AD generate-amazon-image-set
规划亚马逊商品套图、编写逐版位生成说明，并在 Agent 能力允许时生成和验收 MAIN 主图、Listing 附属图、Standard/Premium A+ 及 PC/Mobile 配对图。用于产品事实锁、尺寸与多端一致性检查、缺失证据识别和成图审核；不依赖特定模型、脚本或运行环境。Plan and prompt Amazon image sets, and generate or review them when the active Agent has the required image capabilities.
规划亚马逊商品套图、编写逐版位生成说明，并在 Agent 能力允许时生成和验收 MAIN 主图、Listing 附属图、Standard/Premium A+ 及 PC/Mobile 配对图。用于产品事实锁、尺寸与多端一致性检查、缺失证据识别和成图审核；不依赖特定模型、脚本或运行环境。Plan and prompt…
As a process D 46/100 · Unfinished process — 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: 10. 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 46/100
- 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
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 52 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 920 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
- +4No input/output examples
- +2Single-language instructions
- +3Description length 264: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 52 items
- +4Reference files are cited in the instructions (6 of 6)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.