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夸克扫描王一站式图片/文档处理中心。当用户需要对图片进行文字识别(OCR)、图片翻译、画质增强(去除水印/阴影/手写/底色/屏纹等瑕疵,矫正,高清增强,素描/线稿转换等)、格式转换(转 Word/Excel/PDF)或 AI 生成(证件照)时使用此技能。即使用户没有明确提到具体功能名称,只要涉及图片处理、文字提取、文档转换、图像优化或证件照生成,都应触发此技能。不适用于视频处理、纯文本编辑或非图片输入的任务。夸克扫描王图片处理能力中心。

ClawHub Agent Skills author: Alibaba Quark Scanking(夸克扫描王) v1.1.3 MIT-0 8 files body ≈ 682 tokens Open the sourceclawhub.ai analyzed 2 d ago

夸克扫描王一站式图片/文档处理中心。当用户需要对图片进行文字识别(OCR)、图片翻译、画质增强(去除水印/阴影/手写/底色/屏纹等瑕疵,矫正,高清增强,素描/线稿转换等)、格式转换(转 Word/Excel/PDF)或 AI…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureData and analyticsSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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: 8. 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")

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 37 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 682 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
  • +2Single-language instructions
  • +3Description length 220: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 37 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This skill is a disclosed Quark Scan integration that uploads user-selected images or URLs for OCR, enhancement, conversion, or ID photo generation, with no artifact evidence of hidden or destructive behavior.
LLM: benign (medium) · VirusTotal: · 9 Jul 2026