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urrrich0

Teamo Lite Offline

by urrrich0 · GitHub ↗ · v0.1.0
cross-platform ⚠ suspicious
753
Downloads
0
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2
Active Installs
1
Versions
Install in OpenClaw
/install teamo-lite-offline
Description
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.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install teamo-lite-offline
  3. After installation, invoke the skill by name or use /teamo-lite-offline
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug teamo-lite-offline
Version 0.1.0
License
All-time Installs 2
Active Installs 2
Total Versions 1
Frequently Asked Questions

What is Teamo Lite Offline?

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. It is an AI Agent Skill for Claude Code / OpenClaw, with 753 downloads so far.

How do I install Teamo Lite Offline?

Run "/install teamo-lite-offline" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Teamo Lite Offline free?

Yes, Teamo Lite Offline is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Teamo Lite Offline support?

Teamo Lite Offline is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Teamo Lite Offline?

It is built and maintained by urrrich0 (@urrrich0); the current version is v0.1.0.

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