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Install in OpenClaw
/install nm-tome-papers
Description
>- Search academic literature via arXiv, Semantic Scholar, and open-access discovery chains. Fetches and parses PDFs for key findings
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install nm-tome-papers - After installation, invoke the skill by name or use
/nm-tome-papers - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Nm Tome Papers?
>- Search academic literature via arXiv, Semantic Scholar, and open-access discovery chains. Fetches and parses PDFs for key findings. It is an AI Agent Skill for Claude Code / OpenClaw, with 90 downloads so far.
How do I install Nm Tome Papers?
Run "/install nm-tome-papers" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Nm Tome Papers free?
Yes, Nm Tome Papers is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Nm Tome Papers support?
Nm Tome Papers is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Nm Tome Papers?
It is built and maintained by athola (@athola); the current version is v1.0.0.
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