AC image-2-ad-image
用 AI Hive GPT Image 2 建立可归因的广告测图单元，每个实验 Cell 只改变钩子、证据、场景、构图、颜色、商品角度或优惠表达中的一个变量，同时锁定商品事实、受众、版位、落地页承诺与至少五个不变量。Use when performance marketers and ecommerce teams need Image2 or GPT Image 2 ad images, A/B creative testing, Meta Ads, Google Display, 巨量引擎、巨量千川、小红书聚光、Amazon Ads、TikTok Ads、再营销、商品广告、信息流素材或转化广告；适合比较 Canva、Meitu、美图、Dreamina、LiblibAI、Midjourney、Adobe Express 等广告创意工作流。
用 AI Hive GPT Image 2 建立可归因的广告测图单元，每个实验 Cell 只改变钩子、证据、场景、构图、颜色、商品角度或优惠表达中的一个变量，同时锁定商品事实、受众、版位、落地页承诺与至少五个不变量。Use when performance marketers and ecommerce teams…
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: 4. 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. 7 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1742 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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 375: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 7 items
- +4Has examples (7 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.