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版本数
在 OpenClaw 中安装
/install team-discuss
功能描述
Multi-agent tool for structured, multi-round discussions with dialectic analysis, random speaking order, shared state, and integration of real sub-agents for...
安全使用建议
This skill appears to be an orchestrator for multi-agent discussions and is not obviously malicious, but exercise caution: (1) the bundle is incomplete — SKILL.md describes core modules that are not included, so the example won't run as-is without additional code; (2) the runtime instructions allow spawning sub-agents (sessions_spawn) and persisting discussion state to disk, which can cause data to be read from your workspace and transmitted to other agents — review the prompts and any data you pass into the orchestrator; (3) confirm where the missing core code would come from (trusted source) before running; and (4) if you plan to use it with sensitive data, restrict the base_dir and avoid pointing it at project root or privileged paths. If you want, I can: list exact places to search/lock down on your system, suggest safe sandboxing steps, or attempt to map which platform permissions sessions_spawn requires.
功能分析
Type: OpenClaw Skill
Name: team-discuss
Version: 0.1.1
The Team-Discuss skill is a framework for orchestrating multi-agent discussions and dialectical analysis. The provided code (teamDiscuss.py) and documentation (SKILL.md, README.md) describe a legitimate system for managing shared state and agent communication using standard OpenClaw primitives like sessions_spawn. No indicators of data exfiltration, malicious execution, or harmful prompt injection were found.
能力评估
Purpose & Capability
The name/description (multi-agent discussion/orchestration) aligns with the SKILL.md: shared state, dialectic analysis, and sessions_spawn usage. However, the package claims a larger project structure (src/core modules like SharedStore, Orchestrator, DialecticEngine) that are not present in the provided files — only teamDiscuss.py, README, SKILL.md, and a demo JSON are included. That mismatch means the shipped bundle does not contain the code the docs describe, which is an incoherence (could be an instruction-only skill that expects platform-provided APIs).
Instruction Scope
SKILL.md instructs the agent to persist shared state to a local './discussions' directory and to call real sub-agents via sessions_spawn(runtime='subagent', agentId=..., task=...). sessions_spawn gives the skill the ability to invoke other agents and forward prompts/tasks; combined with file-based persistence this can cause data to be read/written and forwarded to other agents. The instructions also reference absolute or user filesystem paths in examples (e.g., /root/.openclaw/workspace/data/projects/team-discuss, /path/to/team-discuss/src), which — if followed verbatim or modified — could lead to reading arbitrary project data. While these behaviors are within the expected scope for a multi-agent orchestrator, they materially broaden what the skill will access and transmit, and the SKILL.md gives the agent leeway to spawn sub-agents and build prompts (potentially including contextual data).
Install Mechanism
No install spec is provided (instruction-only with a single example script). This is lower-risk from an install/execution perspective because nothing arbitrary is downloaded or extracted during install. However, the code and documentation reference modules (core, models) that are not included, so running the example may require installing missing code from elsewhere.
Credentials
The skill declares no required environment variables or credentials, which is reasonable for a local orchestrator. That said, the instructions rely on sessions_spawn (a platform API) and file-based persistence: although no explicit secrets are requested, invoking sub-agents could cause the agent to include contextual data inadvertently in requests to other agents. The skill also suggests touching directories under the user's workspace; no environment/credential access is required by the bundle itself, but platform-level agent/session permissions could be relevant.
Persistence & Privilege
always is false (normal) and the skill does not request to modify other skills or system-wide agent settings. It does instruct use of a local SharedStore (file-based persistence) which will create/read/write files in the working directory; that is expected for a shared-state orchestrator but should be considered persistent storage for discussion contents.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install team-discuss - 安装完成后，直接呼叫该 Skill 的名称或使用
/team-discuss触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v0.1.1
Initial release with timestamp support and clean demo data
v0.1.0
Initial release: multi-agent discussion tool with dialectical logic
v0.2.5
README and teamDiscuss.py: removed Chinese, hidden paths, simplified IDs
v0.2.4
Renamed example.py to teamDiscuss.py
v0.2.3
Fixed example.py: removed hardcoded path, changed comments to English
v0.2.2
Added philosophical debate use cases and examples
v0.2.1
Updated to English documentation with bilingual support
v0.2.0
- Added real Agent integration using sessions_spawn, enabling live sub-agent participation in discussions.
- Expanded documentation with detailed usage scenarios, API examples, project structure, and troubleshooting.
- Described dialectic logic features: fallacy detection, argument analysis, and enforcement mechanisms.
- Outlined configuration options, best practices, and future roadmap (Devil's Advocate, stance rewards, CLI, REST API, Web UI).
- Provided an English summary for broader accessibility.
元数据
常见问题
team-discuss 是什么？
Multi-agent tool for structured, multi-round discussions with dialectic analysis, random speaking order, shared state, and integration of real sub-agents for... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 325 次。
如何安装 team-discuss？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install team-discuss」即可一键安装，无需额外配置。
team-discuss 是免费的吗？
是的，team-discuss 完全免费（开源免费），可自由下载、安装和使用。
team-discuss 支持哪些平台？
team-discuss 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 team-discuss？
由 chyher（@chyher）开发并维护，当前版本 v0.1.1。
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