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Paper Ingest Normalizer
作者
sunbinnju-star
· GitHub ↗
· v1.0.0
· MIT-0
110
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install paper-ingest-normalizer
功能描述
Normalize papers, PDFs, URLs, and literature notes into structured research records for project memory and retrieval. Use when: (1) a new paper, PDF, DOI, or...
安全使用建议
This skill appears to do what it claims: normalize literature into structured records and avoid writes unless project_id is provided. Before installing/using: (1) only supply PDFs or URLs you want the agent to read (do not give sensitive files), (2) confirm the agent has access to any external 'summarize' skill or PDF libraries it will call and that you trust those components, and (3) verify writeback behavior in a safe test project to ensure records are written only when writeback_ready is true and project_id is set.
功能分析
Type: OpenClaw Skill
Name: paper-ingest-normalizer
Version: 1.0.0
The skill bundle 'paper-ingest-normalizer' is a legitimate tool designed to structure research literature (PDFs, URLs, text) into standardized records. The instructions in SKILL.md focus on data integrity, preventing hallucinations, and maintaining a clear schema for research metadata without any indicators of malicious intent, data exfiltration, or unauthorized execution.
能力评估
Purpose & Capability
Name/description match the requested inputs and outputs: it asks for PDFs, URLs, raw text, or metadata and specifies a structured schema and writeback behavior. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
Instructions stay within the paper-normalization scope (extract text from PDF/URL/text, parse bibliographic and research fields, assemble record). It correctly warns not to write to project memory without project_id. Note: it relies on access to local PDF paths or URLs — giving the agent those paths/links grants it access to those documents, so users should avoid supplying sensitive files unless intended.
Install Mechanism
Instruction-only skill with no install spec or code files. It suggests using pdfplumber/PyMuPDF or a separate 'summarize' skill for extraction, which is appropriate and low-risk for an instruction-only skill.
Credentials
No environment variables, credentials, or config paths are requested; the declared inputs (pdf_path, url, raw_text, project_id) are proportionate to the task.
Persistence & Privilege
Does not request always:true and does not change other skills or system-wide settings. The documented rule to never write without project_id reduces risk of unintended persistence.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install paper-ingest-normalizer - 安装完成后，直接呼叫该 Skill 的名称或使用
/paper-ingest-normalizer触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
常见问题
Paper Ingest Normalizer 是什么？
Normalize papers, PDFs, URLs, and literature notes into structured research records for project memory and retrieval. Use when: (1) a new paper, PDF, DOI, or... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 110 次。
如何安装 Paper Ingest Normalizer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install paper-ingest-normalizer」即可一键安装，无需额外配置。
Paper Ingest Normalizer 是免费的吗？
是的，Paper Ingest Normalizer 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Paper Ingest Normalizer 支持哪些平台？
Paper Ingest Normalizer 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Paper Ingest Normalizer？
由 sunbinnju-star（@sunbinnju-star）开发并维护，当前版本 v1.0.0。
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