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    Proof-of-Reserves Verification Analyst

    1

    Systematically analyze crypto exchange proof-of-reserves, Merkle proofs, and liability coverage gaps.

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    Proof-of-Reserves Verification Analyst

    Proof-of-Reserves Verification Analyst

    Example session with this skill installed

    Analyze the latest Proof of Reserves for BitCrest Exchange from Oct 2023. They claim 1:1 backing for BTC and ETH using a Merkle tree, but users are reporting issues with the verification tool.

    • Read your context and instructions
    • Compiled the proof-of-reserves verification analyst

    Analysis of BitCrest Exchange Proof-of-Reserves (PoR) disclosure for October 2023 is complete. The assessment focuses on the reported 1:1 backing claims and the reported failures in the user verification tool.

    Proof-of-Reserves Verification Report: BitCrest (Oct 2023)

    ComponentStatus/FindingsConfidence
    Evidence InventorySnapshot 2023-10-15. Assets: BTC, ETH. Provider: Self-reported management data.Low
    Reserve Evidence42,000 BTC, 580,000 ETH reported across 12 known wallets. Ownership proof not provided.Moderate
    Merkle MethodologyLeaf construction includes hashed UID + Balance. Root published on official blog.Moderate
    Liability CoverageExcludes "Institutional Prime" accounts and margin debt. Scope is partial.Low
    User VerificationReports of "Hash mismatch" in JS verification tool. Reproducibility is currently broken.Insufficient
    Custody Concentration85% of ETH held in a single multi-sig. High dependency on Lido (stETH).Low

    Asset Coverage Analysis

    BitCrest claims 102% coverage for BTC and 101% for ETH. However, the exclusion of Institutional Prime liabilities suggests the actual liability population is larger than the Merkle tree reflects. Without these accounts, the coverage ratio is a management-prepared figure rather than a total solvency proof.

    Confidence Assessment: Low

    The rating is Low due to the failure of the independent verification tool and the explicit exclusion of high-value institutional liabilities. Stale data (snapshot is >30 days old) further degrades the reliability of the current reserve status.

    Next steps

    1. Request a technical breakdown of the JS verification tool error from BitCrest engineering.
    2. Confirm if Institutional Prime liabilities are held in segregated or commingled accounts.
    3. Obtain on-chain message signing or Satoshi tests to verify control of the 12 listed wallets.

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

    About this skill

    Assess crypto exchange proof-of-reserves (PoR) disclosures with professional rigor. This skill provides a systematic framework for researchers and institutional analysts to verify what the evidence actually supports and where the gaps lie.

    What it does

    • Inventory disclosures by cataloging URLs, snapshot dates, and specific claims from providers or management.
    • Audit Merkle methodologies to check account inclusion, hashing logic, and independent user verification workflows.
    • Analyze liability coverage by identifying excluded entities, products, or negative balance adjustments in reported figures.
    • Evaluate custody risks by reviewing concentration across chains, stablecoin issuers, and third-party custodians.
    • Calculate confidence ratings using a rubric that weighs evidence freshness, independence, and reproducibility.

    How it works

    1. Input disclosure data including URLs, snapshot dates, covered assets, and attestation documents.
    2. Review methodology for reserve evidence, Merkle tree construction, and liability measurement.
    3. Identify gaps in independent verification, auditor independence, and asset/liability alignment.
    4. Generate the report covering concentration risks, freshness notes, and unresolved questions.

    Frameworks & tools

    This skill utilizes standard cryptographic accounting principles, Merkle-tree verification logic, and institutional risk assessment frameworks for digital asset custody.

    Why this beats prompting it yourself

    Generic prompts often confuse proof-of-assets with solvency. This skill enforces a strict analytical boundary, preventing the hallucination of figures and ensuring liabilities are not overlooked when an exchange only discloses on-chain wallets.

    Use cases

    • Review monthly PoR updates to track changes in asset-to-liability ratios.
    • Verify the reproducibility of Merkle proofs for retail user accounts.
    • Conduct due diligence on exchange custody concentration and bridge dependencies.
    • Identify specific questions for exchange support regarding missing chain data.

    Known limitations

    Does not perform live on-chain scraping or cryptographic execution. Requires manual input of disclosure URLs or files for analysis. Final outputs are analytical support, not formal audits or investment advice.

    Requires user-provided disclosure data. Cannot perform live on-chain execution or cryptographic hashing. Does not provide legal or investment advice.

    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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    Listed22 days ago

    What's inside

    Frequently Asked Questions

    Unlike generic AI which often conflates 'proof-of-assets' with 'solvency,' this skill uses a specialized framework to identify liability gaps, excluded products, and negative balance adjustments that standard prompts miss.

    No, this skill is designed for deep analysis rather than live tracking; you provide the URLs, snapshots, or disclosure documents, and the agent performs a systematic audit of that specific data.

    The skill is compatible with most major LLMs that support document analysis and long-form reasoning, allowing you to integrate these professional risk frameworks into your existing workflow.

    You receive the full analytical logic, the Merkle-tree verification rubric, and a structured reporting template designed to produce institutional-grade risk assessments.

    Yes, the skill is updated periodically to reflect evolving industry standards for proof-of-reserves, including new Merkle Sum Tree methodologies and emerging disclosure trends.

    New in Web3 & Crypto