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在 OpenClaw 中安装
/install multi-agent-deep-research
功能描述
Coordinate deep, source-verifiable research projects in OpenClaw using AgentSkills-compatible folders, local artifact tracking, and explicit evidence ledgers...
安全使用建议
This skill is internally coherent and appears to do what it claims: create and manage local, file-backed research projects. Before installing, consider: (1) it will create and edit files in whatever workspace you run it from — run it in a directory you trust or a disposable workspace if you want to test; (2) the SKILL.md assumes the agent may collect external sources (web/API access) if your OpenClaw setup provides that capability — verify which core skills or connectors (browser, web fetch, APIs) are enabled so you know whether the agent will reach the network; (3) no credentials or installs are required, but review the included templates and references so you are comfortable with the file layout and naming; (4) the package source/homepage is unknown, so if provenance matters to you, validate the owner or inspect the SKILL.md and reference files yourself before use. Overall: safe and proportionate for local, auditable research workflows, but exercise normal caution about workspace permissions and network-capable agent connectors.
功能分析
Type: OpenClaw Skill
Name: multi-agent-deep-research
Version: 1.0.0
The skill bundle provides a structured framework for conducting deep research using local file-backed state and evidence ledgers. It contains no executable code, suspicious commands, or instructions that would lead to data exfiltration or unauthorized access. The instructions in SKILL.md and the reference files (e.g., project-layout.md, evidence-standards.md) are entirely focused on organizing research artifacts like sources, claims, and reports within the user's workspace.
能力评估
Purpose & Capability
Name and description match the SKILL.md and included reference files: everything is oriented to creating local, file-backed research projects, ledgers, templates, and delegation patterns. There are no unexpected dependencies, binaries, or credentials requested.
Instruction Scope
Runtime instructions are explicit about creating project directories and writing local ledgers in the workspace. They only reference local paths and project files provided in the package. Delegation/subagent use is explicitly conditional on user request and platform support; instructions do not tell the agent to read unrelated system files or transmit data to unknown endpoints.
Install Mechanism
This is an instruction-only skill (no install spec, no code files to execute). Nothing is downloaded or written into system locations by an installer; the workflow writes artifacts into the user's workspace only, per the guidance.
Credentials
No environment variables, credentials, or config paths are required. The declared requirements are minimal and proportionate to a workspace-based research workflow.
Persistence & Privilege
always is false and the skill does not request persistent elevated privileges or modify other skills' configurations. It only instructs writing project files within the active workspace, which is consistent with its purpose.
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 multi-agent-deep-research - 安装完成后，直接呼叫该 Skill 的名称或使用
/multi-agent-deep-research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
v1.0.0
- Initial release of openclaw-deep-research for OpenClaw.
- Enables coordination of in-depth, source-verifiable research projects with explicit file-backed artifacts and claim/source ledgers.
- Supports both single- and multi-agent workflows, with optional delegation and clear role boundaries.
- Enforces rigorous auditability: every significant claim must have traceable sources, dates, and comparison metrics.
- Provides step-by-step workflow—from scope freezing to QA—with strict separation of facts, interpretations, comparisons, and forecasts.
- Includes detailed project structure, evidence rules, delegation patterns, and writing standards for reproducible research.
元数据
常见问题
multi-agent-deep-research 是什么？
Coordinate deep, source-verifiable research projects in OpenClaw using AgentSkills-compatible folders, local artifact tracking, and explicit evidence ledgers... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 149 次。
如何安装 multi-agent-deep-research？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install multi-agent-deep-research」即可一键安装，无需额外配置。
multi-agent-deep-research 是免费的吗？
是的，multi-agent-deep-research 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
multi-agent-deep-research 支持哪些平台？
multi-agent-deep-research 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 multi-agent-deep-research？
由 ZZXX-bit（@zzxx-bit）开发并维护，当前版本 v1.0.0。
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