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tech-fe-aiusd

aiusd-pro

by tech@aiusd · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install aiusd-pro
Description
AIUSD Pro — AI-powered trading agent with built-in reasoning. Use when user wants to trade, check balances, or manage positions through natural language conv...
README (SKILL.md)

AIUSD Pro

Chat with AIUSD using natural language. This skill delegates to a backend AI agent — you do NOT need to understand AIUSD internals or construct specific commands.

CLI entry point

All commands in this skill use npx -y aiusd-pro as the CLI prefix. This works without any global installation — npx resolves the package from npm automatically.

If aiusd-pro is already in PATH (via npm install -g aiusd-pro), you may use aiusd-pro directly instead.

When to use

Use when the user wants anything related to AIUSD or trading through natural conversation. Examples:

  • "What are my balances?"
  • "Buy 100 USDC worth of SOL"
  • "Stake 500 AIUSD"
  • "Long ETH 5x on HyperLiquid"
  • "Show trending tokens"

Authentication

If npx -y aiusd-pro send fails with auth error, run login:

  1. npx -y aiusd-pro login --browser → prints JSON with url and session_id
  2. Send the url to the user (NEVER fabricate it)
  3. npx -y aiusd-pro login --poll-session \x3Csession_id> → waits for sign-in

Usage

Send a message (background mode)

Backend agent operations take 10-300 seconds (tool calls, reasoning, trading, transaction confirmation). Always use background mode to avoid exec timeout cutting off output:

bash background:true command:"npx -y aiusd-pro send 'user request here'"

Returns a sessionId. Then poll for completion and retrieve output:

process action:poll sessionId:\x3Cid>
process action:log sessionId:\x3Cid>

Complete pattern:

  1. Start: bash background:true command:"npx -y aiusd-pro send 'What are my balances?'" → returns sessionId: abc123
  2. Wait & poll: process action:poll sessionId:abc123 → returns running or exited
  3. Get output: process action:log sessionId:abc123 → returns the agent's full response text
  4. Relay output to user as-is

Multi-turn conversation

Session context is maintained automatically across send calls. The backend agent remembers all previous messages in the session.

Confirmation flow example:

  1. bash background:true command:"npx -y aiusd-pro send 'Buy 100 USDC worth of SOL'"
  2. Poll + log → agent responds: "Will buy ~0.65 SOL at $153. Confirm?"
  3. Relay to user, user says "yes"
  4. bash background:true command:"npx -y aiusd-pro send 'yes'"
  5. Poll + log → agent responds: "Done. TX: abc123..."
  6. Relay to user

Follow-up questions work the same way — just send the user's response. The backend has full conversation history.

To start a fresh conversation:

bash command:"npx -y aiusd-pro session reset"

Cancel

bash command:"npx -y aiusd-pro cancel"

Session management

bash command:"npx -y aiusd-pro session new"
bash command:"npx -y aiusd-pro session list"
bash command:"npx -y aiusd-pro session reset"

Rules

  1. Always use background:true for send — agent responses take 10-300s.
  2. Pass user intent as natural language — do NOT interpret or construct specific trading commands.
  3. Backend agent handles all domain knowledge, tool selection, and multi-step reasoning.
  4. Relay stdout to user as-is — already formatted for humans. The output includes a browser link at the end (e.g. https://aiusd.ai/chat/\x3Csession-id>). Always include this link when relaying the response — it lets browser-login users continue the conversation in the web UI.
  5. If response asks for confirmation or more info, relay to user, then send their reply back (same session, same pattern).
  6. Run commands sequentially — only one active send per session.
  7. Short commands (session reset, cancel, login) can run foreground (no background:true needed).
Usage Guidance
This skill functions by invoking 'npx -y aiusd-pro', which downloads and runs an npm package at runtime — a significant supply-chain risk. Before installing or using it: verify the npm package and its source repository/homepage, review the package code (or prefer a vetted binary), avoid providing private keys or wallet seeds, run the CLI in a sandboxed environment if possible, and confirm what the backend will do with your account/session data. If you cannot verify the package origin, treat it as untrusted and do not use it for real trading or with any real funds.
Capability Analysis
Type: OpenClaw Skill Name: aiusd-pro Version: 1.0.0 The skill instructions in SKILL.md direct the AI agent to execute shell commands by wrapping raw user input in single quotes (e.g., `npx -y aiusd-pro send 'user request here'`), which is a classic shell injection vulnerability. Furthermore, the skill relies on `npx -y` to fetch and execute code from the npm registry at runtime, introducing a supply chain risk. While these patterns are likely intended for functionality, the lack of input sanitization and the execution of unverified remote code are high-risk behaviors.
Capability Assessment
Purpose & Capability
Name/description (AI trading CLI) aligns with requiring node and using a CLI. However the package provenance is missing (no homepage/source) and the registry owner is unknown — for a financial/trading tool that matters for trust.
Instruction Scope
Runtime instructions tell the agent to run npx -y aiusd-pro commands, always relay stdout 'as-is' including a browser link, and run long-running background tasks. This delegates trading decisions and execution to a remote backend and asks the agent to expose returned links and outputs verbatim — increasing chance of leaking sensitive data or following untrusted links.
Install Mechanism
There is no install spec, but the SKILL.md explicitly uses npx -y aiusd-pro, which downloads and executes code from the npm registry at runtime. That is a high-risk dynamic install (supply-chain/execution of unvetted code), especially given no homepage or repo to audit.
Credentials
The skill declares no required environment variables or credentials, which is proportionate on its face. But a trading tool will likely require browser-based authentication or wallet connections at runtime — the instructions rely on a login flow (browser + session_id) without clarifying what credentials or keys may be exposed to the backend.
Persistence & Privilege
always:false and no install/write steps are declared. The skill does not request persistent system privileges. It can run autonomously (platform default), which increases blast radius but is not by itself a disqualifying issue.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install aiusd-pro
  3. After installation, invoke the skill by name or use /aiusd-pro
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
AIUSD Pro v1.0.1 - Added SKILL.md with comprehensive documentation and usage instructions. - Clarified natural language usage for trading, account management, and queries. - Detailed authentication, session, and background process handling guidance. - Included explicit rules for relaying user input and agent output. - Described multi-turn conversation patterns and session management commands.
Metadata
Slug aiusd-pro
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is aiusd-pro?

AIUSD Pro — AI-powered trading agent with built-in reasoning. Use when user wants to trade, check balances, or manage positions through natural language conv... It is an AI Agent Skill for Claude Code / OpenClaw, with 244 downloads so far.

How do I install aiusd-pro?

Run "/install aiusd-pro" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is aiusd-pro free?

Yes, aiusd-pro is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does aiusd-pro support?

aiusd-pro is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created aiusd-pro?

It is built and maintained by tech@aiusd (@tech-fe-aiusd); the current version is v1.0.0.

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