Skills web-research
📦

web-research

Content revision r1 Safe ⚙️ External commands

Research the Web with Structured Subagents

Complex web research can become scattered and hard to verify. This skill plans subtopics, delegates searches, and synthesizes cited findings into a clear answer.

Supports: Claude Codex Code(CC)
🥉 78 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request
Review the Skillstore skill "web-research" from https://skillstore.io/skills/langchain-ai-web-research.md and its manifest at https://skillstore.io/api/skills/langchain-ai-web-research/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/langchain-ai-web-research.md Signed manifest GET /api/skills/langchain-ai-web-research/manifest Signed lockfile GET /api/skills/langchain-ai-web-research/lockfile

Test it

Using "web-research". Research recent adoption trends for vector databases.

Expected outcome:

A concise report covering adoption drivers, notable vendors, recent signals, source links, and research limits.

Using "web-research". Compare three customer support automation platforms.

Expected outcome:

A comparison brief covering features, pricing signals, integrations, tradeoffs, and cited public sources.

Using "web-research". Investigate whether two public claims about a market are supported.

Expected outcome:

A synthesis that separates supported evidence, disputed evidence, source quality concerns, and remaining gaps.

Security Audit

Safe
v9 • 7/9/2026 Open versioned report

The static findings are false positives caused by Markdown backticks, code fences, tool names, and example file paths in SKILL.md. No prompt injection, credential access, unauthorized exfiltration, or malicious command execution intent was found.

1
Files scanned
103
Lines analyzed
0
Review items
0
False positives ignored

Risk Factors

⚙️ External commands (13)
SKILL.md:8 SKILL.md:25-27 SKILL.md:27-32 SKILL.md:32 SKILL.md:47-49 SKILL.md:49-55 SKILL.md:55-60 SKILL.md:60-67 SKILL.md:67-68 SKILL.md:68 SKILL.md:69-77 SKILL.md:77 SKILL.md:79
No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: codex View Audit History →
Share & cite this report

Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.

Open versioned report
Security Assessment

Copy report link

https://skillstore.io/skills/langchain-ai-web-research/audits/9?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown badge

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Embed card

<iframe src="https://skillstore.io/embed/skills/langchain-ai-web-research.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>
Academic citations (APA · BibTeX · CFF)

APA citation

langchain-ai. (2026). web-research security audit report (audit version 9) [Author version unspecified]. Skillstore. https://skillstore.io/skills/langchain-ai-web-research/audits/9

BibTeX citation

@techreport{langchain-ai-langchain-ai-web-research-2026, author = {langchain-ai}, title = {web-research security audit report (audit version 9)}, institution = {Skillstore}, year = {2026}, number = {9}, url = {https://skillstore.io/skills/langchain-ai-web-research/audits/9}, note = {Author version unspecified} }

CITATION.cff

cff-version: 1.2.0 message: "If you use this Skill, cite its author and this versioned security audit report." title: "web-research security audit report (audit version 9)" version: "unspecified" type: report authors: - name: "langchain-ai" date-released: "2026-07-09" url: "https://skillstore.io/skills/langchain-ai-web-research/audits/9" identifiers: - type: other value: "skillstore:langchain-ai-web-research:audit:9" description: "Skillstore immutable audit report identifier"

Compare variants

2 installable variants

Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.

Why this variant is first

Higher Skillstore usage
langchain-ai Recommended Current

langchain-ai-web-research

Skillstore Score 78
Evidence Confidence High
Skillstore usage 16
Updated

2026-08-21

DougTrajano

dougtrajano-web-research

Skillstore Score 78
Evidence Confidence High
Skillstore usage 11
Updated

2026-08-21

Skillstore Score

Why this score Evidence Confidence: High
55
Architecture
85
Maintainability
87
Content
70
Community
83
Spec Compliance

What You Can Build

Competitive Landscape Brief

Compare vendors, positioning, pricing signals, and recent announcements using multiple cited sources.

Policy and Regulatory Scan

Gather current public information across agencies, news sources, and expert commentary for a focused policy question.

Technical Topic Survey

Research tools, standards, tutorials, and implementation guidance before drafting technical documentation.

Try These Prompts

Basic Fact Research 
Use the web-research skill to answer: [question]. Keep the scope simple and cite the main sources.
Compare Options 
Use the web-research skill to compare [option A], [option B], and [option C] for [criteria]. Create a concise synthesis with source URLs.
Build a Market Brief 
Use the web-research skill to research [market or topic]. Split the work into demand, competitors, recent news, and risks. Produce an executive brief.
Audit Conflicting Claims 
Use the web-research skill to investigate these claims: [claims]. Assign separate subagents to supporting evidence, opposing evidence, and source quality. Summarize confidence and gaps.

Best Practices

  • Define a narrow research question before invoking the skill.
  • Use distinct subtopics so subagents do not duplicate searches.
  • Review source URLs and gaps before relying on the final report.

Avoid

  • Asking for broad research without a clear decision or question.
  • Letting several subagents investigate the same subtopic.
  • Treating search snippets as evidence without reading sources.

Frequently Asked Questions

What does this skill help with?
It helps plan web research, delegate subtopics, collect findings, and synthesize cited answers.
Does it work with Claude, Codex, and Claude Code?
Yes. The report lists support for Claude, Codex, and Claude Code.
Does it browse the web directly?
It instructs research subagents to use web_search and fetch_url tools when those tools are available.
Where are research files saved?
The skill saves plans, findings, and optional reports in a local research folder for the topic.
How many subagents does it use?
It recommends up to three parallel research subagents, each with a limited search budget.
Can it guarantee complete accuracy?
No. Results depend on available sources, search quality, and review of citations and gaps.

Developer Details

License

MIT

Skillstore revision

r1

Version notice

The author did not declare a version.

Repository

https://github.com/langchain-ai/deepagents/tree/master/libs/deepagents-cli/examples/skills/web-research

Ref

0519034dad657fb1f7706e0550e962beeda73fdf

Maintenance freshness

7/18/2026

Usage

14 downloads · 216 views

File structure

📄 SKILL.md