BB decision-helper
🎯 The Ultimate Decision Weapon | 终极决策武器 Stop overthinking. Start deciding. 停止过度思考，开始果断决策。 Your AI-powered decision-making system that cuts through noise, weighs trade-offs, and delivers clarity in 30 seconds. 你的AI决策系统，穿透噪音、权衡利弊、30秒给出清晰答案。 Auto-triggers on life-changing choices (career, investments, relationships) and hesitation signals. 在改变人生的选择（职业、投资、关系）和犹豫信号时自动触发。
As a process B 68/100 · Nearly there — weak spots: inputs and preconditions, failures and branches, progress reporting
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 68/100
- 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
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Steps. 11 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 713 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)
- -224 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 373: enough signal without eating the budget
- +4Structure: 23 headings
- +3Step-by-step instructions: 11 items
- +3Output format is stated explicitly
- +4Has examples (7 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.