SKILLEMALL.ai

BC blx-lobster-sticker

OpenClaw专属小龙虾🦞(crayfish)主题表情包技能。由白灵汐(BLX)创作。生成统一风格的卡通小龙虾LINE贴纸表情包,共38种情绪表情和2种物品表情,适用于对话机器人、客服AI、聊天助手等场景。当用户表达各种情绪(开心、难过、生气、惊讶、感动、尴尬、爱意、酷帅、困倦、害羞、得意、疑惑、惊恐、无语、奸笑、调侃、社会、吃瓜、发怒、撇嘴、微笑、呆住、抓狂、偷笑、白眼、憨笑、悠闲、叹气、再见、加油、耶、OK、拳头、拥抱等)时,自动发送对应的小龙虾表情包图片。物品表情(爱心、心碎)也可用。

ClawHub Agent Skills author: Gui-GitAi v1.0.1 MIT-0 5 files body ≈ 587 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 53/100 · Has gaps — 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
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: 5. 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 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. 5 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 587 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 250: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 5 items
  • +4Has examples (1 code blocks)

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

External checks

ClawHub: clean
This is a low-risk instruction-only sticker skill that maps chat emotions to local image files, though it may send stickers unexpectedly on common phrases.
LLM: benign (high) · VirusTotal: · 29 May 2026