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在 OpenClaw 中安装
/install sharkflow
功能描述
⚡ SharkFlow - 链上任务自动化,智能合约交互队列 + 多签工作流
安全使用建议
This package promises full on‑chain automation (task queue, multisig, execution) but the actual code is a placeholder and a local template manager — it's internally inconsistent. Before running or installing: (1) don't paste private keys or seed phrases into any config files; use hardware wallets or external signing services if you intend to use on‑chain features; (2) inspect the actual scripts you will run (scripts/flow.mjs and scripts/template.mjs) — here flow.mjs is a harmless stub but the SKILL.md is misleading; (3) run the code in a sandboxed environment (container or VM) rather than your main machine; (4) verify the package source (the package.json points to a GitHub repo) and contact the author or check the repository history to confirm whether the promised features are implemented; (5) be cautious with 'npx' installs from unknown authors — they execute remote code. If you need real DeFi automation, prefer packages with implemented code, clear audit history, and minimal privilege requirements.
功能分析
Type: OpenClaw Skill
Name: sharkflow
Version: 0.2.0
The skill bundle appears to be a placeholder for a DeFi automation tool, but the provided code in 'scripts/flow.mjs' is non-functional, merely printing a 'Project under development' message. Crucially, the 'SKILL.md' instructions direct the AI agent to install the tool via 'npx @gztanht/sharkflow', which fetches and executes code from a remote registry (npm) that is not part of the analyzed files. This discrepancy between the benign placeholder code and the instruction to execute unvetted remote artifacts is a significant security risk and a common indicator of a supply chain attack or a multi-stage payload delivery.
能力评估
Purpose & Capability
The README and SKILL.md describe a full DeFi automation tool (task queue, multisig, scheduled execution, transaction submission). The repository only contains a stub flow.mjs that prints a development message and a template.mjs that manages local JSON templates. There is a clear mismatch between claimed capabilities and the actual code provided.
Instruction Scope
SKILL.md instructs users to run commands like 'node scripts/flow.mjs add/execute/multisig' that imply performing on‑chain transactions and multi‑signature workflows. The actual flow.mjs file contains no implementation for those commands. The instructions also reference configuration files (config/wallets.json) and transaction behaviors that are not present in the code, which is misleading and could cause users to run commands expecting side effects that don't exist.
Install Mechanism
There is no install spec; this is instruction‑plus-source. No remote downloads or obscure install URLs are used. The package.json lists a single dependency (node-fetch) but no install scripts that pull arbitrary external code. Risk from install mechanism itself is low.
Credentials
The skill does not request environment variables, credentials, or config paths. The code writes and reads a local templates directory and references a config/wallets.json in its documentation, which is appropriate for a template/tooling package — but there is no code that reads private keys or external secrets.
Persistence & Privilege
The skill does not request persistent platform privileges (always: false) and does not modify other skills or system‑wide configurations. It does create/modify files under a local 'templates' directory within the project, which is expected for the template features.
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 sharkflow - 安装完成后,直接呼叫该 Skill 的名称或使用
/sharkflow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
v0.2.0
🚀 新增 template.mjs 模板系统,4 个预定义模板
v0.1.1
⚡ 更新图标为闪电 (避免与 YieldShark 重复)
v0.1.0
🦈 SharkFlow v0.1.0 - 链上任务自动化框架,免费 5 次/天
元数据
常见问题
Sharkflow 是什么?
⚡ SharkFlow - 链上任务自动化,智能合约交互队列 + 多签工作流. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 362 次。
如何安装 Sharkflow?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install sharkflow」即可一键安装,无需额外配置。
Sharkflow 是免费的吗?
是的,Sharkflow 完全免费(开源免费),可自由下载、安装和使用。
Sharkflow 支持哪些平台?
Sharkflow 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 Sharkflow?
由 Haha Tan(@gztanht)开发并维护,当前版本 v0.2.0。
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