cn-doc-table-extract@1.0.0
CAUTIONPublisher claims: "Extract structured tables and key fields from Chinese PDF, scanned images, Excel (xlsx) and Word (docx) documents, then validate every extracted value and flag anomalies with page/row/column traceability. Use when you need 中文PDF表格提取 (Chinese PDF table extraction), 中文发票识别 (Chinese invoice recognition), 保单信息提取 (insurance policy field extraction), 对账单解析 (bank statement parsing), 表格字段校验 (table field validation) or 中文文档结构化 (Chinese document structuring). Outputs a fixed-shape table plus a JSON record set where every field carries a source citation (page, table id, row, column) or an explicit unverified marker, plus a validation report listing missing required fields, malformed amounts, impossible dates, invalid invoice numbers, total-vs-detail sum mismatches and duplicate rows. Ships runnable scripts: scripts/extract_tables.py (PDF/XLSX/DOCX/CSV to records) and scripts/validate_fields.py (completeness, amount, date, id and reconciliation checks). Intended for developers and data teams processing Chinese documents; not a document-authoring or legal-review assistant." Observed in sandbox: static analysis only — behavior not yet observed.
Is [email protected] safe to install?
KillerSkills analysed it statically (a sandbox run is pending) on 2026-11-03 and scored it 70/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Summary: static analysis only — behavior not yet observed.
Behavior trace
Queued for honeypot run · static analysis onlyThis version has not been detonated yet. The score above counts behavior as unknown (50/100), so it cannot read Verified until the honeypot run completes and replaces this verdict.
Static findings
No findings across 3,899 lines in 11 files.
What would make this Verified
10 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Unclaimed publisher≈ +8 on the totalClaim tingyun01: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.