DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Production candidateStrong trust signals across adoption, maintenance, install readiness, and review status.
Audit
Safe to tryInstall readiness, security metadata, maintenance, and adoption risk.
Agent safety v2
85/100 · Safe to install with normal review
Safety v2 estimates whether an agent should auto-install this skill by combining audit risk, install readiness, inferred permission surface, and policy constraints.
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.
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 Alibaba-NLP/DeepResearchAgent 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%20DeepResearch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20DeepResearch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/alibaba-nlp-deepresearch/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 DeepResearch in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20DeepResearch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/alibaba-nlp-deepresearch/install
Install command: npx skills add Alibaba-NLP/DeepResearch
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/alibaba-nlp-deepresearch/install
LLM text format
/api/skills/alibaba-nlp-deepresearch/install?format=text
Find alternatives
/api/skills/search?q=DeepResearch&limit=3
Agent prompt
Use DeepResearch for this task. Review https://www.openagentskill.com/api/skills/alibaba-nlp-deepresearch/install, then install with: npx skills add Alibaba-NLP/DeepResearchRegistry 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/alibaba-nlp-deepresearch
LLM text
/api/registry/manifest/alibaba-nlp-deepresearch?format=text
Install alias
/api/registry/install/alibaba-nlp-deepresearch
Recommend
/api/registry/recommend?task=Use%20DeepResearch%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Python, Research Agent, Claude Code
Audit report
Safe to try · 93/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Primary pick for RAG and knowledge
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
RAG and knowledge
Trust label
Production-ready
Install path
Command ready
Use when
- RAG and knowledge workflows
- Claude Code teams
- teams that value GitHub adoption signals
Evidence
- 19,391 GitHub stars
- recent repository activity
- install command or GitHub repo available
- 100/100 quality profile
- 2 OpenAgentSkill engagement events
Review first
- No major risk signals from current metadata
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
Production candidate
Strong trust signals across adoption, maintenance, install readiness, and review status.
Ownership
PASSListing manually verified
Install path
PASSnpx skills add Alibaba-NLP/DeepResearch
Repository
PASShttps://github.com/Alibaba-NLP/DeepResearch
License
PASSApache-2.0
Good signals
- Manually verified listing
- AI review approved
- Large GitHub adoption signal
Review before install
No major trust warnings detected from available metadata.
Recommended action
Shortlist for production use, then run a normal repository and dependency review.
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
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.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
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.
Find, compare, and synthesize
Research report agent
A stack for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
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.
Alternative shortlist
Compare before you install
Similar skills in this category, ranked with the same readiness and quality signals.
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.
Local Deep Research
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
Overview
Tongyi Deep Research, the Leading Open-source Deep Research Agent
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
- Apache-2.0
- Last Updated
- 6/14/2026
- Published
- 6/14/2026
Frameworks & Tools
Decision snapshot
Primary pick
19,391 GitHub stars
Audit Snapshot
Install and adoption review
- Security
- 87/100
- Maintenance
- 76/100
- Install
- 92/100
Growth loop
Share this skill
Scenario-led draft for DeepResearch, with the OpenAgentSkill Update theme and canonical URL.
OpenAgentSkill Update Today: DeepResearch Use it when you need an agent to browse, extract, or monitor web pages without building a scraper from scratch. 19.4K stars - research Link: https://www.openagentskill.com/skills/alibaba-nlp-deepresearch?ref=x #AIAgents #OpenAgentSkill
Optional reply with install command
Link for DeepResearch: https://www.openagentskill.com/skills/alibaba-nlp-deepresearch?ref=x Install: npx skills add Alibaba-NLP/DeepResearch
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- Alibaba-NLP
- Source
- Alibaba-NLP/DeepResearch
- 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 Alibaba-NLP 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/alibaba-nlp-deepresearch)Author
Alibaba-NLP✓
@alibaba-nlp
Tags
Platform Fit
Health Signals
- GitHub stars
- 19.4K
- Quality score
- 66/100
- Last GitHub push
- Feb 27, 2026
- Framework hints
- 2
- OpenAgentSkill views
- 1
- 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
Production candidate
- OwnershipListing manually verifiedPASS
- Install pathnpx skills add Alibaba-NLP/DeepResearchPASS
- Repositoryhttps://github.com/Alibaba-NLP/DeepResearchPASS
- LicenseApache-2.0PASS
- Maintenance4mo since pushPASS
- AI reviewApproved with no listed issuesPASS
Related Skills
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
31.2K stars · 0 installsGPT Researcher
Run autonomous deep research over web and local sources
27.3K stars · 0 installsDeep 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.
19.1K stars · 0 installsLocal Deep Research
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
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