ArxivDigest
ArXiv Digest and Personalized Recommendations using Large Language Models
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 + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add AutoLLM/ArxivDigest
Maintenance
stale
2y since push
Risk
Needs review
Repository appears stale
GitHub quality
428
53/100 quality · 73/100 trust
Coverage tags
Review notes
Repository appears stale · Repository looks stale
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
Needs reviewInspect the repository carefully before adding it to an agent workflow.
Trust
Strong shortlistGood trust signals with a few areas worth checking before rollout.
Audit
Needs reviewInstall 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
428 GitHub stars
Repo activity
428 stars, 102 forks
Maintenance
2y since push
License
MIT
Install
npx skills add AutoLLM/ArxivDigest
Install safety
standard package or runtime install path
Permission surface
filesystem or document access
Docs
Usable metadata, review docs
Risk summary
Review before production
- Repository looks stale
- Quality score needs review
- Recent maintenance: 2y since push
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- 2y 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
- 73/100
- Risk level
- Needs review
- Auto install
- review
Do not use when
- teams that require actively maintained dependencies
- production agents without a repository review
- Repository looks stale
- No OpenAgentSkill engagement data yet
- Repository appears stale
Alternative
Last30days Skill
43.0K stars
npx skills add mvanhorn/last30days-skill -g
Alternative
Academic Research Skills
31.2K stars
npx skills add Imbad0202/academic-research-skills
Alternative
GPT Researcher
27.3K stars
npx skills add assafelovic/gpt-researcher
Alternative
Deep Research
19.1K stars
npx skills add dzhng/deep-research
Agent safety v2
49/100 · Avoid automatic install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
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.
- Repository appears stale
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 AutoLLM/ArxivDigestAgent 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%20ArxivDigest%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20ArxivDigest%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/autollm-arxivdigest/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 ArxivDigest in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20ArxivDigest%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/autollm-arxivdigest/install
Install command: npx skills add AutoLLM/ArxivDigest
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/autollm-arxivdigest/install
LLM text format
/api/skills/autollm-arxivdigest/install?format=text
Find alternatives
/api/skills/search?q=ArxivDigest&limit=3
Agent prompt
Use ArxivDigest for this task. Review https://www.openagentskill.com/api/skills/autollm-arxivdigest/install, then install with: npx skills add AutoLLM/ArxivDigestRegistry 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/autollm-arxivdigest
LLM text
/api/registry/manifest/autollm-arxivdigest?format=text
Install alias
/api/registry/install/autollm-arxivdigest
Recommend
/api/registry/recommend?task=Use%20ArxivDigest%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Python, Research, Claude Code, OpenAI Agents
Audit report
Needs review · 65/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Needs validation for RAG and knowledge
Do a manual repository review before adding this to an agent workflow.
Role in stack
Needs validation
Primary fit
RAG and knowledge
Trust label
Needs manual review
Install path
Command ready
Use when
- RAG and knowledge workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- install command or GitHub repo available
- 53/100 quality profile
Review first
- Repository looks stale
- 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
INFO428 GitHub stars
Stars/forks activity
INFO428 stars, 102 forks; issue activity unavailable in current metadata
Recent maintenance
FIX2y since push
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Install command has no obvious high-risk pattern
Review before install
- Repository looks stale
- Quality score needs review
- Recent maintenance: 2y since push
Recommended action
Test in a sandbox workflow and compare its install path with close alternatives.
Quality profile
Needs review candidate for agent workflows
Inspect the repository carefully before adding it to an agent workflow.
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.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
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.
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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
ArXiv Digest and Personalized Recommendations using Large Language Models
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
Needs validation
install command or GitHub repo available
Audit Snapshot
Install and adoption review
- Security
- 87/100
- Maintenance
- 20/100
- Install
- 92/100
Growth loop
Share this skill
Scenario-led draft for ArxivDigest, with the OpenAgentSkill Update theme and canonical URL.
OpenAgentSkill Update Today: ArxivDigest Use it when you want an agent to turn market noise into source-backed research, ranked candidates, and risk checks. 428 stars - research Link: https://www.openagentskill.com/skills/autollm-arxivdigest?ref=x #AIAgents #OpenAgentSkill
Optional reply with install command
Link for ArxivDigest: https://www.openagentskill.com/skills/autollm-arxivdigest?ref=x Install: npx skills add AutoLLM/ArxivDigest
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- AutoLLM
- Source
- AutoLLM/ArxivDigest
- 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 AutoLLM 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/autollm-arxivdigest)Author
AutoLLM
@autollm
Platform Fit
Health Signals
- GitHub stars
- 428
- Quality score
- 37/100
- Last GitHub push
- May 26, 2024
- 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 adoption428 GitHub starsINFO
- Stars/forks activity428 stars, 102 forks; issue activity unavailable in current metadataINFO
- Recent maintenance2y since pushFIX
- License clarityMITPASS
- README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
- Dependency/runtime riskno major dependency risk hints in public metadataPASS
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