SKILLEMALL.ai

BC skill-2

根據用戶提供的「寫作風格描述」與「指定的生成內容」,分析該寫作風格並依此撰寫一篇符合要求的文章。用戶必須提供以下五項資訊:1.用詞偏好 2.句式習慣 3.結構特點 4.語氣風格 5.指定的生成內容(主題/用途)。務必在以下情況觸發此技能:用戶輸入 /skill-2、$skill-2、skill-2;用戶提供一組風格描述(涵蓋用詞、句式、結構、語氣等要素)並要求依此寫一篇文章、文案、報告或其他內容;用戶說「照這個風格幫我寫一篇……」且附上風格說明而非原文範文(若用戶是提供原文範文要求分析或仿寫,應改用 skill-1)。這是一個強制檢查型技能:若用戶提供的五項資訊中有任何一項缺失或不明確,必須暫停後續的分析與生成,明確列出缺少的項目並重新詢問用戶補充,絕不可用臆測或預設值代替缺失的資訊直接生成內容。

ClawHub Agent Skills author: AwwSunny v1.0.0 MIT-0 2 files body ≈ 622 tokens Open the sourceclawhub.ai analyzed 5 d ago

As a process C 53/100 · Has gaps — 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
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
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: 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")

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. 24 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 622 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
  • -5Name "skill-2" says nothing about the task
  • +1No license
  • +2Single-language instructions
  • +3Description length 353: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 24 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: clean
This skill is a straightforward writing helper that asks for style details before generating user-requested text.
LLM: benign (high) · VirusTotal: · 30 Aug 2026