CF create-marketing-graphics
为活动、促销、品牌 campaign 与倡导等传播任务创建、改版、扩展或诊断海报与营销图形，交付以假乱真的成品平面稿（单张海报、系列、社媒多尺寸套件、展示物与户外幅面）和一个能重出图的母版文件夹（HTML/CSS 画板母版、内容插槽、素材层、色与字规范、导出脚本、README）。基底是固定尺寸的分层版面：生图只产背景与主视觉素材，文字全部活字，系列只变内容不变容器。入口三判据同时成立才属本 Skill：输出是定尺寸单帧静态平面文件（PNG/JPG/PDF，不可滚动、不可交互、不分页）；一帧承载全部信息、一次扫读完；用途是传播。用于：海报、传单、KV、banner、社媒图、公众号头图与封面、灯箱、易拉宝、展板、广告图、单页邀请函、电商主图、节日贺图、视频封面、微信长图。不用于并须转出：PPT、报告、手册、杂志、学术海报与任何多页物→design-editorial-and-presentations；logo、VI、名片、品牌手册→design-brand-identities；网页、落地页、dashboard 与任何可交互界面→build-polished-visual-frontends；数据图表与重信息图→create-data-visualizations；单张无文字插画→create-illustrations-and-scenes；单个图标或图形元素→design-icons-and-symbols。
为活动、促销、品牌 campaign 与倡导等传播任务创建、改版、扩展或诊断海报与营销图形，交付以假乱真的成品平面稿（单张海报、系列、社媒多尺寸套件、展示物与户外幅面）和一个能重出图的母版文件夹（HTML/CSS…
As a process F 33/100 · No process to follow — References files that are not bundled: references/poster-examples/anatomy.jpg, references/svg-and-vector.md, assets/generated/
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: 8. 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: references/poster-examples/anatomy.jpg - warning
missing-refreference to a missing file: references/svg-and-vector.md - warning
missing-refreference to a missing file: assets/generated/
Process rating: all ten parameters 33/100
- 0Tools and files. 3 referenced file(s) missing: references/poster-examples/anatomy.jpg, references/svg-and-vector.md, assets/generated/
- 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
- 30Running it twice. 5 mutating operations with no state check
- 100Steps. 50 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3892 tokens
- low 10 top-level sections: this looks like several domains in one skill
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
- -5TODO / placeholder text left in the skill
- +1No license
- +2Single-language instructions
- +3Description length 615: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 50 items
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.