AB shuangwen-simulator-v1
爽文模拟器V1.0虾舍出品: a paid launcher skill for Chinese chat-native system-novel power fantasy scenarios. Use when the user wants to browse, buy, unlock, install, test, or start a paid 爽文/系统文/装逼打脸/末世囤货/重生复仇 scenario, especially when they say 开始游戏, 我来玩玩, 购买副本, 解锁剧本, 来个副本, 系统文, 爽文, 末世安全屋, 神豪系统, or 装逼打脸.
As a process B 66/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice
How to improve
- 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: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 66/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 4 mutating operations with no state check
- 70When it triggers. States when to use, but not when not to
- 70Failures and branches. 9 branches
- 100Tools and files. No external tools needed
- 100Steps. 52 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1215 tokens
- 100Progress reporting. Reports progress
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 295: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 52 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (2 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.