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ZERO Trading
by
squaeragent
· GitHub ↗
· v2.1.0
· MIT-0
181
Downloads
0
Stars
0
Active Installs
10
Versions
Install in OpenClaw
/install zero-trading
Description
trading agent for hyperliquid via zero. evaluates markets through 9 intelligence layers. rejects 97% of setups. the 3% that pass become trades.
Usage Guidance
This skill broadly behaves like a trading integration (network calls to api.getzero.dev and many remote tools), but it also asks the agent to modify your OpenClaw/MCP configuration and references local files and a local LLM. Before installing or running it: 1) Inspect the shipped scripts (scripts/setup.sh and scripts/validate_skills.py) — do not run them until you review their actions. 2) Backup your OpenClaw config (~/.openclaw/openclaw.json, ~/.openclaw/mcp.json, ~/.config/mcp/servers.json) so a bad write can be reverted. 3) Confirm you are comfortable the skill may add/overwrite an 'zero' MCP server entry and that the endpoint (https://api.getzero.dev/mcp) is expected. 4) If you won't run local components (Ollama/cross-timeframe agent), expect some features to auto-pass or be unavailable; ask the developer which parts require local services. 5) Prefer running initial trials in paper mode only and keep the skill's proactive pushes restricted until you audit its behavior. 6) Ask the publisher for a signed release or to show the contents of setup.sh/validate_skills.py if you lack the expertise to audit them yourself.
Capability Analysis
Type: OpenClaw Skill
Name: zero-trading
Version: 2.1.0
The bundle is a comprehensive trading agent integration for the Zero platform, focusing on market analysis and automated strategy execution. While the `join/SKILL.md` sub-skill instructs the AI agent to perform high-privilege actions—specifically modifying local configuration files like `~/.openclaw/openclaw.json` to set up MCP servers—this behavior is transparently documented as part of the 'auto-connect' onboarding process. The scripts (`setup.sh` and `validate_skills.py`) are standard configuration and linting utilities, and the agent instructions consistently emphasize safety measures such as paper-trading defaults, mandatory operator confirmation for live trades, and hardcoded risk caps.
Capability Assessment
Purpose & Capability
The skill's name/description (ZERO trading via Zero engine) aligns with the actions described: it needs network access to api.getzero.dev and provides many trading-related tool calls. That part is coherent. However the skill also relies on local agents/infra (local Ollama for layer 8, bus/*.json files such as timeframe_signals.json and layer_weights.json, and writing MCP config files), which goes beyond a purely remote trading integration and should be expected only if the operator runs Zero's local components. The top-level SKILL metadata lists network permission but omits filesystem permission even though sub-skills require it.
Instruction Scope
SKILL.md and the sub-skills instruct the agent to locate and modify user config files (e.g. ~/.openclaw/openclaw.json, ~/.openclaw/mcp.json, ~/.config/mcp/servers.json), create files if missing, overwrite existing 'zero' MCP entries, restart the gateway (openclaw mcp restart), and call multiple remote tools. It also references reading/writing local bus files and using a local Ollama model. These instructions give the skill the ability to change your agent configuration and to run or prompt running local setup scripts (README and join/ suggest running setup.sh when config is read-only). The scope includes proactive pushes/unprompted daily briefs and alerts (agent should push updates unprompted). All of this is functionally relevant to a trading agent but expands the trust surface and the impact of errors or malicious config changes.
Install Mechanism
There is no install spec (instruction-only), which reduces automatic installation risk. However the package includes two executable-looking files (scripts/setup.sh and scripts/validate_skills.py). The documentation explicitly points operators to run setup.sh in some error cases and to copy the skill folder into ~/.openclaw/skills — so there is a chance an operator or the agent (per instructions) may execute shipped scripts. Because there is no controlled install mechanism that validates those scripts, inspect them before running. No remote binary downloads are specified.
Credentials
The skill declares no required environment variables or primary credential, which superficially reduces secret risk. Yet the runtime instructions expect the agent to edit MCP configuration and to interact with tools that may require tokens or plan-level authentication later (the error matrix mentions 401/403 and 'missing token'). The skill also references local services (Ollama, cross_timeframe_agent) and local file paths for layer weights and timeframe signals that are not declared in requires.config or requires.env. Asking to overwrite user's MCP config entry (including overwriting an existing 'zero' entry) is a sensitive filesystem/credential-adjacent operation and should be considered high-impact.
Persistence & Privilege
The skill is not marked always:true (good). However the join sub-skill instructs writing persistent agent config (adding/overwriting an mcpServers entry) and restarting the gateway — this grants the skill persistent capability to register remote MCP endpoints that will be used by the agent thereafter. The top-level metadata did not advertise filesystem permission even though a sub-skill needs it (inconsistency). Modifying agent configuration and auto-registering an external MCP server is a powerful action and should only be allowed after operator review/consent.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install zero-trading - After installation, invoke the skill by name or use
/zero-trading - Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.1.0
OpenClaw plugin bundle — .mcp.json auto-configures MCP server on install, /join onboarding endpoint, 42 tools with progressive unlock
v5.1.0
v5.1.0: Agent Identity (auto-registration, public profiles, getzero.dev/agent/{id}) + Arena (leaderboard, rivalry, competitive ranking). All Phase 4 stubs now return real data. 30 MCP tools, 20 card templates, 989 tests.
v5.0.0
v5.0.0: Operator Journey — progression system (15 milestones, 5-dimension scoring, streak badges, 5 operator classes), auto-pilot strategy rotation (regime-based with operator history), pattern recognition (5 insight detectors, session comparison, personalized narratives). 28 MCP tools, 17 card templates, 941 tests.
v4.0.0
v4.0.0: Bugatti Experience — Drive Modes (comfort/sport/track), Global Regime Awareness (direction/distribution/volatility/shift detection), Conviction Acceleration (velocity tracking, time-to-threshold, turbo spool alerts). 14 card templates, 25 MCP tools, 803 tests.
v3.2.0
v3.2.0: Full interaction intelligence — polls for strategy selection, reaction-as-status (🔍→✅), card threading via replyTo, progressive disclosure (3 tiers), confirmation cleanup (delete stale buttons)
v3.1.0
v3.1.0: Interaction intelligence — reaction acknowledgments, image captions, message editing, silent overnight sends
v3.0.0
v3.0.0: Backtest engine, visual-first onboarding (7 steps, 5 images, 36 seconds), cron card push (heat shift + approaching + position alerts), Canvas live dashboard, 12 card templates total, 18 inline button callbacks
v2.0.0
v2.0.0: Visual cards (eval, heat, brief, approaching, result + equity, radar, gauge, funnel), inline buttons (18 callbacks), proactive alerts (5 push types), PHOSPHOR design system
v1.1.0
v1.1.0: 8 fixes from agent field test — heat endpoint fixed, consensus-based strategy selection, error explanations, bottleneck translation
v1.0.0
v1.0.0: 8 sub-skills, 14 live MCP tools, error handling, fallback paths, operator communication guide
Metadata
Frequently Asked Questions
What is ZERO Trading?
trading agent for hyperliquid via zero. evaluates markets through 9 intelligence layers. rejects 97% of setups. the 3% that pass become trades. It is an AI Agent Skill for Claude Code / OpenClaw, with 181 downloads so far.
How do I install ZERO Trading?
Run "/install zero-trading" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is ZERO Trading free?
Yes, ZERO Trading is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does ZERO Trading support?
ZERO Trading is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created ZERO Trading?
It is built and maintained by squaeragent (@squaeragent); the current version is v2.1.0.
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