Call Grok4 Llm

AI agent for call grok4 llm tasks

Security Scan

This instruction-only skill is internally consistent with its stated purpose (a meeting/creative-role agent) and requests no extra permissions, installs, or credentials.

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.

Assessment

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.

Overview

This skill provides specialized capabilities for call grok4 llm.

Instructions

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.

Usage Notes

• This skill is based on the call_grok4_llm agent configuration
• Template variables (if any) like $DATE$, $SESSION_GROUP_ID$ may require runtime substitution
• Follow the instructions and guidelines provided in the content above