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Openclaw
by
shineliang
· GitHub ↗
· v1.2.0
· MIT-0
116
Downloads
0
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0
Active Installs
3
Versions
Install in OpenClaw
/install multi-agent-industry-research
Description
Multi-agent collaborative industry research for OpenClaw. Dynamically assigns research roles, runs parallel research via sessions_spawn with codex/gemini/cla...
Usage Guidance
Before installing, be aware this skill will: 1) run shell commands that list, move, and may delete directories and files in your working directory; 2) read many RESEARCH_* environment variables at runtime even though none are declared in the registry; 3) call your locally-installed model CLIs (codex/gemini/claude), which will use whatever credentials/config you have for those tools and will see the data you pipe to them; 4) spawn multiple sub-agents automatically and requires certain steps happen in a single turn without pausing. Recommendations: back up and/or run in an isolated workspace, set RESEARCH_CLI_TOOLS=none if you do not want it to call local CLIs, review and (if needed) remove any sensitive files or env vars before running, and inspect the SKILL.md text closely to confirm you accept the described file operations and automatic spawning behavior. If you need stronger assurance, request an explicit declaration of which credentials/CLIs will be used and run the skill first in a sandboxed environment.
Capability Analysis
Type: OpenClaw Skill
Name: multi-agent-industry-research
Version: 1.2.0
The skill bundle implements a complex multi-agent research workflow that utilizes high-risk capabilities, including 'sessions_spawn' for agent recursion and 'exec' for shell-based operations. It specifically uses 'curl' to query a local OpenClaw API (http://localhost:18789/api/session/info) to synchronize model settings and employs shell pipes to send research data to external CLI tools (codex, gemini, claude) for cross-validation as detailed in 'SKILL.md' and 'references/cross-validation.md'. While these behaviors are aligned with the stated purpose of multi-model industry analysis, the extensive use of arbitrary shell execution and local network interaction represents a significant security risk without further sandboxing, although no clear evidence of intentional malice was found.
Capability Assessment
Purpose & Capability
The name/description (multi‑agent research) aligns with use of sessions_spawn, exec, web_search and optional model CLIs. However, the SKILL.md expects the agent to run shell commands that inspect, move, or delete local project directories and to query a local session API — filesystem and local-session access are heavier privileges than a simple 'research report' skill would normally require and should be explicitly justified. Also the skill relies on local model CLIs (codex/gemini/claude) and their credentials implicitly rather than declaring those as required environment variables.
Instruction Scope
The runtime instructions tell the agent to run many shell commands (ls, mv, rm -rf, mkdir, curl to localhost, write/read files under project and /tmp), to create/modify project dirs, and to immediately spawn multiple sub-agents in the same turn (explicitly forbids pausing). It also instructs writing sensitive interim files (/tmp/research-cross-validate.txt) and piping them to third-party CLIs. The skill reads environment variables at runtime (via exec) though none are declared in the registry. These behaviors extend well beyond pure 'analysis' and can modify or delete local data and transmit analysis to external model CLIs.
Install Mechanism
Instruction-only skill (no install spec, no code files). This minimizes supply-chain risk because nothing is downloaded or installed by the skill itself.
Credentials
Registry lists no required env vars, but SKILL.md reads a long list of RESEARCH_* environment variables at runtime (e.g., RESEARCH_MODELS, RESEARCH_CLI_TOOLS, RESEARCH_CLI_TIMEOUT). The skill also expects to use the user's locally-configured model CLIs (which rely on credentials stored in those CLIs) without declaring them. Requesting implicit access to CLI-authenticated provider accounts and reading many env vars is disproportionate unless the user explicitly intends to share those locally configured credentials.
Persistence & Privilege
always:false (normal), but the skill instructs automatic spawning of multiple sub-agents and execution of shell commands (including rm -rf) during a single turn without user confirmation in key steps. Autonomous invocation combined with destructive filesystem operations and piping content to external provider CLIs increases risk. The skill does ask for user confirmation before some destructive actions (archive/delete options), but other parts mandate immediate action and forced sessions_spawn calls.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install multi-agent-industry-research - After installation, invoke the skill by name or use
/multi-agent-industry-research - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.2.0
Add history cleanup check (Phase 0 step 1) to prevent old research outputs from polluting new runs; add model inheritance so sub-agents inherit the main session model instead of falling back to openclaw.json defaults; all sessions_spawn calls now require explicit model parameter
v1.1.0
Add OpenClaw metadata (requires, emoji, homepage) for proper installation
v1.0.0
Initial release: multi-agent collaborative industry research with async multi-agent orchestration via OpenClaw sessions_spawn
Metadata
Frequently Asked Questions
What is Openclaw?
Multi-agent collaborative industry research for OpenClaw. Dynamically assigns research roles, runs parallel research via sessions_spawn with codex/gemini/cla... It is an AI Agent Skill for Claude Code / OpenClaw, with 116 downloads so far.
How do I install Openclaw?
Run "/install multi-agent-industry-research" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Openclaw free?
Yes, Openclaw is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Openclaw support?
Openclaw is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Openclaw?
It is built and maintained by shineliang (@shineliang); the current version is v1.2.0.
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