AD alphashop-image
AlphaShop（遨虾）图像处理 API 工具集。支持11个接口：图片翻译、图片翻译PRO、 图片高清放大、图片主题抠图、图片元素识别、图片元素智能消除、图像裁剪、 虚拟试衣（创建+查询）、模特换肤（创建+查询）。 触发场景：图片翻译、翻译图片文字、放大图片、高清放大、抠图、去背景、 检测水印/Logo/文字、消除水印、去牛皮癣、裁剪图片、虚拟试衣、AI试衣、 模特换肤、换模特、AlphaShop图像、遨虾图片处理。
As a process D 47/100 · 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.
For the model run — optional
- 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: 6. 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")
Process rating: all ten parameters 47/100
- 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. 1 mutating operations with no state check
- 75Steps. 3 steps
- 100Tools and files. No external tools needed
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 926 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
- +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 211: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 3 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.
External checks
ClawHub: clean
This is a coherent AlphaShop image-processing API wrapper, but users should understand that their configured API keys and submitted image URLs are used with AlphaShop's external service.
LLM: benign (high) · VirusTotal: · 29 May 2026