SKILLEMALL.ai

BC wangxiaobo-style

Wang Xiaobo (王小波) Chinese essay writing style assistant. Based on deep analysis of 45 essays from "My Spiritual Homeland". Teaches syllogistic reasoning, reductio ad absurdum, and deadpan humor in Chinese writing. Trigger on: 王小波, wangxiaobo, Chinese essay style, logical writing.

ClawHub Agent Skills author: roberning v1.0.0 MIT-0 3 files body ≈ 263 tokens Open the sourceclawhub.ai analyzed 31 h ago

Wang Xiaobo (王小波) Chinese essay writing style assistant.

As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
C
52/100
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

    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 frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Wang Xiaobo (王小波) Chinese essay writing style assistant. Based on … ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
    • note frontmatter-key unknown frontmatter key "agent_created"

    Process rating: all ten parameters 52/100

    • 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. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (wangxiaobo-style) differs from the folder (wangxiaobo-essay)
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 11 steps
    • 100Execution cost. Instruction body is 263 tokens

    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
    • +1No license
    • +2Single-language instructions
    • +3Description length 280: enough signal without eating the budget
    • +4Structure: 5 headings
    • +3Step-by-step instructions: 11 items
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

    External checks

    ClawHub: clean
    This is a text-only Chinese writing-style assistant, and the only notable issues are possible over-broad activation or unexpected Chinese-style output in ambiguous writing requests.
    LLM: benign (high) · VirusTotal: · 1 Jun 2026