Vincent - Trading Engine for agents
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Install on your platform
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Run this in your terminal
terminal$
What we know about this skill
Publisher
HeyVincent-ai
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned heyvincent-ai/agent-skills at 76ae07b11e.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 76ae07b11e
- Manifest
- trading-engine/SKILL.md
- Scanned
- 1 file, 689 lines
About this skill
What it does
The Vincent Trading Engine allows AI agents to execute simulated trades in a cryptocurrency market. It provides real-time price data, order placement functionality (market and limit orders), and portfolio management features. Agents can use this skill to test trading strategies without risking actual funds or integrate automated trading logic into their workflows.
When to use it
- Backtesting Trading Strategies: Evaluate the performance of a new cryptocurrency trading strategy over historical simulated data.
- Agent Training: Train an AI agent to make optimal trading decisions in a controlled environment.
- Portfolio Optimization: Experiment with different asset allocations and rebalancing strategies within a virtual portfolio.
- Risk Management Simulation: Assess how a trading agent would perform under various market conditions (e.g., volatility spikes, sudden price drops).
Key capabilities
- Real-time cryptocurrency price data feed
- Market order execution
- Limit order placement
- Portfolio management and tracking
- Simulated trade history logging
Example prompts
- "Place a market buy order for 0.5 BTC."
- "Set a limit sell order for ETH at $2,500."
- "What is the current value of my portfolio?"
Tips & gotchas
The simulated environment doesn't perfectly replicate real-world market conditions; slippage and transaction fees are not currently modeled. Familiarity with basic cryptocurrency trading terminology (market order, limit order, BTC, ETH) will improve interaction with this skill.