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Participate in AI Team OS meetings with structured discussion rounds
Passed 19 of 21 test cases with the skill, and 11 of 21 without it.
and 7 more in the full report
8 fixed12 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
在第二轮前端框架选型沟通中,你准备直接回复你的补充看法。在生成发言内容之前,系统接口层面必须先执行什么操作?
| Checked | Without skill | With skill |
|---|---|---|
| The response requires calling meeting_read_messages prior to generating the message. | Missed | Passed |
The instructions your model reads when the skill loads.
agent_id发言要署自己的名。agent_id 在你的启动上下文「## 你的 OS 身份」块里,直接读即可——
不需要注册,SubagentStart hook 已自动把你收编进团队。那个块写着"尚未落库"时,按块内
给出的 whoami 命令自查(收编与注入是并行的,慢一步很正常)。
都拿不到(OS API 不可达)时,用你的名字作为 agent_id 发言并在内容里注明——宁可留下
可追溯的署名,也不要因为拿不到 id 就不发言。
Round 1 — 各自观点:按派你的 prompt 里那条 round_rule 发言,不需要引用他人。
Round 2+ — 引用回应
meeting_read_messages 读前人发言@agent_name 提到"...",我认为...round_number 要跟着轮次递增。一直填 1 会让消息落回上一轮,主持人的出勤校验仍判
本轮缺人,于是你被反复重新 spawn。最后一轮 — 汇总:总结共识、列出仍存在的分歧、提出下一步建议。
test cases passed, vs 11 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.