AC juhe-ai-image-generate-a2a
聚合数据提供的AI图像创作服务技能，本技能使用无需用户注册聚合数据平台，安装后即可按实际付费使用。 本技能是根据文本描述（prompt）生成具有特定风格、场景和氛围的图像，并自动下载保存的支付宝AI付付费技能。本技能基于 A2M（HTTP 402）收单协议。当用户需要生成图像的时候，调用本技能，并通过本 Skill 向卖家服务端发起请求，完成支付后获取相关结果。 使用场景：用户说"帮我生成一张猫咪在草地上玩耍的图片"、"画一幅水墨风格的山水画"、"生成一张16:9的科技感壁纸"、"创作一张新年祝福海报"、"用AI画一张小狗钓鱼的图"等。
聚合数据提供的AI图像创作服务技能，本技能使用无需用户注册聚合数据平台，安装后即可按实际付费使用。 本技能是根据文本描述（prompt）生成具有特定风格、场景和氛围的图像，并自动下载保存的支付宝AI付付费技能。本技能基于 A2M（HTTP 402）收单协议。当用户需要生成图像的时候，调用本技能，并通过本 Skill…
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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: 2. 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 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. 37 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 908 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 5 example trigger phrases
- +3Description length 271: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 37 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.