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Pdf Processing Anthropic
插件 警告 活跃属于:Lawvable
PDF manipulation toolkit for text extraction, creation, merging, and form handling
目的
To empower users with a versatile toolkit for performing a wide range of operations on PDF documents.
功能
- Extract text and tables from PDFs
- Create new PDFs
- Merge and split PDF documents
- Handle PDF forms
- OCR on scanned PDFs
使用场景
- Automating document processing workflows
- Extracting data from PDF reports
- Consolidating multiple PDF documents
- Generating PDF documents programmatically
非目标
- Advanced PDF editing features like vector graphics manipulation
- Real-time PDF collaboration
- Handling encrypted PDFs without a password
Documentation
- info:Configuration & parameter referenceWhile the SKILL.md provides extensive code examples, it does not explicitly document default parameters or precedence order for any potential configuration.
License
- critical:License usabilityThe license is listed as 'Proprietary. See LICENSE.txt' in the skill manifest, but the provided LICENSE.txt file contains restrictive terms (e.g., 'Users may not: Extract these materials... retain copies... create derivative works... distribute... to any third party') which prohibit redistribution and creation of derivative works, making it unusable for many purposes.
Maintenance
- warning:Commit recencyThe last commit was on March 3, 2026, which is over 2 months ago, suggesting potential lack of recent maintenance.
- warning:Dependency ManagementThe skill uses third-party Python libraries (pypdf, pdfplumber, reportlab, pytesseract, pdf2image) but there is no indication of dependency pinning or vulnerability checking.
Security
- warning:InjectionThe skill processes PDF files which can contain malicious content or embedded scripts. While the code examples show data extraction, there's no explicit mention of treating loaded file content as untrusted or sandboxing execution of any embedded logic.
- warning:Transitive Supply-Chain GrenadesThe skill relies on external Python libraries. While these are typically installed via pip, there is no explicit mention of runtime downloads or execution of uncommitted code, but the dependency management is not pinned, creating a potential supply-chain risk.
Versioning
- warning:Release ManagementThe skill manifest lists a version '2026.02.06', but there are no GitHub release tags or a CHANGELOG.md, making it unclear if this is a semantic version or just a date, and it is difficult to track specific releases.
Code Execution
- warning:ValidationWhile the Python code demonstrates using libraries like pypdf and pdfplumber for file processing, there is no explicit mention or demonstration of input validation (e.g., file types, existence) or output sanitization using a schema library.
- info:Error HandlingThe Python examples include basic try-except blocks in some cases but lack a comprehensive structured error reporting mechanism with fields like `code`, `retryable`, or `hint`.
Compliance
- info:GDPRThe skill processes PDF files, which may contain personal data. However, it does not explicitly sanitize this data before potential LLM processing, nor does it submit data to third parties.
Install
- warning:Installation instructionThe main README for the repository describes how to submit skills but lacks specific installation instructions for individual plugins or how to use the 'pdf-processing-anthropic' skill with an agent, beyond a generic `claudeCode: pdf-processing-anthropic` identifier.
Errors
- info:Actionable error messagesThe provided Python code examples show basic error handling with `try-except` blocks, but the error messages themselves are not consistently framed with remediation steps or links to documentation.
Execution
- warning:Pinned dependenciesThe skill uses external Python libraries, but there is no lockfile or explicit pinning of dependency versions, which poses a risk for reproducibility and security.
安装
请先添加 Marketplace
/plugin marketplace add lawvable/awesome-legal-skills/plugin install pdf-processing-anthropic@lawvable质量评分
警告50 /100
1 day ago 分析