AD image-process
图片处理小工具——改尺寸、转格式(WebP/PNG/JPG)、自动裁白边、生成缩略图、压缩优化体积、生成社交分享图(OG图)、批量处理整个文件夹、去背景（抠图）。基于 Pillow，纯本地运行，不上传任何图片。当用户说"压缩图片""图片太大了""转成webp""把png转jpg""改图片尺寸""缩小图片""裁掉白边""logo去白底""做缩略图""生成分享图""做一张OG图""批量处理图片""批量转webp""优化网站图片""去背景""抠图""去掉背景""背景透明"等任何图片处理需求时触发。适合公众号配图、网站素材、产品图等日常图片整理。**不要 undertrigger**——用户提图片处理就该用本技能，而不是手写 Python。
图片处理小工具——改尺寸、转格式(WebP/PNG/JPG)、自动裁白边、生成缩略图、压缩优化体积、生成社交分享图(OG图)、批量处理整个文件夹、去背景（抠图）。基于…
As a process D 43/100 · Unfinished process — 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: 4. 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") - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 43/100
- 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
- 30Running it twice. 3 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 11 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 942 tokens
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 7 example trigger phrases
- +3Description length 320: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 11 items
- +4Has examples (11 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.