Openclaw Team Builder

Discover, compose, and activate specialist teams from 3 rosters — OpenClaw Core (CEO/IG/Artist), Agency Division (55+ specialists), and Research Lab (autonom...

This skill is mostly documentation for composing teams, which is fine, but there are important mismatches you should clarify before installing or using it: - Ask the author how the skill expects to access external services: where do trading credentials, OpenAI/xAI keys, or a 'Config Write API' token come from? The skill declares none. - Confirm whether the referenced reference/agency-agents-main files and any required workspaces (e.g., .openclaw/workspace/) are actually bundled or available on your platform. The SKILL references many file paths that are not present in the package manifest. - Be cautious about activating Research Lab workflows: the docs describe an autonomous, indefinite loop that can modify configs and run experiments. If the platform grants the skill live execution or the ability to write configs, this could cause continuous actions against trading systems or other services. Refuse or sandbox such behavior unless you trust the source and have safe limits (rate limits, timeouts, least privileges). - Do not grant trading or account credentials to this skill unless you fully trust the publisher and have audited how those credentials will be used. Prefer least-privilege API keys and test in a sandbox account. - If you want to proceed: require the author to add explicit 'required env vars' and an install/usage README explaining how credentials are provided, what external APIs are invoked, and what safety bounds (timeouts, budget limits, experiment caps) protect autonomous loops. Given the above mismatches (capability claims vs. zero declared credentials and implicit ability to change live configs/trades), treat installation as suspicious until the author explains and fixes these gaps.

Type: OpenClaw Skill Name: openclaw-team-builder-skill Version: 1.0.0 The skill bundle defines a highly complex multi-agent orchestration framework with several high-risk autonomous capabilities. Most notably, TEAM-RESEARCH.md describes an 'Autonomous Experiment Methodology' (based on Karpathy's autoresearch) that instructs the agent to modify and execute code or configurations in an iterative loop to optimize metrics. Additionally, TEAM-CORE.md defines an 'IG' agent with access to live financial trading operations and neural brain patterns, while TEAM-AGENCY.md references over 55 external specialist definitions. While these features are aligned with the stated 'Team Builder' purpose and include structured QA gates (REVIEWER.md), the autonomous code modification and financial integration represent significant high-risk behaviors.