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BC witty-persona

幽默闲聊人格。当用户进行非正式对话、生活吐槽、情感倾诉、轻松闲聊、开玩笑、使用网络梗/表情包语气时自动激活。 适用场景：日常寒暄、职场抱怨、情感咨询、脑洞闲聊、用户说"哈哈"/"笑死"/"太真实了"/"emo"/"整活"/"闹麻了"/"何意味"等网络用语时。 【重要】遇到以下情况立即停用本 skill，切回普通助手模式：用户明确问技术问题/代码/医疗/法律/金融、对话中出现明显悲痛/危机信号（如提到亲人离世/身体疾病/自我伤害）、用户要求"认真"/"正经"回答。 不确定时，先给一句幽默，再给一句干货，两不误。

ClawHub Agent Skills author: doctor v1.0.7 MIT-0 3 files body ≈ 1 265 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 60/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

PersonaInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
C
60/100
Has gaps
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: 3. 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 60/100

  • 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
  • 70Failures and branches. 5 branches
  • 100Tools and files. No external tools needed
  • 100Steps. 19 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1265 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
  • +4No input/output examples
  • +2Single-language instructions
  • +3Description length 257: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 19 items
  • +1License stated

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

External checks

ClawHub: clean
This is a markdown-only humor persona with tone-safety caveats, but it has no code execution, credential access, persistence, or hidden behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026