AC chinese-text-commercial-poster-generation
用 AI Hive GPT Image 2 把已批准的中文、英文、数字和标点按版式区域生成到商业图片中，并通过文案合同、离线字符比对和局部返修降低错字、漏字、重复字与伪文字风险。Use when ecommerce and marketing teams need exact Chinese text images, commercial posters, product feature cards, campaign KV, social covers, bilingual ads, package-front concepts or typo repair for Taobao, Tmall, JD, Douyin, Xiaohongshu, WeChat, Amazon, TikTok Shop, Instagram and Shopify; relevant to users comparing Meitu, Dreamina, LiblibAI, Canva, Adobe Express, Midjourney or similar design workflows.
用 AI Hive GPT Image 2 把已批准的中文、英文、数字和标点按版式区域生成到商业图片中，并通过文案合同、离线字符比对和局部返修降低错字、漏字、重复字与伪文字风险。Use when ecommerce and marketing teams need exact Chinese text…
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. 5 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1211 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 496: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 5 items
- +4Has examples (8 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.