Arxivscraper
A python module to scrape arxiv.org for a date range and category
Supply asset profile
Research and knowledge work
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Mahdisadjadi/arxivscraper
Maintenance
active
1mo since push
Risk
Safe to try
Quality score needs review
GitHub quality
336
76/100 quality · 80/100 trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Strong shortlistGood trust signals with a few areas worth checking before rollout.
Audit
Safe to tryInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v3
Human review before install
Test in a sandbox workflow and compare its install path with close alternatives.
Stars
336 GitHub stars
Repo activity
336 stars, 54 forks
Maintenance
1mo since push
License
MIT
Install
npx skills add Mahdisadjadi/arxivscraper
Install safety
standard package or runtime install path
Permission surface
filesystem or document access, network or browser access
Docs
Usable metadata, review docs
Risk summary
Review before production
- Quality score needs review
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- 1mo since push
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- RAG and knowledge workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Chunk documents
- Create embeddings
Suited agents
Trust and risk
- Trust score
- 80/100
- Risk level
- Safe to try
- Auto install
- review
Do not use when
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
- No OpenAgentSkill engagement data yet
- Quality score needs review
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Agent safety v2
66/100 · Review before install
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- Quality score needs review
Install targets
Install this skill in your agent workflow
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add Mahdisadjadi/arxivscraperAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Resolve JSON
/api/agent/resolve?task=Use%20Arxivscraper%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Arxivscraper%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/mahdisadjadi-arxivscraper/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use Arxivscraper in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Arxivscraper%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/mahdisadjadi-arxivscraper/install
Install command: npx skills add Mahdisadjadi/arxivscraper
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/mahdisadjadi-arxivscraper/install
LLM text format
/api/skills/mahdisadjadi-arxivscraper/install?format=text
Find alternatives
/api/skills/search?q=Arxivscraper&limit=3
Agent prompt
Use Arxivscraper for this task. Review https://www.openagentskill.com/api/skills/mahdisadjadi-arxivscraper/install, then install with: npx skills add Mahdisadjadi/arxivscraperRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/mahdisadjadi-arxivscraper
LLM text
/api/registry/manifest/mahdisadjadi-arxivscraper?format=text
Install alias
/api/registry/install/mahdisadjadi-arxivscraper
Recommend
/api/registry/recommend?task=Use%20Arxivscraper%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Python, Research, Claude Code
Audit report
Safe to try · 82/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Companion skill for RAG and knowledge
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
RAG and knowledge
Trust label
Strong shortlist
Install path
Command ready
Use when
- RAG and knowledge workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 76/100 quality profile
Review first
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one RAG and knowledge task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Strong shortlist
Good trust signals with a few areas worth checking before rollout.
GitHub adoption
INFO336 GitHub stars
Stars/forks activity
INFO336 stars, 54 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1mo since push
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
Review before install
- Quality score needs review
Recommended action
Test in a sandbox workflow and compare its install path with close alternatives.
Quality profile
Strong candidate for agent workflows
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Use this skill in these scenarios
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Collect structured data
Web scraping
I need my agent to scrape websites and extract structured data from pages.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Stack fit
Add it to a complete workflow
Ingest, retrieve, and cite
RAG knowledge base
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
Content growth agent
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Scrape, clean, and reuse web data
Web data pipeline
A practical stack for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Compare before you install
Similar skills in this category, ranked with the same readiness and quality signals.
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GPT Researcher
Run autonomous deep research over web and local sources
Deep Research
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.
Overview
A python module to scrape arxiv.org for a date range and category
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- MIT
- Last Updated
- 6/16/2026
- Published
- 6/16/2026
Frameworks & Tools
Decision snapshot
Companion skill
recent repository activity
Audit Snapshot
Install and adoption review
- Security
- 85/100
- Maintenance
- 88/100
- Install
- 92/100
Growth loop
Share this skill
Scenario-led draft for Arxivscraper, with the OpenAgentSkill Update theme and canonical URL.
OpenAgentSkill Update Today: Arxivscraper Use it when you need an agent to browse, extract, or monitor web pages without building a scraper from scratch. 336 stars - research Link: https://www.openagentskill.com/skills/mahdisadjadi-arxivscraper?ref=x #AIAgents #OpenAgentSkill
Optional reply with install command
Link for Arxivscraper: https://www.openagentskill.com/skills/mahdisadjadi-arxivscraper?ref=x Install: npx skills add Mahdisadjadi/arxivscraper
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- Mahdisadjadi
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This community indexed listing is attributed to Mahdisadjadi but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
README badge
Add this badge to your GitHub README to show the listing, trust score, and install handoff.
[](https://www.openagentskill.com/skills/mahdisadjadi-arxivscraper)Author
Mahdisadjadi
@mahdisadjadi
Platform Fit
Health Signals
- GitHub stars
- 336
- Quality score
- 48/100
- Last GitHub push
- May 6, 2026
- Framework hints
- 2
- OpenAgentSkill views
- 0
- Install copies
- 0
- Outbound clicks
- 0
Community Signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & Safety
Strong shortlist
- GitHub adoption336 GitHub starsINFO
- Stars/forks activity336 stars, 54 forks; issue activity unavailable in current metadataINFO
- Recent maintenance1mo since pushPASS
- License clarityMITPASS
- README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
- Dependency/runtime risknetwork or browser surfacePASS
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