DeepPaperNote

Skill · GitHub · ★ 1.3k · graded 2026-10-22Source linked

DeepPaperNote is an agent skill for deep-reading a single paper and generating high-quality Obsidian-style research notes. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.

No outside reports on file

Use this skill only with non-sensitive papers, and verify which AI service backend processes your documents and what it does with the data.

Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

  • Local filesReads local filesNOTED
  • Command executionNo shell command runner notedLOW
  • Network reachLocal or standard API callsLOW
  • CredentialsNo API token requiredLOW
  • Package sourceGitHub (917Dhj/DeepPaperNote)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

No npm or PyPI package is listed. Install from source: github.com/917Dhj/DeepPaperNote ↗

All setup options ↓

Everything known

We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.

0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30

Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-22.

Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.

Check a specific version →

About DeepPaperNote

DeepPaperNote is a skill that reads research papers and automatically creates detailed notes in Obsidian format (a note-taking system). It works as an add-on for AI coding assistants like Claude Code, Cursor, and others to help researchers organize and summarize academic papers.

Who it’s for

Researchers, students, and academics who want to speed up reading papers and organizing research notes. Anyone using AI coding assistants who needs structured note-taking from academic documents.

Alternatives

  • Semantic Scholar: Academic search engine with built-in paper summaries and note features.
  • Zotero + AI plugins: Reference manager with community extensions for note generation.
  • Elicit: AI research assistant designed specifically for paper reading and synthesis.
  • Manual notes with Claude chatbot: Use Claude directly in a browser without file-based automation for more control.

Setup

Check these steps against the project’s own instructions before running anything.

Follow the project's README for installation instructions specific to your AI coding platform.

Why this grade

CC — Moderate risk signals

Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

34/100
GitHub stars
1.3k
Listing last refreshed
2026-10-30

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Risks to watch for

  • File access: The skill reads paper files from your computer and could expose sensitive or proprietary research documents to the AI service you're using.
  • Network exposure: Generated notes may be sent to external AI services depending on which assistant you use (Claude, Gemini, etc.), potentially leaking research content.
  • Malicious PDFs: A specially crafted paper file could contain hidden code or tricks designed to confuse the AI into misbehaving or leaking information.
  • Data retention: Notes generated by cloud-based AI services may be retained for training or logging, meaning your research could be stored beyond your control.
  • Project maturity: Limited weekly adoption (0 npm downloads tracked) suggests newer code with less real-world testing for security issues.

How to lower the risk

Least-privilege permissions

  • Run the skill only when you need it, not as a permanent background tool.
  • Restrict file access to specific paper folders, not your entire computer.

Network isolation

  • Be aware which AI assistant (Claude, Gemini, etc.) handles your data before starting.
  • Avoid papers containing confidential or proprietary information.

Monitoring

  • Check the generated notes for unexpected content or malformed data.
  • Keep track of which papers you've processed with this tool.

Red flags to watch for

  • Slow processing or unusual AI responses when reading certain papers.
  • Notes containing information you didn't include in the original file.

Questions

How do I install DeepPaperNote?

DeepPaperNote does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/917Dhj/DeepPaperNote.

Are there security reports about DeepPaperNote?

No reports found for this package in our research (last checked 2026-10-30). DeepPaperNote currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include file access, network exposure, malicious pdfs.

Is DeepPaperNote actively maintained?

DeepPaperNote has 1.3k GitHub stars. Our directory data was last refreshed on 2026-10-30. Check recent commit activity, release tags, and open issues at github.com/917Dhj/DeepPaperNote before pinning it in production.

What are alternatives to DeepPaperNote?

Notable alternatives to DeepPaperNote include Semantic Scholar (Academic search engine with built-in paper summaries and note features), Zotero + AI plugins (Reference manager with community extensions for note generation), Elicit (AI research assistant designed specifically for paper reading and synthesis), Manual notes with Claude chatbot (Use Claude directly in a browser without file-based automation for more control). You can also compare DeepPaperNote side by side with other skills in the Related tools section on this page.

README badge and team notes

Maintain or use DeepPaperNote? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade C for DeepPaperNote

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for DeepPaperNote](https://agentarmorhq.com/api/badge/917dhj-deeppapernote)](https://agentarmorhq.com/skills/917dhj-deeppapernote)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/917dhj-deeppapernote"><img src="https://agentarmorhq.com/api/badge/917dhj-deeppapernote" alt="AgentArmorHQ Risk Grade for DeepPaperNote" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "917dhj-deeppapernote"

Share with your security lead

Need sign-off to use DeepPaperNote? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: DeepPaperNote
- **Listing URL:** https://agentarmorhq.com/skills/917dhj-deeppapernote
- **Type:** AI agent skill
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 1.3k GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** Reads local files
- **Command execution:** No shell command runner noted
- **Network reach:** Local or standard API calls
- **Credentials:** No API token required
- **Package source:** GitHub (917Dhj/DeepPaperNote)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/917Dhj/DeepPaperNote
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type
AI agent skill
Publisher
917Dhj
Source code
github.com/917Dhj/DeepPaperNote
Est. context load
~75 tokens idle · ~450 tokens when active (on-demand skill)
Popularity
1.3k GitHub stars
Last updated
2026-10-30
Last graded
2026-10-22

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