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Install in OpenClaw
/install okxprediction
Description
Predicts short-term BTC market direction using multi-timeframe analysis, funding rates, and sentiment to signal trade execution, watch, or no trade.
Usage Guidance
What to consider before installing:
- The skill's logic and scoring are self-contained and sensible as a signalling methodology, but it does not say where to get the market inputs (candles, funding rate, long/short ratio) or how it would connect to OKX. Decide whether you expect this to be a pure signal generator (manual use) or an automated trader — the skill as packaged does not include any credential handling or exchange API calls.
- Do not supply API keys or exchange credentials to this skill unless you fully trust the author and have reviewed explicit code that uses those keys. If you plan to enable automated trading, require the skill to declare which environment variables it will use (e.g., OKX_API_KEY/SECRET) and document exact API endpoints/calls.
- Because the source is 'unknown' and there is no homepage or code to audit, prefer using this only for manual, offline signal generation or after thorough review. Test outputs first against historical/paper data before committing real funds and ensure mandatory risk controls (stop-loss, position sizing) are enforced externally.
- Recommended improvements for the author: state data sources and authentication requirements in SKILL.md, optionally add a safe 'dry-run' mode, and provide examples showing how to feed data into the skill (or explicitly declare it expects the agent to provide market data).
Capability Analysis
Type: OpenClaw Skill
Name: okxprediction
Version: 1.0.0
The skill bundle contains instructions and logic for an AI agent to perform BTC market analysis and generate trading signals based on technical indicators and market sentiment. There is no executable code, and the instructions in SKILL.md and logic.txt are strictly limited to the stated purpose of financial analysis without any signs of data exfiltration, malicious execution, or prompt injection attacks.
Capability Assessment
Purpose & Capability
The skill is presented as an OKX-focused BTC short-term prediction system (meta and description say '适用于OKX合约'), but the package declares no required environment variables, no API keys, and contains no instructions for connecting to OKX or any market data provider. If the skill is intended to generate signals only (not execute trades), the OKX claim is misleading; if it intends to execute trades, it lacks any credential handling or API-call instructions.
Instruction Scope
SKILL.md contains a detailed multi-timeframe scoring methodology and a fixed JSON output schema — it does not instruct the agent to read local files, access system config, or call external endpoints. However it also does not specify how to obtain the required inputs (K-line data, funding rate, long/short ratio, liquidation zones). That gap means an agent may attempt to fetch data from arbitrary sources or combine this skill with other connectors to obtain data/credentials.
Install Mechanism
Instruction-only skill with no install spec and no included code files. This minimizes on-disk execution risk; there are no downloaded binaries or external installers to review.
Credentials
No environment variables or credentials are declared, yet the meta description explicitly targets OKX contracts. For a skill expected to integrate with an exchange, the absence of declared API keys (OKX_API_KEY, secrets, etc.) is disproportionate and ambiguous. This could either indicate the skill is strictly signalling-only (then the OKX label is misleading) or that it expects the agent to obtain credentials elsewhere (which is risky).
Persistence & Privilege
always is false (normal) and no system-wide config changes are requested. Autonomous invocation is allowed by default — while not problematic on its own, combined with the credential/data sourcing ambiguity it raises the possibility that the agent could autonomously call other connectors or skills to trade using stored credentials. There's no explicit instruction to do so in SKILL.md.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install okxprediction - After installation, invoke the skill by name or use
/okxprediction - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release – prediction framework for BTC short-term trend and trade execution.
- Analyzes BTC direction using multi-timeframe data (K-line, funding, ratio, liquidation).
- Features a 6-layer evaluation system: Direction, Structure, Position, Sentiment, Liquidity, and Trigger.
- Employs a scoring system guiding trade/action decisions.
- Strict rules enforce trade entries only under optimal alignment.
- Outputs structured JSON for trade signals, including direction, score, entry type, stop loss, and rationale.
Metadata
Frequently Asked Questions
What is okxprediction?
Predicts short-term BTC market direction using multi-timeframe analysis, funding rates, and sentiment to signal trade execution, watch, or no trade. It is an AI Agent Skill for Claude Code / OpenClaw, with 217 downloads so far.
How do I install okxprediction?
Run "/install okxprediction" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is okxprediction free?
Yes, okxprediction is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does okxprediction support?
okxprediction is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created okxprediction?
It is built and maintained by maserati8 (@maserati8); the current version is v1.0.0.
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