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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 (
Call O3 Llm
作者
alvinecarn
· GitHub ↗
· v0.1.0
872
总下载
0
收藏
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当前安装
1
版本数
在 OpenClaw 中安装
/install call-o3-llm
功能描述
AI agent for call o3 llm tasks
使用说明 (SKILL.md)
Call O3 Llm
Overview
This skill provides specialized capabilities for call o3 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_o3_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
安全使用建议
This skill appears coherent and low-risk: it only contains runtime instructions for behaving as a creative meeting participant and asks for no credentials or installs. Before installing, confirm that your agent runtime will supply any required template variables (e.g., $SHOW_NAME$, $DATE$, meeting minutes) and avoid passing sensitive or private meeting transcripts if you do not want them processed. Note the strict language-matching rule — the skill will prioritize responding in the same language as the user’s initial challenge (or an explicit language request), which may produce unexpected results if you want answers in a different language.
功能分析
Type: OpenClaw Skill
Name: call-o3-llm
Version: 0.1.0
The skill bundle contains standard metadata in `_meta.json` and instructions for an AI agent in `SKILL.md`. The `SKILL.md` content defines the agent's persona, context, and output rules (e.g., language matching, staying task-focused). There are no instructions for data exfiltration, malicious execution, persistence, or any form of prompt injection against the agent to perform unauthorized actions. The use of template variables like `$SHOW_NAME$` is noted but not used in a way that suggests a vulnerability or malicious intent.
能力评估
Purpose & Capability
Name/description (call-o3-llm, creative/meeting agent) align with the SKILL.md content which defines behavior as a meeting-brainstorm participant. No unexpected binaries, env vars, or config paths are requested.
Instruction Scope
Instructions are narrowly scoped to reading meeting minutes and responding as a creative team member with strict language rules. The primary-rule language-matching constraint and the requirement to treat the meeting minutes as the sole source of memory are unusual from a UX perspective but not a security risk. The skill references template placeholders (e.g., $SHOW_NAME$, $DATE$) that require runtime substitution; ensure the runtime environment supplies them and that supplied meeting minutes are appropriate and not sensitive.
Install Mechanism
No install spec and no code files — instruction-only skill. This minimizes filesystem and network installation risks.
Credentials
The skill requests no environment variables, credentials, or config paths. That is proportional to its stated purpose.
Persistence & Privilege
always is false and the skill does not request persistent or elevated privileges. Autonomous invocation is allowed by platform defaults but nothing in the skill attempts to escalate privileges or modify other skills.
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 call-o3-llm - 安装完成后，直接呼叫该 Skill 的名称或使用
/call-o3-llm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
Initial release of call-o3-llm skill.
- Introduces an AI agent specialized for "call o3 llm" tasks.
- Enforces strict output language matching to the user's input or explicit language instructions.
- Establishes the agent's role as a core creative team member, responding to specific CCO tasks.
- Directs the agent to rely exclusively on structured meeting minutes for context and responses.
- New SKILL.md with clear usage instructions and operational principles.
元数据
常见问题
Call O3 Llm 是什么？
AI agent for call o3 llm tasks. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 872 次。
如何安装 Call O3 Llm？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install call-o3-llm」即可一键安装，无需额外配置。
Call O3 Llm 是免费的吗？
是的，Call O3 Llm 完全免费（开源免费），可自由下载、安装和使用。
Call O3 Llm 支持哪些平台？
Call O3 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 O3 Llm？
由 alvinecarn（@alvinecarn）开发并维护，当前版本 v0.1.0。
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