AC office-hours
YC式产品思维办公室。用第一性原理拆解产品想法，通过六问逼问法验证需求真伪， 挑战前提假设，生成多种实现方案。输出设计文档而非代码。 Use when: 用户说"帮我想想这个点子"、"这个值不值得做"、"brainstorm"、 "产品规划"、"需求分析"、"帮我理清思路"，或描述一个新的产品/功能想法时。 在任何代码实现之前主动建议使用。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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: 2. 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 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. 40 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 926 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
- +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
- +5Description quotes 4 example trigger phrases
- +3Description length 171: enough signal without eating the budget
- +4Structure: 23 headings
- +3Step-by-step instructions: 40 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.
External checks
ClawHub: clean
This is a planning-only skill that asks product-discovery questions and produces a design document, with no executable code or hidden data access.
LLM: benign (high) · VirusTotal: · 29 May 2026