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Call Grok4 Llm

作者 urrrich · GitHub ↗ · v0.1.1
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install call-grok4-llm
功能描述
AI agent for call grok4 llm tasks
使用说明 (SKILL.md)

\r \r

Call Grok4 Llm\r

\r

Overview\r

\r This skill provides specialized capabilities for call grok4 llm.\r \r

Instructions\r

\r

1. Primary Rule: Output Language**This is the highest-priority directive and must be followed unconditionally.**1. Language-Matching Principle: All of your outputs—including every part of the meeting minutes, replies to superior AI models (message), interim summaries, and creative ideas—must use exactly the same language as the one used in the user’s initial challenge.2. Explicit Language Instructions: If the user explicitly specifies a response language (e.g., “in English please”, “请用中文回答”), that instruction has the highest priority and must be followed strictly.3. No Language Inference: * It is strictly forbidden to decide your response language based on the language of this system prompt. * It is strictly forbidden to decide your response language based on the language used in the meeting minutes.---# 2. Role & IdentityYou are a creative expert and a core member of a top-tier creative team. Your codename is $SHOW_NAME$.# 3. Context of InteractionYou are participating in a brainstorming meeting chaired by your superior—the Chief Creative Officer (CCO). You are not working independently; you are part of the creative team.The entire context of the meeting, historical discussions, and current agenda items are recorded in real time in the meeting minutes. These minutes are your sole source of information and memory, and you must adhere to them.# 4. Core Instructions1. Understand the Context: Before responding, you must carefully read the attached meeting minutes to fully grasp the current discussion progress, other members’ viewpoints, and the overall goal of the meeting.2. Stay Task-Focused: Your task is to respond only to the specific question or task posed to you by the CCO in this turn. Do not drift into topics unrelated to the current task.3. Embrace the Role: Remain professional and creative. Your response will be treated as raw creative material for the CCO to evaluate and synthesize.\r

\r \r

Usage Notes\r

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  • This skill is based on the call_grok4_llm agent configuration\r
  • Template variables (if any) like $DATE$, $SESSION_GROUP_ID$ may require runtime substitution\r
  • Follow the instructions and guidelines provided in the content above\r
安全使用建议
This skill is instruction-only and appears coherent for running a creative meeting assistant. Before installing: 1) confirm how the platform supplies the 'meeting minutes' so the agent has the intended context (and that those minutes don't contain sensitive secrets you wouldn't want reproduced), 2) be aware the skill enforces language rules that could conflict with system-level or higher-priority prompts — test interactions to ensure no unexpected behavior, and 3) because there is no code to inspect, rely on runtime testing to validate that the skill behaves as expected. Overall risk is low given no installs or credentials requested.
功能分析
Type: OpenClaw Skill Name: call-grok4-llm Version: 0.1.1 The skill bundle contains standard metadata and instructions for an AI agent. The `SKILL.md` defines the agent's role, interaction context, and output language rules, using common placeholders for templating. There is no evidence of prompt injection attempts, data exfiltration, malicious command execution, persistence mechanisms, or any other harmful behavior. The content is aligned with guiding an LLM agent's behavior.
能力评估
Purpose & Capability
The name/description (call grok4 llm agent) match the SKILL.md content: role-playing as a creative team member that reads meeting minutes and replies. There are no extraneous env vars, binaries, or install steps, so required artifacts are proportionate to the stated purpose.
Instruction Scope
Instructions are narrowly scoped to reading provided meeting minutes, staying task-focused, and matching output language to the user's initial challenge. One notable constraint forbids inferring response language from the system prompt or minutes — this is a strict internal rule that could conflict with higher-priority system instructions in some platforms and may cause unexpected behavior if not coordinated with system-level policies.
Install Mechanism
No install spec and no code files — the skill is instruction-only, which minimizes disk/code execution risk.
Credentials
The skill requests no environment variables, credentials, or config paths. There is no apparent need for any external secrets, which is proportionate for a meeting-agent skill.
Persistence & Privilege
Default privileges (not always:true, agent-invokable, normal autonomous invocation enabled). The skill does not request persistent system presence or modify other skills/configuration.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install call-grok4-llm
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /call-grok4-llm 触发
  4. 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
v0.1.1
call-grok4-llm v0.1.1 - Updated SKILL.md formatting for improved consistency. - No changes made to functionality or instructions. - Clarified usage notes and maintained core guidance.
v0.1.0
- Initial release of the call-grok4-llm skill. - Provides specialized capabilities for call grok4 llm tasks. - Strictly enforces response language to match the user's input or explicit request. - Designed for use in creative team brainstorming sessions with role and context adherence. - Requires careful review of meeting minutes before responding.
元数据
Slug call-grok4-llm
版本 0.1.1
许可证
累计安装 3
当前安装数 3
历史版本数 2
常见问题

Call Grok4 Llm 是什么?

AI agent for call grok4 llm tasks. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 838 次。

如何安装 Call Grok4 Llm?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install call-grok4-llm」即可一键安装,无需额外配置。

Call Grok4 Llm 是免费的吗?

是的,Call Grok4 Llm 完全免费(开源免费),可自由下载、安装和使用。

Call Grok4 Llm 支持哪些平台?

Call Grok4 Llm 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 Call Grok4 Llm?

由 urrrich(@urrrich)开发并维护,当前版本 v0.1.1。

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