BF wangyin-zhongnian-cover
为公众号「网瘾中年」生成 2.35:1 横版封面提示词。基于品牌机器人 IP、工程蓝 VI 规范、NVH 频率曲线视觉符号，经过三轮问答输出可直接用于即梦/Seedream/Nano Banana/GPT-Image 等多参考图生图模型的提示词。关键词：公众号封面、提示词生成、品牌 IP、工程视觉、2.35:1。
为公众号「网瘾中年」生成 2.35:1 横版封面提示词。基于品牌机器人 IP、工程蓝 VI 规范、NVH 频率曲线视觉符号，经过三轮问答输出可直接用于即梦/Seedream/Nano Banana/GPT-Image 等多参考图生图模型的提示词。关键词：公众号封面、提示词生成、品牌 IP、工程视觉、2.35:1。
As a process F 31/100 · Will not run — References files that are not bundled: assets/robot-ip-default.png, references/style-XX-风格名.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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: 18. 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") - warning
missing-refreference to a missing file: assets/robot-ip-default.png - warning
missing-refreference to a missing file: references/style-XX-风格名.md
Process rating: all ten parameters 31/100
- 0Tools and files. 2 referenced file(s) missing: assets/robot-ip-default.png, references/style-XX-风格名.md
- 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
- 40Consistency. Frontmatter name (wangyin-zhongnian-cover) differs from the folder (wangyin-zhongnian-cover-design)
- 100Steps. 86 steps
- 100Execution cost. Instruction body is 2410 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
- +2Single-language instructions
- +3Description length 157: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 86 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (2 of 12)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.