发票识别
v1.0.3支持增值税发票、普通发票、区块链发票等多种票据的OCR识别与信息提取；自动完成票据类型分类、关键字段提取、格式校验；当用户需要识别发票内容、提取发票信息、校验发票格式时使用
⭐ 0· 88·0 current·0 all-time
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description (invoice OCR and validation) match the included resources: format reference docs and a PDF->image conversion script. Declared Python dependencies (pdf2image, Pillow) are appropriate for PDF conversion and image handling.
Instruction Scope
Runtime instructions stay within invoice processing: accept user files, convert PDFs/OFDs using the provided script, then perform OCR and validation. One small ambiguity: the SKILL.md says OCR is done using the agent's "native image recognition ability" rather than a local OCR library — this is a design choice but means images may be processed by the platform/model provider. The skill does not instruct reading unrelated files, environment variables, or contacting external endpoints (it only lists an official government URL for manual verification).
Install Mechanism
There is no automated install spec; the skill is instruction-only and includes a small, local conversion script. Dependencies are standard Python packages (pdf2image, Pillow) and an optional ofd2pdf for OFD conversion — no downloads from unknown hosts or archive extraction are present.
Credentials
The skill requests no environment variables, credentials, or config paths. The files and libraries it uses are proportional to converting and validating invoice files.
Persistence & Privilege
always is false and the skill does not request persistent or elevated platform privileges, nor does it modify other skills or system-wide settings.
Assessment
This skill appears to do what it claims: convert PDFs/OFDs to images and validate invoice fields. Before using it, note: (1) you must install pdf2image and Pillow (and ofd2pdf only if you need OFD support); (2) OCR is performed by the agent/model (the SKILL.md references the agent's native image recognition), so uploaded images will be processed by whatever vision pipeline your platform uses — treat invoice images as sensitive and confirm your platform's data handling; (3) run the included pdf_to_image.py locally if you have untrusted files and prefer local conversion; and (4) remove or encrypt stored files containing personal/tax information after processing. If you need automatic server-side invoice verification against official APIs, this skill does not perform automatic queries — it only provides manual guidance for the official tax site.Like a lobster shell, security has layers — review code before you run it.
latestvk972vhpe3vsvxgn62xy28m5km984dmja
License
MIT-0
Free to use, modify, and redistribute. No attribution required.