SKILLEMALL.ai

BC sexy-Claw

🦞 色😍龙虾 - 根据主人审美偏好,在多个平台(小红书、抖音、YouTube、B站)搜索并推荐颜值博主/视频。 自动获取用户cookies,学习主人喜好,推送个性化内容。 使用场景: - 主人说"找美女/小姐姐/颜值博主" - 主人提到特定平台(小红书/抖音/YouTube/B站) - 主人给出审美偏好(如"喜欢 habin/leeesovely 这种类型") - 主人要求"推荐类似 XXX 的博主" 触发词:找美女、搜小姐姐、颜值博主、推荐博主、habin、leeesovely、 小红书美女、抖音美女、B站小姐姐、YouTube美女、色龙虾

ClawHub Agent Skills author: deanzh0912 v1.0.0 MIT-0 8 files body ≈ 538 tokens Open the sourceclawhub.ai analyzed 4 d ago

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

ReferenceYouTubeMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
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: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • 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. 8 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 538 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -31 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 283: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 8 items
  • +4Has examples (11 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
The skill is a disclosed recommendation/search helper, but it asks users to store live social-media cookies and includes unsafe shell execution paths that could run unintended local commands.
LLM: suspicious (high) · VirusTotal: · 29 May 2026