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Maxxit Lazy Trader
作者
abhi152003
· GitHub ↗
· v1.2.20
· MIT-0
2555
总下载
2
收藏
2
当前安装
30
版本数
在 OpenClaw 中安装
/install maxxit-lazy-trading
功能描述
Execute perpetual trades on Ostium, Aster, and Avantis via Maxxit's Lazy Trading API, and trade Indian stocks through Zerodha Kite. Includes programmatic end...
安全使用建议
Do not install or supply your MAXXIT_API_KEY until you clarify a few things with the skill author: (1) Confirm whether Zerodha/Kite support is implemented — if it is, ask which environment variables and credentials are required; (2) Ask why the registry metadata omits MAXXIT env vars and why SKILL.md lists 'curl' even though the code uses Python requests; (3) Request a short security/readme note explaining where state/log files are written (strategy_common uses a hard-coded '/home/ubuntu/.openclaw/workspace'); (4) Run the scripts in a sandboxed workspace with a test API key or testnet account first — do not use real funds until you verify behavior; (5) If you want to limit blast radius, disable autonomous invocation or ensure the agent requires explicit user confirmation before any call that opens/closes positions; (6) Note there are small implementation issues (e.g., some scripts reference requests but are missing imports or use inconsistent BASE_DIRs) — ask the maintainer for a patch or run a code review locally before trusting it with real credentials/funds.
功能分析
Type: OpenClaw Skill
Name: maxxit-lazy-trading
Version: 1.2.20
The maxxit-lazy-trading skill bundle is a comprehensive trading integration for OpenClaw, supporting multiple decentralized exchanges (Ostium, Aster, Avantis) and Indian equities via Zerodha. It includes several Python strategy scripts (e.g., breakout-strategy.py, taker-strategy.py) that fetch market data from Binance and execute trades through the Maxxit API. While some standalone scripts contain minor bugs (missing 'import requests' statements), the code logic and instructions in SKILL.md are entirely consistent with the stated purpose of automated trading and market research. No evidence of data exfiltration, unauthorized access, or malicious prompt injection was found.
能力评估
Purpose & Capability
Description and SKILL.md claim Maxxit Lazy Trading and also trading Indian stocks via Zerodha Kite, but none of the shipped code references Zerodha APIs or requests Zerodha credentials. Registry metadata (top-level summary) lists no required env vars, while SKILL.md and the code require MAXXIT_API_KEY and MAXXIT_API_URL. SKILL.md metadata also declares the 'curl' binary but the Python scripts use the 'requests' library. These mismatches suggest the manifest and description are out of sync with the implementation.
Instruction Scope
SKILL.md instructs the agent to call Maxxit programmatic endpoints and to never hallucinate API parameters — that is appropriate for a trading skill. The scripts fetch public Binance klines and call Maxxit endpoints (user-details, balance, positions, open/close-position). They read/write state and logs inside workspace paths. However, SKILL.md sets disableModelInvocation: true (preventing autonomous invocation) while registry-level flags show model invocation allowed by default — contradictory. The skill's instructions and routing rules are strict about venues and parameter sourcing, which is good, but the manifest contradictions create ambiguity about how the agent will actually behave at runtime.
Install Mechanism
This is an instruction-only skill (no install spec). The distributed package contains Python scripts and a README; nothing in the manifest downloads remote archives or runs installers. That is the lower-risk install model. However, the SKILL.md references npx clawhub for updates (a benign CLI instruction).
Credentials
The primary credential MAXXIT_API_KEY / MAXXIT_API_URL requested by SKILL.md and used across the code is reasonable for a Maxxit trading integration. But the description's mention of Zerodha Kite (and Indian stocks) without asking for any Zerodha credentials is inconsistent and unexplained. Also, the top-level registry summary omitted MAXXIT env requirements while SKILL.md declares them — this could mislead users into installing without supplying necessary secrets. Several files use differing BASE_DIR conventions (some use os.getcwd(), strategy_common uses a hard-coded '/home/ubuntu/.openclaw/workspace'), which may cause state/logs to be written to unexpected locations.
Persistence & Privilege
The skill does not request 'always: true' and does not attempt to alter other skills. It writes per-strategy state and log files in workspace directories (normal for long-running trading scripts). The SKILL.md's disableModelInvocation flag (true) conflicts with registry defaults; if the skill is allowed to be invoked autonomously while it contains trading-execution code, that increases risk — consider restricting autonomous invocation or requiring explicit user confirmation before any trade-executing call.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install maxxit-lazy-trading - 安装完成后，直接呼叫该 Skill 的名称或使用
/maxxit-lazy-trading触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.2.20
No user-facing changes detected in this version.
- Version bump from 1.2.19 to 1.2.20 for administrative or maintenance purposes.
- No changes to functionality, features, or documentation.
v1.2.19
Clarified the login URL instructions for Zerodha authentication, ensuring the Maxxit user context is preserved in the redirect parameters.
v1.2.18
Updated the login instructions
v1.2.17
Implemented omitEmptyFields function to filter out null or empty fields in API response and update SKILL.md to reflect changes in response structure.
v1.2.16
- Updated API parameter dependency to use `/user-details` instead of `/club-details` for `user_wallet` and `ostium_agent_address`.
- Mandatory workflow rule now instructs to always call `/user-details` first to obtain user identity parameters.
- No user-facing features or behavioral changes; this update clarifies and corrects required API usage procedures.
v1.2.15
- Added support for Indian stock trading via Zerodha Kite.
- Includes endpoints for researching Indian equities.
- Updated description to reflect broader trading and research capabilities.
- No code changes detected, documentation update only.
v1.2.14
Updated skill doc to reflect new API endpoints and remove unnecessary ones.
v1.2.13
- Added "Skill Maintenance" section with update instructions for OpenClaw users.
- Added new endpoint for indian equity research
v1.2.12
maxxit-lazy-trading 1.2.12
- Updated DEX routing rules to clarify Ostium’s mainnet/testnet behavior: Ostium defaults to mainnet, but honors explicit user requests for testnet by passing isTestnet: true.
v1.2.11
updated research API endpoint with deep research option
v1.2.10
maxxit-lazy-trading 1.2.10
- Updated the list of scenarios for when to use the skill: now explicitly includes "market research," "market summary," and "trade-focused research brief" as valid use cases.
v1.2.9
Version 1.2.9 introduces built-in automated trading strategy scripts.
- Added 7 Python trading strategy scripts: EMA crossover, RSI-Bollinger, Donchian-ADX, Taker HFT, Mean Reversion, Breakout (ATR), and VWAP.
- Strategies are standalone, fetch Binance kline data, and execute trades via Maxxit endpoints.
- Updated skill documentation with details and invocation examples for each strategy script.
- Scripts share/common trading logic via a new strategy_common.py utility module.
v1.2.8
Added price fetch endpoint for Avantis DEX
v1.2.7
- Added Avantis DEX support for perpetual trading alongside Ostium and Aster.
- Updated routing and venue selection rules to include Avantis.
- Clarified that Avantis is mainnet-only on Base chain.
- Extended all API handling and workflow rules for Avantis venues.
v1.2.6
No user-facing changes detected in this version.
- Version updated from 1.2.4 to 1.2.6.
- No file changes were detected for this release.
v1.2.5
Updated steps for alpha trade listing and proof generation process.
v1.2.4
**Added Aster DEX venue support and Alpha Marketplace integration.**
- Supports trading on both Ostium (mainnet) and Aster (testnet); asks user to select venue if unclear.
- Integrates Alpha Marketplace: enables buying/selling ZK-verified trading signals and generating ZK proofs.
- Updates mandatory workflow, routing, and parameter rules for multi-venue and Alpha flows.
- Expanded "When to Use This Skill" instructions to include Aster and Alpha use-cases.
- Enforces strict venue separation and clarifies routing rules for Ostium vs Aster.
v1.2.3
Bumped version
v1.2.2
- Added support for Aster DEX alongside Ostium; skill now operates on both venues.
- Introduced venue selection rules: requires explicit user choice between Ostium (mainnet) and Aster (testnet), and enforces separate routing/flows for each.
- Updated usage guidance to reflect multi-venue capability.
- Clarified not to ask user for network (mainnet/testnet) under new venue rules.
- No code or endpoint changes detected; update is documentation/behavioral.
v1.2.1
Added Aster DEX support in maxxit lazy trading skill
元数据
常见问题
Maxxit Lazy Trader 是什么？
Execute perpetual trades on Ostium, Aster, and Avantis via Maxxit's Lazy Trading API, and trade Indian stocks through Zerodha Kite. Includes programmatic end... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 2555 次。
如何安装 Maxxit Lazy Trader？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install maxxit-lazy-trading」即可一键安装，无需额外配置。
Maxxit Lazy Trader 是免费的吗？
是的，Maxxit Lazy Trader 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Maxxit Lazy Trader 支持哪些平台？
Maxxit Lazy Trader 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Maxxit Lazy Trader？
由 abhi152003（@abhi152003）开发并维护，当前版本 v1.2.20。
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