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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
by
alvinecarn
· GitHub ↗
· v0.1.0
872
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Install in OpenClaw
/install call-o3-llm
Description
AI agent for call o3 llm tasks
README (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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install call-o3-llm - After installation, invoke the skill by name or use
/call-o3-llm - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Call O3 Llm?
AI agent for call o3 llm tasks. It is an AI Agent Skill for Claude Code / OpenClaw, with 872 downloads so far.
How do I install Call O3 Llm?
Run "/install call-o3-llm" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Call O3 Llm free?
Yes, Call O3 Llm is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Call O3 Llm support?
Call O3 Llm is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Call O3 Llm?
It is built and maintained by alvinecarn (@alvinecarn); the current version is v0.1.0.
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