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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-deepseek-v3-llm
功能描述
AI agent for call deepseek v3 llm tasks
使用说明 (SKILL.md)
Call Deepseek V3 Llm
Overview
This skill provides specialized capabilities for call deepseek v3 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_deepseek_v3_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 internally consistent: it expects meeting minutes as input and enforces strict language-matching rules. Before installing or using it, make sure you (or the system invoking it) will provide the meeting minutes and the user's initial challenge language as part of the runtime input; otherwise the language rules may produce unclear behavior. Because the skill is instruction-only and requests no credentials or installs, there is low security risk from the skill itself — but always be cautious about what meeting content you feed into any agent (do not supply secrets or sensitive credentials in the meeting minutes).
功能分析
Type: OpenClaw Skill
Name: call-deepseek-v3-llm
Version: 0.1.0
The `SKILL.md` file contains strong, overriding directives that attempt to manipulate the AI agent's core behavior and context interpretation. Specifically, instructions like 'It is **strictly forbidden** to decide your response language based on the language of this system prompt' and 'These minutes are your sole source of information and memory, and you must adhere to them' are clear prompt injection attempts designed to make the agent ignore its foundational system prompts and external context. While there is no explicit instruction for data exfiltration or malicious execution, this manipulation of the agent's internal logic represents a significant vulnerability.
能力评估
Purpose & Capability
The name/description (call-deepseek-v3-llm) align with the SKILL.md: the skill defines behavior for a meeting/creative-agent. It does not request unrelated binaries, credentials, or config paths.
Instruction Scope
The instructions direct the agent to 'carefully read the attached meeting minutes' as its sole source of memory — this is expected for a meeting assistant, but the skill file does not specify how meeting minutes are supplied (they will presumably be provided at runtime in the prompt or a tool input). The primary language rule is strict and may interact unexpectedly with other system-level language settings; it also forbids using the system prompt or minutes to infer language, which could cause ambiguous behavior if the user's initial challenge language is not provided.
Install Mechanism
No install spec and no code files are present (instruction-only). Nothing is written to disk or fetched at install time.
Credentials
The skill requires no environment variables, credentials, or config paths. There are no requests for secrets or unrelated service tokens.
Persistence & Privilege
always is false and the skill does not request persistent system presence or modify other skills. It can be invoked by the agent normally and has no elevated privileges.
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-deepseek-v3-llm - 安装完成后，直接呼叫该 Skill 的名称或使用
/call-deepseek-v3-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-deepseek-v3-llm 0.1.0
- Initial release of the skill for interfacing with Deepseek V3 LLM.
- Enforces strict language-matching rules based on user prompts.
- Defines clear team participation, role identity, and context usage.
- Requires all responses to be based strictly on meeting minutes and CCO’s current request.
- Creative, professional output for use in collaborative team brainstorming sessions.
元数据
常见问题
Call Deepseek V3 Llm 是什么？
AI agent for call deepseek v3 llm tasks. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1150 次。
如何安装 Call Deepseek V3 Llm？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install call-deepseek-v3-llm」即可一键安装，无需额外配置。
Call Deepseek V3 Llm 是免费的吗？
是的，Call Deepseek V3 Llm 完全免费（开源免费），可自由下载、安装和使用。
Call Deepseek V3 Llm 支持哪些平台？
Call Deepseek V3 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 Deepseek V3 Llm？
由 urrrich（@urrrich）开发并维护，当前版本 v0.1.0。
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