AC aikey-mvp
AI KEY·选题先试水 ——选题 MVP 测试技能。碎片输入（一句话想法/聊天记录/X 见闻/候选选题）→ 生成发 X 用的纯文字测试内容（篇幅不限，内容需要多长写多长，排版清晰）→ 登记测试管道 → 用真实互动数据决定该题进抖音、扩公众号还是淘汰。验证一个想法只花一条文本，不花一条真视频。 触发方式：/aikey-mvp、/发条测试、/试水、/aikey-测试、「发条推测试」「写个 X 短文」「这个想法先试试水」「值不值得拍一条」 MVP text-testing: turn a fragment into a plain-text X post (length as the idea needs, well formatted) to cheaply validate a topic before it costs a real video. Trigger: /aikey-mvp, "test this idea on X", "write a short post to validate" —— AI KEY · 不给公式，给判据。每条规则都标了实测代价。
AI KEY·选题先试水 ——选题 MVP 测试技能。碎片输入（一句话想法/聊天记录/X 见闻/候选选题）→ 生成发 X 用的纯文字测试内容（篇幅不限，内容需要多长写多长，排版清晰）→ 登记测试管道 → 用真实互动数据决定该题进抖音、扩公众号还是淘汰。验证一个想法只花一条文本，不花一条真视频。…
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName"
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 1185 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 2 example trigger phrases
- +3Description length 490: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 40 items
- +4Has examples (1 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.