多智能体联合研究框架

多智能体联合研究框架Skill，支持多领域专家协同完成复杂研究项目，包含任务分配、进度跟踪、质量管控、成果同步全流程能力

Security Scan

The skill's description (multi-agent research with cloud sync) is plausible but its runtime instructions and declared requirements mismatch (missing CLI binary and no declared credentials for cloud sync), so proceed with caution.

Purpose & Capability

The SKILL.md describes a CLI-like workflow (commands such as `multi-agent-research start` and `... status`) and automatic synchronization to cloud storage, but the only required binary declared is `openclaw`. There is no declaration of a `multi-agent-research` binary, package, or any cloud connector. Also no source or homepage is provided to verify the implementation. This mismatch between claimed capabilities and declared requirements is unexplained.

Instruction Scope

Instructions tell the agent to run `multi-agent-research` CLI commands and state that results will be "自动同步到指定云存储位置" (auto-sync to a specified cloud storage). The SKILL.md does not specify which cloud endpoint, what credentials are needed, or how destinations are configured. That vagueness could lead to unexpected data movement or prompts for credentials at runtime.

Install Mechanism

This is an instruction-only skill with no install spec and no code files, which is lower risk because nothing will be written to disk by an installer. The only install-related oddity is the declared required binary `openclaw` — acceptable if the platform provides it, but it does not explain the missing `multi-agent-research` CLI.

Credentials

requires.env is empty even though the feature list explicitly includes automatic syncing to cloud storage and versioning; those capabilities normally require credentials or configuration (API keys, storage paths). The absence of declared environment variables or config paths is disproportionate to the claimed cloud-sync functionality.

Persistence & Privilege

The skill is not force-installed (always: false), does not request config paths or persistent system changes, and does not claim to modify other skills. No elevated persistence is requested.

What to consider before installing

Do not install or enable this skill yet. Ask the publisher for: (1) the source or homepage and a repository or release so you can inspect the implementation, (2) clarification why `openclaw` is the only required binary while the instructions invoke `multi-agent-research`, and (3) what cloud storage endpoints and credentials (if any) the skill will use and how those are configured/stored. If you must test it, do so in a isolated environment with non-sensitive data and do not supply real cloud credentials until you can review the code or an authoritative package. If the publisher cannot provide a verifiable implementation or clear explanation for the missing CLI/credentials, treat the skill as untrusted.

多智能体联合研究框架 Skill (v1.0)

核心功能

这套Skill支持多领域专家智能体协同完成复杂研究项目，实现全流程标准化管理：

1. 研究任务自动拆解与分配到对应领域专家
2. 多智能体任务进度自动跟踪与汇总
3. 研究成果质量自动检查与校准
4. 最终成果自动同步与归档
5. 跨专家研究结论自动交叉验证

适用场景

• 行业研究报告撰写
• 商业项目可行性分析
• 产品市场调研项目
• 政策研究与趋势分析
• 复杂问题多维度评估

核心方法体系

1. 专家分工模型：市场运营/产品研究/客户分析三类专家角色标准化协作
2. 五轮沟通机制：任务下达-疑问澄清-初稿提交-意见反馈-终稿交付标准化流程
3. 质量管控体系：三级质量检查（自检/交叉检/项目经理终审）
4. 成果同步机制：自动同步到指定云存储位置，生成版本记录

使用方法

1. 配置项目研究目标与交付要求
2. 执行 multi-agent-research start --project <项目名> --deadline <截止时间>
3. 系统自动分配任务到对应专家智能体
4. 执行 multi-agent-research status 查看实时进度
5. 研究完成后自动交付标准化成果包

输出成果规范

• 研究报告：Markdown格式，包含数据来源、分析过程、结论建议
• 支撑材料：原始数据、引用文献、中间分析过程文件
• 质量报告：三级质量检查结果记录
• 版本记录：完整迭代过程日志