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    Crypto Due Diligence Agent

    1

    An evidence-based research agent for crypto due diligence, tokenomics audits, and risk assessment.

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    Crypto Due Diligence Agent

    Crypto Due Diligence Agent

    Example session with this skill installed

    Perform due diligence on the $ARB (Arbitrum) token on Ethereum. Focus on upcoming unlocks and governance concentration. Contract: 0x912ce59144191c1204e64559fe8253a0e49e6548.

    • Read your context and instructions
    • Compiled the crypto due diligence

    I have completed the due diligence report for Arbitrum ($ARB). The research confirms the contract identity on Ethereum and maps the current circulating supply against the scheduled March cliff unlocks.

    Arbitrum ($ARB) Due Diligence Report

    Asset Identity

    • Ticker: ARB
    • Chain: Ethereum Mainnet
    • Contract: 0x912ce59144191c1204e64559fe8253a0e49e6548
    • Identity Confidence: VERIFIED

    Key Metrics

    MetricValueSource/Timestamp
    Circulating Supply1,275,000,000Coingecko / 2024-05-20
    Total Supply10,000,000,000On-chain / 2024-05-20
    FDV$10.2BMarket Price ($1.02)

    Evidence Ledger (Excerpts)

    {
      "claim_id": "CLM-ARB-001",
      "claim": "Upcoming cliff unlock for team and investors on March 16.",
      "status": "VERIFIED",
      "sources": [
        {
          "url": "https://docs.arbitrum.foundation/tokenomics",
          "source_type": "primary",
          "supporting_excerpt_or_metric": "1.11 billion ARB tokens scheduled for release to team and investors."
        }
      ],
      "confidence": "HIGH"
    }
    

    Red-Flag Register

    Severity: MEDIUM | Evidence: Significant governance concentration in large delegate addresses. Impact: Potential for proposal manipulation or quorum dominance.

    Severity: HIGH | Evidence: Upcoming unlock represents ~87% of current circulating supply. Impact: Substantial potential sell-pressure.

    Transparent Scorecard

    • Tokenomics Clarity: 4.5/5 (Transparent but high FDV/Circ ratio)
    • Security & Governance: 4.0/5 (Multiple audits, active DAO, but concentrated)
    • Evidence Quality: HIGH

    Next steps

    1. Cross-reference the 1.11B unlock against current exchange depth to model slippage.
    2. Monitor governance forum for proposals regarding the Treasury's 3.5B ARB allocation.
    3. Verify if any major investors have moved tokens to CEX deposit addresses in anticipation of cliffs.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Crypto research is plagued by marketing noise, ambiguous tokenomics, and unreliable secondary data. This skill enables an agent to execute a structured, evidence-first due diligence process that separates verified facts from speculative claims.

    What it does

    • Identity verification confirms chains, contract addresses, and ticker collisions to prevent analysis of fraudulent clones.
    • Tokenomics audit analyzes circulating vs. max supply, emission schedules, and FDV using specific timestamps and formulas.
    • Unlock mapping builds detailed schedules for cliff and linear releases, estimating potential sell-pressure scenarios.
    • Team scrubbing cross-checks contributor histories and professional profiles against repository activity and public disclosures.
    • Market analysis evaluates executable liquidity, bid-ask spreads, and volume concentration across specific trading venues.
    • Security assessment reviews audit scopes, remediation status, admin privileges, and multisig control risks.

    How it works

    1. Intake the project name, ticker, and contract address to anchor the research identity.
    2. Execute the multi-step research workflow covering tokenomics, team, liquidity, and governance.
    3. Map every claim to the Evidence Ledger, labeling findings as VERIFIED, CONFLICTING, or UNKNOWN.
    4. Generate a structured report including a red-flag register, catalyst timeline, and transparent scorecard.

    Frameworks & tools

    This skill is designed for LLMs with browsing capabilities or access to crypto market data APIs and block explorers. It uses a structured JSON Evidence Ledger schema for internal data tracking.

    Why this beats prompting it yourself

    Generic prompts often hallucinate supply numbers or miss hidden admin powers in smart contracts. This skill enforces a "quality gate" system that requires primary source evidence for every high-impact claim, ensuring the agent never conflates marketing fluff with technical reality.

    Use cases

    • Fund due diligence to generate objective pre-investment reports for new tokens.
    • Risk monitoring to track upcoming unlock events and liquidity shifts in a portfolio.
    • Vulnerability triage to assess the actual security impact of reported audit findings.
    • Ecosystem research to verify the legitimacy of teams and contributors in emerging protocols.

    Known limitations

    Does not provide live data access unless the model has active browsing or API tools. It cannot guarantee safety or forecast price moves. Point-in-time research that may become stale rapidly.

    Requires browsing or API access for live metrics. Cannot predict price or guarantee safety. Research is point-in-time. Does not dox private individuals.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Trust & safety

    Security scan

    Security scan passed 13 days ago

    Permissions

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    Listed13 days ago

    What's inside

    Frequently Asked Questions

    The agent uses a structured 'Evidence Ledger' system that labels every data point as Verified, Conflicting, or Unknown, preventing the AI from hallucinating supply numbers or relying on marketing fluff.

    This skill is designed for LLMs with active web browsing capabilities or those connected to crypto market data APIs and block explorers to ensure real-time technical verification.

    The agent requires a project name, ticker, and contract address to anchor its research, preventing 'ticker collision' where it might accidentally analyze a fraudulent clone.

    You receive the complete autonomous research workflow, the structured JSON Evidence Ledger schema for data tracking, and the reporting templates for red-flag registers and catalyst timelines.

    The agent provides point-in-time research based on current block explorer and market data; while it can map future unlock schedules, the report itself is a snapshot and may need to be re-run for high-volatility events.

    No, this skill is strictly an evidence-based research tool for risk assessment and tokenomics verification; it does not provide financial advice or price movement forecasts.

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