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在 OpenClaw 中安装
/install teamo-lite-offline
功能描述
Teamo Lite Offline efficiently plans tasks by choosing between quick fact-based Q&A or in-depth content creation and research workflows based on user needs.
安全使用建议
This skill is internally inconsistent: it is labeled 'Offline' but the instructions require online scraping and handing results to other agents, and they explicitly advise not asking users for consent in many cases. Before installing, verify: (1) which platform tools exist (is there a `url_scraping` tool and are agent-to-agent calls like `call_other_agents` actually available?), (2) whether you are comfortable with automatic sharing of user content with other agents (risk of leaking PII), and (3) whether you want a skill that avoids asking users for confirmation. If you need truly offline operation or strict user-consent policies, do not install this skill until the author fixes the contradictions, documents exactly what tools will be used, and clarifies data-sharing behavior.
功能分析
Type: OpenClaw Skill
Name: teamo-lite-offline
Version: 0.1.0
The `SKILL.md` instructions explicitly mandate the use of the `url_scraping` tool for 'complex tasks' within Workflow 2. This creates a significant vulnerability where a malicious user could craft a prompt to force the AI agent to perform Server-Side Request Forgery (SSRF) or potentially exfiltrate data by scraping internal network resources or sensitive URLs. Additionally, the skill allows `call_other_agents` in Workflow 2, which could extend the attack surface if chained with other agents. These capabilities, while potentially intended for legitimate 'online information gathering,' pose a high risk of prompt injection leading to unauthorized access or data leakage.
能力评估
Purpose & Capability
The skill is named 'Teamo Lite Offline' but the description and runtime instructions explicitly require online research workflows (calling search tools and a `url_scraping` tool) and handing results to other agents. The metadata declares no tools, binaries, or env vars; that mismatch (offline name vs online actions, no declared tool dependencies) is incoherent and could lead to unexpected network activity if the platform provides those tools.
Instruction Scope
SKILL.md instructs the agent to (a) 'call various search tools' and to use `url_scraping` for complex tasks, (b) hand gathered data off via `call_other_agents`, and (c) 'strictly prohibit' asking the user for consent when a task can be completed smoothly. It also forbids `call_other_agents` in Workflow 1 but requires it in Workflow 2—an internal contradiction. These instructions expand the skill's scope to data collection and automated inter-agent transmission of user content, which are privacy- and policy-sensitive actions not reflected in the simple description.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so nothing is written to disk by the skill itself. That minimizes install-time risk.
Credentials
The skill requests no environment variables or credentials (which is proportionate given its claimed purpose). However, the instructions require the agent to use unspecified network tools and to hand off gathered data to other agents—behaviors that can expose sensitive information even without explicit credential access. The skill does not declare or justify these data-sharing actions.
Persistence & Privilege
The skill does not request persistent/system-wide privileges (always:false) and does not declare modifications to other skills or agent config. That said, its instructions encourage autonomous handoffs to other agents and discourage asking user consent, increasing operational risk when the platform allows agent-to-agent calls.
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 teamo-lite-offline - 安装完成后，直接呼叫该 Skill 的名称或使用
/teamo-lite-offline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
v0.1.0
teamo-lite-offline 0.1.0 changelog
- Initial release of the Teamo-Lite Offline skill.
- Introduced two core workflows for task processing: Quick Q&A for information retrieval, and Content Creation/Code Problems for creative or complex tasks.
- Defined clear trigger conditions and action steps for each workflow to ensure efficient task completion.
- Provided detailed usage instructions and tool handling guidelines.
- Added instructions for safe and efficient use of the `message_ask_user` tool and other integrated tools.
元数据
常见问题
Teamo Lite Offline 是什么？
Teamo Lite Offline efficiently plans tasks by choosing between quick fact-based Q&A or in-depth content creation and research workflows based on user needs. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 753 次。
如何安装 Teamo Lite Offline？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install teamo-lite-offline」即可一键安装，无需额外配置。
Teamo Lite Offline 是免费的吗？
是的，Teamo Lite Offline 完全免费（开源免费），可自由下载、安装和使用。
Teamo Lite Offline 支持哪些平台？
Teamo Lite Offline 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 Teamo Lite Offline？
由 urrrich0（@urrrich0）开发并维护，当前版本 v0.1.0。
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