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nansen-web-fetcher▌

nansen-ai/nansen-cli · updated Apr 8, 2026

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$npx skills add https://github.com/nansen-ai/nansen-cli --skill nansen-web-fetcher
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summary

Fetch and analyze content from one or more URLs using Gemini 2.5 Flash with URL context.

skill.md

Web Fetch

Fetch and analyze content from one or more URLs using Gemini 2.5 Flash with URL context.

nansen web fetch https://nansen.ai --question "What products does Nansen offer?"
nansen web fetch --url https://example.com --url https://other.com --question "Compare these two sites"
nansen web fetch https://docs.uniswap.org/contracts/v4/overview --question "What changed in v4?"

Positional args and --url flags can be combined — all become URLs to fetch.

Flag Values Default Purpose
--url URL — URL to fetch (repeatable for multiple URLs, up to 20)
--question string required Question to answer about the URL content
--pretty flag off Human-readable JSON

Returns:

  • analysis — AI-generated answer to your question
  • retrieved_urls — URLs successfully fetched
  • failed_urls — URLs that could not be retrieved

Tip: Combine with web search — search first to find relevant URLs, then fetch to get full content.

# Find and analyze in two steps
nansen web search "uniswap v4 launch" --num-results 3 --fields link
nansen web fetch https://blog.uniswap.org/... --question "What are the key changes?"

Note: 30s timeout. Paywalled or bot-blocked pages may appear in failed_urls.

how to use nansen-web-fetcher

How to use nansen-web-fetcher on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add nansen-web-fetcher
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/nansen-ai/nansen-cli --skill nansen-web-fetcher

The skills CLI fetches nansen-web-fetcher from GitHub repository nansen-ai/nansen-cli and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/nansen-web-fetcher

Reload or restart Cursor to activate nansen-web-fetcher. Access the skill through slash commands (e.g., /nansen-web-fetcher) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

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Use Cases▌

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

✓

Save 3-5 hours/week on communication overhead

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client
  • ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • ›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • ⚠Not validating competitive research—verify facts before sharing
  • ⚠Accepting user stories without involving engineering team
  • ⚠Over-relying on frameworks without qualitative judgment
  • ⚠Not customizing outputs to company culture and communication style
  • ⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • −Don't publish competitive analysis without fact-checking
  • −Don't finalize user stories without engineering review
  • −Don't make prioritization decisions solely on AI scoring
  • −Don't skip customer validation of generated requirements
  • −Don't ignore company-specific context and culture

💡 Pro Tips

  • ★Provide context: company goals, constraints, customer feedback
  • ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • ★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path▌

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.4★★★★★64 reviews
  • ★★★★★Isabella Anderson· Dec 28, 2024

    nansen-web-fetcher fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Henry Agarwal· Dec 8, 2024

    Solid pick for teams standardizing on skills: nansen-web-fetcher is focused, and the summary matches what you get after install.

  • ★★★★★William Smith· Dec 4, 2024

    I recommend nansen-web-fetcher for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Benjamin Sethi· Nov 27, 2024

    nansen-web-fetcher has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Sophia Anderson· Nov 23, 2024

    Useful defaults in nansen-web-fetcher — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Layla Taylor· Nov 19, 2024

    Registry listing for nansen-web-fetcher matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★William Sharma· Nov 11, 2024

    Registry listing for nansen-web-fetcher matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Anika Harris· Oct 18, 2024

    Keeps context tight: nansen-web-fetcher is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Anaya Brown· Oct 14, 2024

    nansen-web-fetcher reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Sophia Ghosh· Oct 14, 2024

    nansen-web-fetcher is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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