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- money agent safety harness
Works with the AI tools you already use
money agent safety harness
A 6-layer engineering containment gate for agents that move real money.
$30
money agent safety harness
Example session with this skill installed
Review this Binance trading bot's safety setup. It uses CCXT. I want to move $10k into its account tomorrow. Is it safe?
- Read your context and instructions
- Compiled the money agent safety
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.
Connects securely to your tools. The creator never sees your data.
What you get
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
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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Fresh listing
Recently published to Agensi
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Trust & safety
Security scanned
Verified clean 17 days ago
- Passed all security checks, Safe to install