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Nm Tome Papers

作者 athola · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
90
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在 OpenClaw 中安装
/install nm-tome-papers
功能描述
>- Search academic literature via arXiv, Semantic Scholar, and open-access discovery chains. Fetches and parses PDFs for key findings
安全使用建议
This skill appears coherent for searching and extracting academic papers. Before installing: 1) Confirm the identity and behavior of the night-market.leyline:document-conversion provider (the conversion service will receive PDFs and may upload them to external services). 2) Avoid supplying sensitive local file:// paths unless you trust the conversion backend. 3) Test with non-sensitive PDFs to observe how files are handled. 4) Because the agent can invoke the skill autonomously (normal default), consider restricting autonomous runs if you want tighter control over what gets sent to the conversion service.
功能分析
Type: OpenClaw Skill Name: nm-tome-papers Version: 1.0.0 The skill bundle is designed for searching academic literature and processing PDFs into markdown for analysis. It provides clear instructions for using legitimate APIs (arXiv, Semantic Scholar) and document conversion tools (markitdown MCP). There are no indicators of malicious intent, data exfiltration, or unauthorized command execution in SKILL.md or _meta.json.
能力评估
Purpose & Capability
Name/description (searching arXiv/Semantic Scholar and converting PDFs) match what the SKILL.md instructs. The single declared requirement (night-market.leyline:document-conversion) is directly used for PDF->markdown conversion and is appropriate for the task.
Instruction Scope
Instructions are narrowly focused on fetching paper metadata and converting PDFs to markdown via the Leyline MCP tools (convert_to_markdown / Read). They explicitly accept PDF URLs and file:// paths for local files — this is expected for handling user-provided PDFs but means the conversion tool may be given access to local files if a file path is supplied. If you plan to allow the agent to process local files, verify the conversion backend's behavior and trustworthiness.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk or downloaded by the skill itself.
Credentials
No environment variables, binaries, or credentials are requested. The single required config path (document-conversion) is proportional to converting PDFs and extracting text/structure.
Persistence & Privilege
always:false and no special system-wide privileges are requested. The skill does not modify other skills or request persistent system presence.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install nm-tome-papers
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /nm-tome-papers 触发
  4. 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 of the "papers" skill for academic literature search. - Supports searching arXiv, Semantic Scholar, and multiple open-access sources. - Fetches and parses PDFs, extracting abstracts, methods, results, and citation info. - Uses advanced PDF-to-markdown conversion for clean extraction of tables, figures, and equations. - Includes fallback guidance for paywalled papers.
元数据
Slug nm-tome-papers
版本 1.0.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Nm Tome Papers 是什么?

>- Search academic literature via arXiv, Semantic Scholar, and open-access discovery chains. Fetches and parses PDFs for key findings. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 90 次。

如何安装 Nm Tome Papers?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install nm-tome-papers」即可一键安装,无需额外配置。

Nm Tome Papers 是免费的吗?

是的,Nm Tome Papers 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Nm Tome Papers 支持哪些平台?

Nm Tome Papers 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 Nm Tome Papers?

由 athola(@athola)开发并维护,当前版本 v1.0.0。

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