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    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    money agent safety harness

    2

    A 6-layer engineering containment gate for agents that move real money.

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    See it in action

    You say

    Review this Binance trading bot's safety setup. It uses CCXT. I want to move $10k into its account tomorrow. Is it safe?

    Your agent does

    LAYER 1: FAIL. The preflight uses .get("canWithdraw", False) which fails open if the field is missing. LAYER 6: RED. No clientOrderId found in order submission, risking double positions on retry. Verdict: DO NOT FUND. Fix the fail-open check and implement idempotency first.

    What you get

    Establish a hard bound on what a compromised or rogue credential can withdraw.Verify that kill switches work even when the agent's primary state is corrupted.Prevent "restart amnesia" from causing unintended trades after a process crash.Audit deploayed environments against safe code defaults for risky behavior flags.

    About this skill

    The problem

    Developers gate autonomous agents on profitability while ignoring containment. When an agent is live, the first time you learn its "blast radius" is usually during an incident where a withdrawal-enabled key or a state mismatch drains the account.

    What it does

    • Enforces a 6-layer engineering gate to bound the financial risk of any agent that moves real funds.
    • Verifies "capability floors" by querying venue permission endpoints with strict fail-closed logic.
    • Audits paper-trading harnesses for a failure inventory rather than just profit/loss numbers.
    • Identifies data-dependency traps where kill switches rely on the same corruptible state they are meant to guard.
    • Validates state reconciliation loops to prevent losses from duplicate submissions or restart amnesia.

    Frameworks & tools

    Designed for any agentic execution stack. Includes specific verification patterns for venue APIs like Binance and libraries like CCXT.

    Why this beats prompting it yourself

    Most prompts fall into "safety theater" by accepting absent fields as safe. This skill specifically hunts for fail-open defects, such as .get(field, False), that human reviewers and standard LLMs habitually overlook. It transforms a vague "is this safe?" into a rigorous, evidence-based engineering audit.

    Use cases

    • Pre-live audit before funding a new trading bot or payment agent.
    • Blast radius assessment for inherited or "vibe-coded" agents already running in production.
    • Post-incident analysis to identify which containment layer failed and how to patch it.
    • Creating a deployment gate that prevents bot boot-up if API permissions cannot be positively verified.

    Known limitations

    Not a judge of strategy or profitability. Does not replace legal or regulatory analysis for fund management. Some venues lack permission endpoints, requiring mandatory compensating controls.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 29 days ago

    Listed29 days ago
    Updated19 days ago

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