AgentTeams is a runtime platform where multiple AI agents collaborate in shared Matrix rooms under the coordination of a manager. It is for human-supervised or enterprise workflows that need visible, auditable cooperation among agents running on different runtimes, with shared files and centralized traffic management.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/agentscope-ai/agentteams/communicationnpx skills add agentscope-ai/AgentTeams --skill communicationgit clone --depth 1 https://github.com/agentscope-ai/AgentTeamsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/agentscope-ai/agentteams/communication)<a href="https://agentmods.dev/skills/agentscope-ai/agentteams/communication"><img src="https://agentmods.dev/badge/skills/agentscope-ai/agentteams/communication.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00036 | $0.00410 |
| Opus 5 | $0.00018 | $0.00205 |
| Sonnet 5 | $0.00007 | $0.00082 |
| Haiku 4.5 | $0.00004 | $0.00041 |
Grade A, and why
communication scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Communication
Routing
Always reply directly in the current room. Do not use the message tool for cross-room sends — Workers do not communicate across rooms.
Coordinator Identity
Your coordinator is the sender of the current task assignment message. Use that Matrix ID directly for @mentions. Do not call organization or agt CLI to look up your coordinator during standard task flows.
@Mention Rules
Use a full Matrix ID when the recipient must act.
Mention your coordinator only for:
- Task completion:
@coordinator:domain TASK_COMPLETED: <summary> - Blocker:
@coordinator:domain BLOCKED: <what is blocking you> - Question:
@coordinator:domain QUESTION: <your question> - Direct answer to a coordinator question
Do not @mention for:
- "Got it"
- "Thanks"
- "Working on it"
- Encouragement-only replies
- Status symbols such as green dots or check marks
- Short acknowledgments such as
ok,done,收到, or好的 - Mid-task progress that requires no decision
Exception: when a new assigned task arrives, task-management requires you to directly say in the current room that you received the message before task acceptance work starts. Do not turn it into a progress thread, and do not send repeated acknowledgements for the same task.
Before sending any @mention, remove all Matrix IDs from the message in your head. Send only if the remaining text contains a concrete completion, blocker, question, requested answer, or decision.
History Context
If your message includes a history section, treat it as context only. Act on the current message section.
Loop Safeguard
If two rounds of replies produce no new task, question, or decision, stop replying.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 48 lines · 36 tokens per session scan A 53d4b38f3d90
communication is a skill published in the GitHub repository agentscope-ai/AgentTeams (5,564 stars, last pushed today), licensed Apache-2.0. It adds 36 tokens to every session and 410 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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