meeting-participate

meeting-participate is a skill for Claude Code from CronusL-1141/AI-company. It costs 16 tokens per session (899 once invoked), scanned B, original, MIT.

A meeting procedure for AI Team OS agents working together in structured discussion rounds. It covers reading earlier messages and sending a signed contribution.

In plain words
What is it for?
Use it when invited to an AI Team OS meeting, to identify the agent, review messages, analyze agreement and disagreement, and post a contribution for the current round.
Why use it?
It helps each agent understand the current discussion and leave a traceable opinion instead of adding disconnected or anonymous comments.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: reads .claude/ paths.

Part of the ai-team-os plugin — 5 skills, 8 commands, 25 agents, 15 hooks, 1 MCP server shipped together

Good fit Use it when invited to an AI Team OS meeting, to identify the agent, review messages, analyze agreement and disagreement, and post a contribution for the current round.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cronusl-1141/ai-company/meeting-participate
Install

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.

Any agent
npx skills add CronusL-1141/AI-company --skill meeting-participate
Clone the repo
git clone --depth 1 https://github.com/CronusL-1141/AI-company

Made for: Claude Code.

Or install ai-team-os, the plugin that ships this one along with the rest of its 5 skills, 8 commands, 25 agents, 15 hooks, 1 MCP server.

Wrote 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.

agentmods badge for meeting-participate

README.md
[![agentmods](https://agentmods.dev/badge/skills/cronusl-1141/ai-company/meeting-participate/github.svg)](https://agentmods.dev/skills/cronusl-1141/ai-company/meeting-participate)
Your own site
<a href="https://agentmods.dev/skills/cronusl-1141/ai-company/meeting-participate"><img src="https://agentmods.dev/badge/skills/cronusl-1141/ai-company/meeting-participate/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for meeting-participate

Your own site · 80×15
<a href="https://agentmods.dev/skills/cronusl-1141/ai-company/meeting-participate"><img src="https://agentmods.dev/badge/skills/cronusl-1141/ai-company/meeting-participate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 899 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Agent Snooping · line 21
    Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.
    Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00016 $0.00899
Opus 5 $0.00008 $0.00449
Sonnet 5 $0.00003 $0.00180
Haiku 4.5 $0.00002 $0.00090

Measured 13d ago against content hash 648af0627c86, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade B, and why

meeting-participate scanned grade B with 2 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 13d 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

curl -s "http://localhost:$(cat ~/.claude/data/ai-team-os/api_port.txt)/api/agents/whoami?name=<你的名字>&session_id=<你的会话id>"

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s "http://localhost:$(cat ~/.claude/data/ai-team-os/api_port.txt)/api/agents/whoami?name=<你的名字>&session_id=<你的会话id>"
plugin/skills/meeting-participate/SKILL.md · 96 lines

What it actually says

Meeting Participate — 会议参与技能

当你被邀请参加一个会议时,按照以下流程参与讨论。会议是多 Agent 异步协作的核心机制。

前提:先拿到自己的 agent_id

发言必须署自己的名,所以第一步是确认 agent_idagent_name不需要注册—— 你被派出时 SubagentStart hook 已自动把你收编进团队(os-register 技能与 agent_register 工具均已退役)。按下面顺序取 id,命中即停:

  1. 读注入:启动上下文里的「## 你的 OS 身份」块,直接给出 agent_id / team_id / 名字。绝大多数情况到此为止。

  2. 服务端反查(注入里写着"尚未落库"时用):收编与注入是并行的,慢一步很正常。

    curl -s "http://localhost:$(cat ~/.claude/data/ai-team-os/api_port.txt)/api/agents/whoami?name=<你的名字>&session_id=<你的会话id>"
    

    服务端按 cc_agent_id会话+名字名字 三级反查,返回 {"found": true, "agent_id": ...}

  3. 兜底agent_list(team_id) 里按名字找自己那一行。

三条都拿不到(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。

参与流程

1. 读取会议消息

进入会议后,先了解当前讨论状态:

使用 MCP tool: meeting_read_messages
参数:
  meeting_id: <会议ID>

2. 分析已有发言

仔细阅读所有已有消息:

  • 理解每位参与者的核心观点
  • 找出共识点和分歧点
  • 识别尚未被讨论的角度

3. 发送你的观点

根据当前轮次发送消息:

使用 MCP tool: meeting_send_message
参数:
  meeting_id: <会议ID>
  agent_id: <你的agent_id>
  agent_name: <你的名称>
  content: <你的发言内容>
  round_number: <当前轮次>

4. 讨论规则

严格遵循以下讨论规则:

Round 1 — 各自观点

  • 独立提出你对议题的看法
  • 基于你的角色和专业领域发表见解
  • 不需要引用他人(还没有人发言)

Round 2+ — 引用回应

  • 必须先读取前人发言(再次调用 meeting_read_messages
  • 引用并回应具体观点,格式如:@agent_name 提到"...",我认为...
  • 可以补充新观点,但必须至少回应一个已有观点
  • 明确表达同意或不同意,并给出理由

最后一轮 — 汇总

  • 总结本次讨论的共识
  • 列出仍存在的分歧
  • 提出下一步建议

5. 多轮参与

如果会议有多轮讨论:

  1. 每轮开始前重新读取消息,获取最新发言
  2. 递增 round_number
  3. 持续参与直到会议被主持人结束

发言质量要求

  • 具体: 不要泛泛而谈,要给出具体的技术方案或理由
  • 有建设性: 提出问题的同时给出解决方案
  • 尊重他人: 不同意时对事不对人,用"我认为"而非"你错了"
  • 简洁: 每次发言聚焦1-3个核心观点,避免冗长
Changes

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.

  1. 13d ago First seen · 96 lines · 16 tokens per session scan B 648af0627c86

Subscribe to this mod's changes

meeting-participate is a skill published in the GitHub repository CronusL-1141/AI-company (357 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 899 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 2 findings (reads agent configuration directories, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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