
Description
web-research is an agent skill from the langchain-ai deepagents project, listed on skills.sh. It searches several web sources, synthesises the findings and produces a research report with citations, using delegated subagents. The process begins with a plan. The agent creates a dedicated research folder for the work, so that files do not clutter the working directory, then breaks the question into distinct subtopics that do not overlap, and saves the plan before it delegates anything. Subagents then research each subtopic and save their findings, and the agent synthesises them into a cited report. The skill is for analysts, students and developers who need a sourced overview of a topic, rather than a single answer from the model. Because the plan is saved first and each part is delegated, the research can be checked step by step. The listing shows a Snyk Warn result, so read that before installing.…
Highlights
- Dedicated research folder per topic
- Non-overlapping subtopics
- Delegated subagents for each part
- Cited synthesis report
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web-research FAQ
What does the web-research skill produce?
A research report synthesised from several web sources, with citations, prepared by delegated subagents.
How do I install it?
Run: npx skills add https://github.com/langchain-ai/deepagents --skill web-research
What happens first?
The agent creates a research folder, breaks the question into subtopics and saves the plan before delegating.
Where are the research files kept?
In a dedicated folder relative to the working directory, to keep the work organised.
Has it been checked for security?
skills.sh lists three audits: Gen Agent Trust Hub Pass, Socket Pass and Snyk Warn. A Warn or Fail is worth reading before you install.
What are the best web-research alternatives?
Popular alternatives to web-research include firecrawl-deep-research, deep-research and literature-review. See all web-research alternatives





