nansen-polymarket-insider-scan

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

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$npx skills add https://github.com/nansen-ai/nansen-cli --skill nansen-polymarket-insider-scan
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summary

Answers: "Are there wallets with suspicious trading patterns in this Polymarket market?"

skill.md

PM Suspicious Wallet Scanner

Answers: "Are there wallets with suspicious trading patterns in this Polymarket market?"

# 1. Find the resolved market
nansen research prediction-market market-screener --query "<market name>" --status closed --limit 5
# → market_id, question, volume, last_trade_price

# 2. Get top winners (positive PnL) — paginate if needed, keep per_page <= 10
MID=<market_id>
nansen research prediction-market pnl-by-market --market-id $MID --limit 10
# → address (proxy), owner_address (wallet), side_held, net_buy_cost_usd, total_pnl_usd

# 3. For each top winner, run these three calls (use proxy address for PM, owner for profiler):
PROXY=<address_from_pnl>
nansen research prediction-market trades-by-address --address $PROXY --limit 100
# → market_id, market_question, side, price, size, usdc_value, taker_action, timestamp

OWNER=<owner_address_from_pnl>
nansen research profiler historical-balances --address $OWNER --chain polygon --days 365 --sort block_timestamp:asc --limit 100
# → block_timestamp, value_usd, token_symbol — first non-zero value_usd = wallet funding date

nansen research profiler labels --address $OWNER --chain polygon
# → label, category

For each winner, compute ROI = total_pnl_usd / net_buy_cost_usd * 100 (skip ROI flags if net_buy_cost_usd <= 0), then score (0–13). Within each tier group, apply only the highest matching flag:

Flag Pts Trigger
NEW_WALLET 3 First funded within 7 days of now
YOUNG_WALLET 1 First funded 8–28 days ago (skip if NEW_WALLET fires)
SINGLE_MARKET 3 trades-by-address shows only 1 distinct market_id
FEW_MARKETS 1 2–3 distinct market_ids (skip if SINGLE_MARKET fires)
EXTREME_ROI 3 ROI >= 500%
HIGH_ROI 2 ROI 200–499% (skip if EXTREME_ROI fires)
LATE_ENTRY 2 Any trade on this market at price >= 0.80
LARGE_POSITION 2 net_buy_cost_usd >= $10k
KNOWN_ENTITY -2 Has Nansen labels

Flagged at score >= 3. High risk at >= 7. High-confidence suspicious pattern: NEW_WALLET + SINGLE_MARKET + EXTREME_ROI (score 9+).

If owner_address is invalid (e.g. "0x"), use the proxy address for profiler calls too. If historical-balances returns no records with value_usd > 0, the wallet may predate the 365-day window — treat wallet age as unknown and skip NEW_WALLET / YOUNG_WALLET flags. Pause ~1.5s between wallets to avoid rate limits. Skip wallets that error and continue scanning.

how to use nansen-polymarket-insider-scan

How to use nansen-polymarket-insider-scan 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-polymarket-insider-scan
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-polymarket-insider-scan

The skills CLI fetches nansen-polymarket-insider-scan 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-polymarket-insider-scan

Reload or restart Cursor to activate nansen-polymarket-insider-scan. Access the skill through slash commands (e.g., /nansen-polymarket-insider-scan) 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.

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

4.640 reviews
  • Neel Wang· Dec 8, 2024

    Registry listing for nansen-polymarket-insider-scan matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Fatima Desai· Nov 27, 2024

    nansen-polymarket-insider-scan fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Fatima Dixit· Nov 19, 2024

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

  • James Thompson· Nov 11, 2024

    nansen-polymarket-insider-scan has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Yusuf Sanchez· Oct 18, 2024

    We added nansen-polymarket-insider-scan from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Yusuf Perez· Oct 10, 2024

    nansen-polymarket-insider-scan has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Chinedu Thompson· Oct 2, 2024

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

  • Chinedu Patel· Sep 25, 2024

    We added nansen-polymarket-insider-scan from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • James Martin· Sep 21, 2024

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

  • Henry Patel· Sep 9, 2024

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

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