tang-agents

Fault-tolerant multi-agent system for collaborative task execution with policy drafting, review, dispatch, parallel ministry actions, and comprehensive fault...

This skill appears internally consistent and implements the described local multi-agent framework. Before installing: (1) inspect the rest of tang_agents.py to confirm there are no hidden network calls, hardcoded endpoints, or code that sends data externally (the file provided in the package should be reviewed end-to-end); (2) verify whether aiohttp is actually used — if not, the requirements file can be tightened; (3) run the package in a sandboxed environment first (or in a virtualenv) to observe network activity and avoid side effects; (4) prefer pinned dependency versions from trusted sources, and be cautious about installing packages from PyPI in sensitive environments. If you want, I can scan the remaining portion of tang_agents.py for any network requests or suspicious patterns (HTTP requests, sockets, subprocess usage) and report back.

Type: OpenClaw Skill Name: tang-agents Version: 1.0.1 The skill bundle implements a multi-agent collaboration framework ('Tang Agents') featuring fault-tolerance mechanisms like circuit breakers, timeouts, and graceful degradation. The code in `tang_agents.py` and the instructions in `SKILL.md` are well-structured and consistent with the stated purpose of providing a hierarchical agent orchestration system. There is no evidence of malicious behavior, data exfiltration, or unauthorized execution; the agent actions are currently implemented as safe, simulated logic.