AD product-retouch
使用 GPT Image 2 精修现有商品照片，以缺陷清单和不可变项控制除尘、去划痕、反光整理、颜色校准、标签保护与背景清理。Use this skill for 商品精修、产品精修、电商修图、瑕疵修复、质感增强、反光控制、颜色校正、背景清理、淘宝京东抖店 Amazon Shopify 商品摄影后期；必须提供参考图片，通过 AI Hive 编辑。
使用 GPT Image 2 精修现有商品照片，以缺陷清单和不可变项控制除尘、去划痕、反光整理、颜色校准、标签保护与背景清理。Use this skill for 商品精修、产品精修、电商修图、瑕疵修复、质感增强、反光控制、颜色校正、背景清理、淘宝京东抖店 Amazon Shopify…
As a process D 38/100 · Unfinished process — weak spots: steps, result and completion, when it triggers
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 38/100
- 0Steps. Prose only: no discrete steps
- 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
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 477 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)
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 174: enough signal without eating the budget
- +4Structure: 10 headings
- +4Has examples (6 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.