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Advisory Committee

作者 jini92 · GitHub ↗ · v1.1.0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install advisory-committee
功能描述
4-agent AI advisory committee for strategic decisions. Runs CS, Marketing, Finance, and Tech agents in sequence to analyze proposals and deliver a majority-v...
使用说明 (SKILL.md)

Advisory Committee

How It Works

When given a proposal, run the following 4 agents in sequence. Each agent judges independently.

Agent Order

  1. 🎧 CS Agent "User Champion" — User value perspective
  2. 📣 Marketing Agent "Growth Hacker" — Distribution/growth perspective
  3. 📦 Finance Agent "CFO" — ROI/priority perspective
  4. 🔧 Tech Agent "CTO" — Implementation/complexity perspective

Each agent verdict: ✅ YES / ❌ NO / ⚠️ Conditional

Output Format

## 🏛️ Committee — [Proposal]

### 🎧 CS — [✅/❌/⚠️]
> [2~3 lines of reasoning]

### 📣 Marketing — [✅/❌/⚠️]
> [2~3 lines of reasoning]

### 📦 Finance — [✅/❌/⚠️]
> [2~3 lines of reasoning]

### 🔧 Tech — [✅/❌/⚠️]
> [2~3 lines of reasoning]

## 📋 Recommendation
**Decision: [YES / NO / Conditional]**
> [One-line action]

Agent Criteria

For detailed judgment criteria per agent, see references/committee-roles.md.

Decision Log

After each decision, append a row to the decision log table:

| Date | Proposal | CS | Marketing | Finance | Tech | Decision | |------|----------|----|-----------|---------|----|----------|\r

安全使用建议
This skill is instruction-only and appears internally consistent with its stated purpose. Before enabling it broadly, confirm where the decision log will be stored (conversation only vs. persistent memory or external storage), how tie-breaks are resolved, and whether your agent will run the committee autonomously on triggers you care about. Avoid submitting sensitive or confidential proposals until you've verified the host's persistence and sharing policies, and test with non-sensitive examples first.
功能分析
Type: OpenClaw Skill Name: advisory-committee Version: 1.1.0 The skill bundle defines a multi-agent workflow for strategic decision-making, outlining agent roles, sequence, criteria, and output format. All instructions in SKILL.md and references/committee-roles.md are aligned with this stated purpose. There are no indications of malicious intent, such as data exfiltration, unauthorized command execution, persistence mechanisms, or prompt injection attempts designed to subvert the agent's core function or access sensitive data. The instruction to 'append a row to the decision log table' refers to output formatting within the agent's response, not a file system operation.
能力评估
Purpose & Capability
Name/description (4-agent advisory committee) matches the SKILL.md and the included role definitions; no unexpected binaries, env vars, or external services are requested.
Instruction Scope
Runtime instructions stay within the advertised purpose (run four agents in sequence, produce per-agent verdicts, and append a decision-log row). Minor ambiguity: the skill doesn't specify tie-breaking rules, how much context each agent may use, or where the decision log is persisted (conversation only, memory store, or external storage). This is a functional omission rather than a safety mismatch.
Install Mechanism
No install spec and no code files — lowest-risk model. Nothing is downloaded or written to disk by the skill itself.
Credentials
No environment variables, credentials, or config paths are requested; requested permissions are proportionate to the described functionality.
Persistence & Privilege
always:false and autonomous invocation allowed (platform default). The skill does not request elevated or persistent platform privileges or modify other skills. Consideration: outputs/logs could be persisted by the host agent if that host saves conversation history or memory.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install advisory-committee
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /advisory-committee 触发
  4. 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
v1.1.0
Full English rewrite: all Korean text translated
v1.0.0
Initial release: 4-agent decision framework (CS / Marketing / Finance / Tech)
元数据
Slug advisory-committee
版本 1.1.0
许可证
累计安装 2
当前安装数 2
历史版本数 2
常见问题

Advisory Committee 是什么?

4-agent AI advisory committee for strategic decisions. Runs CS, Marketing, Finance, and Tech agents in sequence to analyze proposals and deliver a majority-v... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 412 次。

如何安装 Advisory Committee?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install advisory-committee」即可一键安装,无需额外配置。

Advisory Committee 是免费的吗?

是的,Advisory Committee 完全免费(开源免费),可自由下载、安装和使用。

Advisory Committee 支持哪些平台?

Advisory Committee 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 Advisory Committee?

由 jini92(@jini92)开发并维护,当前版本 v1.1.0。

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