Openclaw Enterprise

Use when user needs enterprise multi-agent collaboration system. Use when orchestrating 1 ChiefOfStaff + multiple specialized AI agents. Use when automating...

This skill appears to be a coherent multi-agent orchestration design, but there are mismatches you should resolve before installing or providing credentials: 1) The package asks for ANTHROPIC_API_KEY but the included Python scripts do not use it — do not supply unrelated API keys unless you need them. 2) The repo lists server dependencies (FastAPI, langgraph) and npm metadata but has no install script — confirm how to deploy and which dependencies are actually required. 3) README examples show external API usage (api.openclaw.ai); if you will connect to such endpoints, review their privacy/security policies and consider using an isolated/test environment first. 4) The release notes indicate past security flags for hardcoded keys; scan the codebase for embedded secrets and network calls before use. Practical next steps: run a quick grep for 'API_KEY'/'Bearer' in the code, run the skill in an isolated container or VM, ask the publisher ([email protected] or the repository owner) to explain why ANTHROPIC_API_KEY is required and to provide an explicit install/deployment guide, and only provide credentials with least privilege (or use temporary/test keys).

Type: OpenClaw Skill Name: openclaw-enterprise Version: 1.2.3 The skill bundle provides a comprehensive framework and simulation for an enterprise multi-agent orchestration system. The core logic in scripts like chief_of_staff.py, industrial_agents.py, and workflow_engine.py focuses on keyword-based task routing and workflow management using mock data, with no evidence of dangerous execution (eval/exec), unauthorized network access, or data exfiltration. While the documentation mentions requirements for API keys and external tools like curl, the implementation remains purely logical and aligned with its stated purpose of automating business workflows.