接用于「小红书社媒指数采集」skill(xhs-dpt)。收费服务(1 条 = 1 点数,注册送 10 点)。

ClawHub Agent Skills author: cuiyunhai v2.0.0 MIT-0 7 files · 4 scripts body ≈ 1 766 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

小红书笔记链接批量转链工具。当用户提到小红书、转链、链接转换、xhslink,或要求把小红书笔记链接(含短链)转换为携带xsectoken的且浏览器可以直接打开观看的新链接时使用本 skill。转链结果可直接用于「小红书社媒指数采集」skill(xhs-dpt)。收费服务(1 条 = 1 点数,注册送 10 点)。

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorAI and agentsSales and CRMDesigntype and topics are labelled automatically from the skill text
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
D
48/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
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: 7. 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 48/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
  • 100Steps. 43 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1766 tokens
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (7 tags): a typed call is more reliable

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
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 159: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 43 items
  • +4Has examples (13 code blocks)

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

External checks

ClawHub: suspicious
This is a disclosed paid Xiaohongshu link-conversion client, but it should be reviewed because it handles reusable account tokens over insecure transport and stores shared credentials locally with weak containment.
LLM: suspicious (high) · 17 Sept 2026