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vswarm-ai

VerdictSwarm

by Dev 2 - SentienLabs · GitHub ↗ · v2.0.0 · MIT-0
cross-platform ✓ Security Clean
391
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Install in OpenClaw
/install verdictswarm
Description
Fight AI with AI. 6 adversarial AI agents debate crypto token risk before your agent trades. Rug-pull detection, security audits, consensus scoring via MCP.
README (SKILL.md)

VerdictSwarm — Multi-Agent Token Intelligence

Get a second, third, fourth, fifth, and sixth opinion on any crypto token.

Six specialized AI agents independently analyze your token from different angles, then debate their findings across multiple rounds before reaching consensus. You see the full analysis and any disagreements.

"What do you think of this token?" → 6 agents analyze → Consensus reached → You decide

Free tier available. 10 quick scans per day, no API key needed.

How It Works

Each agent specializes in a different aspect of token analysis:

Agent Focus Area
Security Bot Smart contract permissions, mint/freeze authority, honeypot detection
Tokenomics Bot Supply mechanics, holder concentration, distribution
Social Bot Community signals, social presence, engagement patterns
Technical Bot On-chain metrics, liquidity analysis, trading patterns
Macro Bot Market context, comparative analysis, sector trends
Devil's Advocate Challenges every verdict, finds what others missed

MCP Tools

Install via MCP for agent integration:

pip install verdictswarm-mcp
Tool Description
scan_token Full 6-agent consensus risk scan
get_quick_score Fast cached score (0-100) for pre-trade screening
check_rug_risk Rug-pull focused security check (SAFE/CAUTION/DANGER)
get_token_report Shareable markdown report
get_pricing View pricing and Solana payment details
verify_payment Verify USDC payment on Solana

Quick Start (API)

curl -s "https://api.vswarm.io/api/scan/quick" \
  -H "Content-Type: application/json" \
  -d '{"address": "JUPyiwrYJFskUPiHa7hkeR8VUtAeFoSYbKedZNsDvCN", "chain": "solana"}'

Scoring Guide

  • 80-100: LOW risk (Grade A)
  • 70-79: LOW-MEDIUM (Grade B)
  • 60-69: MEDIUM (Grade C)
  • 40-59: HIGH (Grade D)
  • 0-39: CRITICAL (Grade F)

Pricing

Tier Cost Details
Free $0 10 quick scans/day
Quick Scan 0.02 USDC Cached score + metadata
Rug Check 0.05 USDC Security-focused verdict
Full Scan 0.10 USDC All 6 agents, full debate

Pay per scan with USDC on Solana, or use a free API key from vswarm.io.

Supported Chains

Solana, Ethereum, Base, BSC

Agent Instructions

When the user asks to analyze or check a crypto token, use the MCP tools (preferred) or call the API directly. Present the verdict score, risk level, and consensus summary. If agents disagreed, highlight the differences. Include the report URL for the full breakdown.

Usage Guidance
This skill appears coherent with its stated purpose, but take ordinary precautions: 1) Confirm the vendor domain (api.vswarm.io) is legitimate before sending token addresses or payment info. 2) Never share private keys or wallet seed phrases; the API should only receive public addresses/tx hashes. 3) If you plan to pip install verdictswarm-mcp, inspect the package source (PyPI page or upstream Git repo) to ensure it is trustworthy. 4) Be aware of pay-per-scan costs (USDC on Solana) and verify any on-chain payment flows independently. If you need higher assurance, ask the publisher for a homepage, source repository, or signed release artifacts before use.
Capability Assessment
Purpose & Capability
Name/description (multi-agent token analysis) align with the SKILL.md: it instructs calls to https://api.vswarm.io and describes MCP helpers for scanning, scoring, and reports. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
Runtime instructions are narrowly scoped: use MCP tools or call the vendor API, present score/consensus, and include report URL. The skill does not ask the agent to read local files, access unrelated env vars, or transmit data to unexpected endpoints beyond api.vswarm.io.
Install Mechanism
The SKILL.md recommends a pip package (verdictswarm-mcp) but provides no install spec; that is expected for an instruction-only skill. Installing third-party Python packages can execute arbitrary code — users should review the package/source (e.g., PyPI listing or upstream repository) before running pip install.
Credentials
No environment variables, credentials, or config paths are required. The suggested operations (API calls and optional pip package) do not demand secrets from the user. Payment operations referenced (USDC on Solana) imply on-chain tx verification but do not request private keys.
Persistence & Privilege
This is an instruction-only skill with no install spec that would write persistent artifacts. always is false and there is no request to modify system or other skills' configurations.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install verdictswarm
  3. After installation, invoke the skill by name or use /verdictswarm
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.0.0
Updated to MCP tools, new API URL (api.vswarm.io), current agent names, accurate pricing, added all 6 MCP tools
v1.0.4
Consistent API endpoint references
v1.0.3
Improved documentation and agent descriptions
v1.0.2
Fix: soften security scanner trigger language
v1.0.1
Fix: declare network requirement, clarify pricing language
v1.0.0
- Initial release of VerdictSwarm: a crypto token scanner powered by six independent AI agents debating risk and fundamentals. - No API key needed for free tier; scan tokens instantly with 2-agent quick analysis. - Agents cover security, market action, tokenomics, community, technicals, and overall risk. - Consensus and dissent are presented, giving detailed context and highlighting disagreements. - Each scan generates a shareable report URL with full debate details. - PRO tier available for unlimited, full 6-agent scans via x402 USDC micropayments. - Also accessible via web app and Telegram bot; raw data available through `token-profiler` skill.
Metadata
Slug verdictswarm
Version 2.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 6
Frequently Asked Questions

What is VerdictSwarm?

Fight AI with AI. 6 adversarial AI agents debate crypto token risk before your agent trades. Rug-pull detection, security audits, consensus scoring via MCP. It is an AI Agent Skill for Claude Code / OpenClaw, with 391 downloads so far.

How do I install VerdictSwarm?

Run "/install verdictswarm" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is VerdictSwarm free?

Yes, VerdictSwarm is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does VerdictSwarm support?

VerdictSwarm is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created VerdictSwarm?

It is built and maintained by Dev 2 - SentienLabs (@vswarm-ai); the current version is v2.0.0.

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