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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 (
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在 OpenClaw 中安装
/install call-doubao1-5-llm
功能描述
AI agent for call doubao1 5 llm tasks
使用说明 (SKILL.md)
Call Doubao1 5 Llm
Overview
This skill provides specialized capabilities for call doubao1 5 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_doubao1_5_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 is instruction-only and appears coherent for a meeting/brainstorming assistant. Before installing, ensure you will supply the 'meeting minutes' content at runtime and that those minutes do not contain sensitive secrets (the skill treats minutes as its sole memory and will base outputs on them). Also verify any runtime template substitutions (e.g., $DATE$, $SESSION_GROUP_ID$) are provided by your environment. Finally, test the skill with non-sensitive sample minutes to confirm its language-matching and role behavior meets your expectations.
功能分析
Type: OpenClaw Skill
Name: call-doubao1-5-llm
Version: 0.1.0
The skill bundle contains standard metadata and prompt engineering instructions for an AI agent. The `SKILL.md` file uses strong language to enforce rules regarding output language, role-playing, and task focus, but these rules are aimed at ensuring predictable and aligned agent behavior, not at subverting the agent. There is no evidence of malicious intent, data exfiltration, unauthorized command execution, or attempts to bypass security measures. The instructions explicitly direct the agent to 'Stay Task-Focused' and 'Do not drift into topics unrelated to the current task'.
能力评估
Purpose & Capability
The name/description describe a specialized LLM agent for 'call_doubao1_5_llm' tasks; the SKILL.md contains role/meeting-focused instructions consistent with that purpose. No unrelated credentials, binaries, or installs are requested.
Instruction Scope
The runtime instructions require the agent to read 'meeting minutes' as its sole source of memory and to strictly match the user's requested response language. This is coherent with a meeting/brainstorming agent. There is minor ambiguity about how meeting minutes are provided at runtime (they must be supplied by the caller); the skill does not instruct the agent to read arbitrary filesystem paths or external endpoints.
Install Mechanism
No install spec and no code files — instruction-only skill — so nothing is written to disk or fetched during install.
Credentials
The skill declares no environment variables, credentials, or config paths. The SKILL.md mentions template variables (e.g., $DATE$) which are expected to be substituted at runtime; that does not require extra privileges or secrets.
Persistence & Privilege
Defaults are used (always: false, autonomous invocation allowed). The skill does not request permanent presence or modification of other skills or system-wide settings.
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-doubao1-5-llm - 安装完成后，直接呼叫该 Skill 的名称或使用
/call-doubao1-5-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
call-doubao1-5-llm 0.1.0 – Initial Release
- Introduces an AI agent designed for "call doubao1 5 llm" tasks.
- Enforces strict output language matching based on user input or explicit language instructions.
- Sets role as a creative expert within a team, responding only within the context of brainstorming meetings.
- Requires adherence to meeting minutes for context and memory.
- Responses are limited to CCO-directed tasks and must remain focused and professional.
元数据
常见问题
Call Doubao1 5 Llm 是什么？
AI agent for call doubao1 5 llm tasks. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 856 次。
如何安装 Call Doubao1 5 Llm？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install call-doubao1-5-llm」即可一键安装，无需额外配置。
Call Doubao1 5 Llm 是免费的吗？
是的，Call Doubao1 5 Llm 完全免费（开源免费），可自由下载、安装和使用。
Call Doubao1 5 Llm 支持哪些平台？
Call Doubao1 5 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 Doubao1 5 Llm？
由 urrrich（@urrrich）开发并维护，当前版本 v0.1.0。
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