SKILLEMALL.ai

BD mood-sticker

对话情绪感知表情包技能。根据对话上下文的情绪和状况,自动选择合适的关键词搜索表情包并展示。当此技能被加载时,说明语境适合发表情——主动发一张。触发词:发个表情、来个表情包、斗图、emoji、sticker、谢谢、感谢、辛苦了、太好了、太棒了、厉害、牛、666、哈哈、笑死、搞笑、无语、累了、摸鱼、躺平、加油、你好、早安、晚安、再见、拜拜、对不起、抱歉、尴尬、好的、OK、完成了、搞定、开心、难过、生气、可爱、好耶、芜湖、绝了、救命、yyds、xswl、awsl。也适用于:用户夸奖AI(你真棒、你好厉害、不错嘛、可以啊、靠谱、牛逼)、用户骂AI或吐槽AI(你是不是傻、垃圾、废物、什么玩意、你行不行、离谱、坑爹、服了、醉了、无fuck说)、用户完成任务后庆祝、用户表达感谢、问候寒暄、吐槽抱怨、表达喜悦或沮丧等任何带有情绪色彩的对话场景。

ClawHub Agent Skills author: sanle v1.0.3 2 files body ≈ 443 tokens Open the sourceclawhub.ai analyzed 3 d ago

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

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
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: 2. 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 "always"

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 (mood-sticker) differs from the folder (sticker)
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 22 steps
  • 100Execution cost. Instruction body is 443 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 369: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 22 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: clean
This sticker skill is broad and always-on, but its behavior is disclosed, limited to fetching and sending stickers, and does not show hidden access, credential use, or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026