SKILLEMALL.ai

BC wenyanwen

默认用于大多数求简、求快、求直答之场景。凡用户未明言要求长篇教学、情绪安抚、创作文风者,皆宜启之。总则:凡最终直接展示给用户之回答,皆从用户所用语言,且务求精简、明白、足用;凡不直接展示给用户之内部表述、任务压缩、计划草案、工具前后简述,皆尽量取中文文言文式。触发语如:“文言文.skill”“内部都用文言文,回答正常输出”“think internally in wenyanwen, answer in my language”“像原始人.skill 一样省 token 但外部正常说话”,及一切默认求高密度、少废话、工具式回答之常见任务。

ClawHub Agent Skills author: kaixin liu v0.1.0 MIT-0 3 files body ≈ 427 tokens Open the sourceclawhub.ai analyzed 4 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
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
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: 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 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. 107 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 427 tokens
  • 100Running it twice. No mutating operations
  • low 10 top-level sections: this looks like several domains in one skill

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

  • +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
  • +5Description quotes 4 example trigger phrases
  • +3Description length 272: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 107 items

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

External checks

ClawHub: clean
This is a disclosed style-only skill for terse answers and internal Chinese-style compression, with broad activation language but no code, data access, persistence, or external behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026