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Paper Ingest Normalizer
by
sunbinnju-star
· GitHub ↗
· v1.0.0
· MIT-0
110
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0
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0
Active Installs
1
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Install in OpenClaw
/install paper-ingest-normalizer
Description
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...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install paper-ingest-normalizer - After installation, invoke the skill by name or use
/paper-ingest-normalizer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Frequently Asked Questions
What is Paper Ingest Normalizer?
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... It is an AI Agent Skill for Claude Code / OpenClaw, with 110 downloads so far.
How do I install Paper Ingest Normalizer?
Run "/install paper-ingest-normalizer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Paper Ingest Normalizer free?
Yes, Paper Ingest Normalizer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Paper Ingest Normalizer support?
Paper Ingest Normalizer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Paper Ingest Normalizer?
It is built and maintained by sunbinnju-star (@sunbinnju-star); the current version is v1.0.0.
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