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Install in OpenClaw
/install multi-agent-deep-research
Description
Coordinate deep, source-verifiable research projects in OpenClaw using AgentSkills-compatible folders, local artifact tracking, and explicit evidence ledgers...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install multi-agent-deep-research - After installation, invoke the skill by name or use
/multi-agent-deep-research - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is multi-agent-deep-research?
Coordinate deep, source-verifiable research projects in OpenClaw using AgentSkills-compatible folders, local artifact tracking, and explicit evidence ledgers... It is an AI Agent Skill for Claude Code / OpenClaw, with 149 downloads so far.
How do I install multi-agent-deep-research?
Run "/install multi-agent-deep-research" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is multi-agent-deep-research free?
Yes, multi-agent-deep-research is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does multi-agent-deep-research support?
multi-agent-deep-research is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created multi-agent-deep-research?
It is built and maintained by ZZXX-bit (@zzxx-bit); the current version is v1.0.0.
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