six-agent-orchestrator

六Agent协作编排器 - 开箱即用的多Agent团队模板。包含CEO（架构师）、PM（项目经理）、牢A（执行）、牢B（审计）、牢C（推理）、牢D（监控），6阶段Pipeline强制执行，Token配额自动管理，红线禁区自动检查。触发词：六Agent、多Agent协作、agent团队、协作编排、six agent...

This skill appears to be a local Python-based orchestrator and does not ask for credentials, which is good, but there are multiple implementation inconsistencies you should consider before running it: 1) The code does not actually enforce several claims from SKILL.md (red-line checks exist in code but are never invoked; token_monitor.py and orchestrate.py do not share persistent quota state; 'parallel-task-executor' and some API bits are missing/truncated). 2) There are name mismatches: pipeline owners are looked up by short names like 'CEO' while config/agents.json contains names like '小小兵CEO', so token accounting and owner lookups may silently fail. 3) The scripts write files (six-agent-logs.json, token-quota.json) to the working directory — run them in a sandbox or disposable container. 4) Because this is untrusted code, review or run it in an isolated environment before giving it any sensitive data or integrating into production. Recommended next steps: inspect the orchestrate.py and token_monitor.py locally (search for any network calls or subprocess usage — none found in the provided files), fix the agent name lookup or normalize config, decide whether token persistence/integration is acceptable, and only then run. If you lack the ability to audit code, avoid executing the scripts on a machine with sensitive files or credentials.

Type: OpenClaw Skill Name: six-agent-orchestrator Version: 1.0.0 The skill bundle provides a structured framework for multi-agent orchestration, including role definitions, token quota management, and a six-phase execution pipeline. The Python scripts (orchestrate.py and token_monitor.py) implement local logic for tracking task progress and simulated token usage without any dangerous system calls, network activity, or unauthorized file access. The instructions in SKILL.md are consistent with the stated purpose of managing complex AI workflows and do not contain malicious prompt injection or exfiltration attempts.