SKILLEMALL.ai

AC wangxiaobo-style

王小波杂文风格写作助手。基于《我的精神家园》45篇杂文的深度分析,提炼出逻辑性、趣味性、幽默感三大核心及七种可套用技法。触发词:王小波风格、小波风格、王小波式、wangxiaobo style、幽默杂文、逻辑推演、归谬法、杂文体、科普写作、趣味写作、花剌子模信使。 适用场景:学术内容通俗化改写、科普文章创作、杂文写作、需要逻辑推演和幽默表达的文本、分析或模仿王小波文风的中文写作任务。 A Chinese essay writing skill that replicates the style of Wang Xiaobo, known for rigorous syllogistic reasoning, intellectual playfulness, and deadpan humor. Trigger on: 王小波, xiaobo, Chinese essay style, logical deduction writing, humorous prose.

ClawHub Agent Skills author: roberning v1.0.2 MIT-0 3 files body ≈ 1 650 tokens Open the sourceclawhub.ai analyzed 12 h ago

王小波杂文风格写作助手。基于《我的精神家园》45篇杂文的深度分析,提炼出逻辑性、趣味性、幽默感三大核心及七种可套用技法。触发词:王小波风格、小波风格、王小波式、wangxiaobo style、幽默杂文、逻辑推演、归谬法、杂文体、科普写作、趣味写作、花剌子模信使。…

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorWriting and documentsResearchtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
57/100
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

The same skill appears in 1 more place: ClawHub

How to improve

    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

    • note frontmatter-key unknown frontmatter key "agent_created"

    Process rating: all ten parameters 57/100

    • 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
    • 30Running it twice. 5 mutating operations with no state check
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 32 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1650 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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 441: enough signal without eating the budget
    • +4Structure: 24 headings
    • +3Step-by-step instructions: 32 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This is a text-only Chinese writing-style skill with no executable code, network access, credential use, persistence, or hidden system behavior.
    LLM: benign (high) · VirusTotal: · 1 Jun 2026