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jini92

Advisory Committee

by jini92 · GitHub ↗ · v1.1.0
cross-platform ✓ Security Clean
412
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Install in OpenClaw
/install advisory-committee
Description
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...
README (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

Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install advisory-committee
  3. After installation, invoke the skill by name or use /advisory-committee
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
Full English rewrite: all Korean text translated
v1.0.0
Initial release: 4-agent decision framework (CS / Marketing / Finance / Tech)
Metadata
Slug advisory-committee
Version 1.1.0
License
All-time Installs 2
Active Installs 2
Total Versions 2
Frequently Asked Questions

What is Advisory Committee?

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... It is an AI Agent Skill for Claude Code / OpenClaw, with 412 downloads so far.

How do I install Advisory Committee?

Run "/install advisory-committee" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Advisory Committee free?

Yes, Advisory Committee is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Advisory Committee support?

Advisory Committee is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Advisory Committee?

It is built and maintained by jini92 (@jini92); the current version is v1.1.0.

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