paper_claw

Name: paper_claw Review
Item: paper_claw
Rating: 2.8
Author: Aaron Matthews

Skill Development Usable

Usable Scanned — metadata only

Reduces time spent on manual paper screening and keeps engineering teams current with relevant ML/AI research without context-switching to multiple sources.

Paper Claw sends personalized daily research digests from arXiv and beyond straight to your inbox, featuring customizable categories, intelligent classification, and agent-based multilingual summaries powered by your preferred AI via private API. Designed for researchers and AI agents, it makes paper discovery easier, smarter, and more specialized.

Ask Claude to summarize today's arXiv papers in your specific research domains automatically.
Generate personalized daily digests of machine learning papers filtered by your custom categories.
Automate delivery of multilingual research summaries directly to your email inbox each morning.

31 starsMIT (commercial OK)FreeQuick setup

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

Reduces time spent on manual paper screening and keeps engineering teams current with relevant ML/AI research without context-switching to multiple sources. Cuts noise through intelligent filtering and summarization.

Best for

Research-focused engineering teams and ML practitioners needing structured, automated literature monitoring aligned to specific technical domains.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/PigeonDan1/paper_claw

By PigeonDan1

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.

Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.

Command

claude plugins install PigeonDan1/paper_claw

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars31Last updated2026-05-17LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-21 · scanner v1

⚠ Data last scanned 2026-05-21 (43 days ago) — may not reflect the tool's current state.

Community Pulse Active

Discussed on Hacker News, Reddit

We hooked a real-life claw machine to the internet using Raspberry Pi 4! We fill — Reddit · 3004 pts
What are you going to do now dragons? Steal bits of flammable paper money that c — Reddit · 1641 pts
Nature retracts paper that claimed adult stem cell could become any type of cell — Hacker News · 310 pts

3 mentions across 2 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 31 GitHub stars; contributors unknown; last commit 4d ago; license MIT.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

3/5

Versatility

2/5

Reliability

3/5

Security

3/5

Overall score2.75 / 5.00 UsableEvaluatedMay 2026

Scored from trust signals (evidence-eval-v1): 31 GitHub stars; contributors unknown; last commit 4d ago; license MIT.

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