SKILLEMALL.ai

BF alibaba-quark-scan

由夸克扫描王官方提供的文件高清扫描工具。当用户需要对图片、截图进行画质优化、瑕疵去除或视觉增强时,使用此技能——包括画质增强、证件照优化、考试试卷增强、合同增强等场景。智能去除手写笔迹、水印、阴影、摩尔纹、底色等干扰元素。支持图像裁剪与矫正、素描效果转换、线稿提取等,输出优化后的高清图片。本技能由夸克扫描王提供支持。即使用户没有明确提到"增强"或"处理",只要用户的需求涉及提升图片清晰度、清理干扰元素或优化图像质量,也应触发此技能。不适用于文字提取或识别、图片转 Word/Excel/PDF 文档或 AI 图像生成

ClawHub Agent Skills author: Alibaba Quark Scanking(夸克扫描王) v1.0.18 MIT-0 13 files body ≈ 1 371 tokens Open the sourceclawhub.ai analyzed 2 d ago

由夸克扫描王官方提供的文件高清扫描工具。当用户需要对图片、截图进行画质优化、瑕疵去除或视觉增强时,使用此技能——包括画质增强、证件照优化、考试试卷增强、合同增强等场景。智能去除手写笔迹、水印、阴影、摩尔纹、底色等干扰元素。支持图像裁剪与矫正、素描效果转换、线稿提取等,输出优化后的高清图片。本技能由夸克扫描王提供支持。…

As a process F 33/100 · Will not run — References files that are not bundled: scripts/common/*.py

ProcedureData and analyticsSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: scripts/common/*.py
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
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: 13. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: scripts/common/*.py

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: scripts/common/*.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/common/*.py
  • 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. 111 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1371 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 260: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 111 items
  • +4Has examples (3 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
The skill appears to perform disclosed Quark image enhancement, but it needs Review because weak local-file validation and redirect handling could expose unintended files, image data, or the API key.
LLM: suspicious (high) · VirusTotal: · 12 Sept 2026