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由夸克扫描王提供的高准取率 OCR 文字识别工具。当用户需要从图片、截图、照片或扫描文档中提取、识别或结构化文本，就使用此技能——包括手写体、表格、数学公式、商品图、各类证件（身份证、社保卡、驾照、行驶证、港澳台通行证、学位证等）、票据（增值税发票、火车票、英文发票等）、医疗报告、药检报告、营业执照、习题以及图片翻译。本技能由夸克扫描王提供支持。即使用户没有明确提到"OCR"或"文字识别"，只要用户的需求涉及从图片中获取文字或关键信息，也应触发此技能。不适用于图像生成、图像编辑或无需从图片中提取文本的任务

ClawHub Agent Skills author: Alibaba Quark Scanking(夸克扫描王) v1.0.12 MIT-0 11 files body ≈ 1 402 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

由夸克扫描王提供的高准取率 OCR…

As a process F 35/100 · Will not run — References files that are not bundled: scripts/common/*.py

ProcedureSoftware developmentData and analyticsFinancetype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
F
35/100
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: 11. 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 35/100

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
  • 100Steps. 124 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1402 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 255: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 124 items
  • +4Has examples (4 code blocks)
  • +3All 1 scripts are documented

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

External checks

ClawHub: clean
This OCR skill is purpose-aligned and discloses that uploaded images are sent to Quark's remote OCR service, but users should treat sensitive documents carefully.
LLM: benign (medium) · VirusTotal: · 10 Jul 2026